Alternatives to Modulo

Docket is the leading Agentic Marketing platform that turns inbound traffic into qualified pipeline for B2B marketing and revenue teams. Docket unifies and governs your organization's GTM knowledge in the Sales Knowledge Lake™ and activates it with powerful, always-on AI agents. Docket's AI Marketing Agent engages website visitors through real, human-like conversations, answering nuanced product questions from approved knowledge, qualifying intent through live discovery, and converting high-intent buyers into qualified leads and booked meetings. Autonomously. 24/7.

Dataiku is a comprehensive enterprise AI platform built to transform how organizations develop, deploy, and manage artificial intelligence at scale. It unifies data, analytics, and machine learning into a centralized environment where both technical and non-technical users can collaborate effectively. The platform enables teams to design and operationalize AI workflows, from data preparation to model deployment and monitoring. With its orchestration capabilities, Dataiku connects various data systems, applications, and processes to streamline operations across the enterprise. It also offers robust governance features that ensure transparency, compliance, and cost control throughout the AI lifecycle. Organizations can build intelligent agents, automate decision-making, and enhance analytics without disrupting existing workflows. Dataiku supports the transition from siloed models to production-ready machine learning systems that can be reused and scaled. Its flexibility allows businesses to modernize legacy analytics while preserving institutional knowledge. Companies across industries leverage the platform to accelerate innovation, improve efficiency, and unlock new revenue opportunities. By combining scalability, governance, and usability, Dataiku empowers enterprises to turn AI into a strategic advantage.

Cognigy.AI is an enterprise-grade conversational AI platform designed to automate customer interactions across various channels, including voice and chat. Leveraging advanced natural language understanding (NLU) and large language models (LLMs), it enables businesses to create intelligent AI agents capable of delivering personalized, human-like conversations. The platform offers robust integration capabilities, allowing seamless connectivity with existing contact center and CRM systems to enhance customer experience orchestration. With features like Agentic AI, Cognigy.AI introduces autonomous, goal-oriented agents that can think, adapt, and collaborate with both AI and human agents, navigating complex queries with flexibility and precision. This comprehensive solution empowers organizations to streamline customer service operations, improve engagement, and achieve higher efficiency in handling customer inquiries.

Kore.ai is a comprehensive enterprise AI platform focused on helping organizations implement agentic AI solutions across customer-facing and internal business operations. At the center of its ecosystem is Artemis, an AI-programmable platform that enables businesses to build, scale, orchestrate, and manage AI agents in production environments. The platform offers a range of enterprise modules that support intelligent search, workflow orchestration, AI agent development, governance, and administrative oversight. Businesses can deploy ready-made applications tailored for industries such as banking, healthcare, retail, recruiting, human resources, and information technology. Kore.ai also provides a marketplace containing pre-built AI agents, templates, and integrations that help accelerate implementation efforts. The platform supports both customer service and employee productivity initiatives, allowing organizations to automate repetitive tasks and improve access to information. Enterprise-grade security, compliance, and scalability features make it suitable for highly regulated industries and large organizations. Strategic integrations with Microsoft Azure, AWS, Microsoft Teams, Microsoft 365 Copilot, and other enterprise technologies extend the platform’s capabilities. Kore.ai helps companies transform operations through AI-driven automation, intelligent assistance, and scalable digital workforce solutions.

Superfactory serves as an orchestration and control-plane solution for AI software development, tailored for engineering leaders and platform teams managing coding agents. It integrates epics, tasks, bugs, dependencies, agent executions, worktrees, pull requests, review documentation, and merge readiness into a cohesive workflow. Teams can utilize a Kanban board to plan their tasks, delegate responsibilities to built-in agents or automated processes, and execute agents simultaneously across various repositories. The use of separate worktrees and stacked pull requests facilitates the organization of interdependent changes, while task-linked diffs, logs, and agent feedback enhance the review process before merging. It features distinct roles, including an epic runner, planner, pull-request reviewer, and bug-fixing agent. Rather than replacing existing coding agents or IDEs, Superfactory harmonizes with the development tools teams are already accustomed to, enhancing their capabilities; access to the platform is provided through a design-partner pilot program. This approach not only streamlines workflows but also fosters collaboration among team members, ensuring that all stakeholders are aligned in the development process.

Mastra is an open-source AI agent development framework built with TypeScript that helps developers create, test, deploy, and maintain intelligent applications. The framework provides configurable AI agents capable of reasoning through tasks, interacting with external tools, accessing information, and executing multistep operations. Its workflow orchestration capabilities allow developers to define structured sequences with conditional logic, parallel execution, retries, error handling, and human-in-the-loop approvals. Mastra includes persistent memory functionality that enables agents to retain conversation history, maintain structured working memory, and retrieve relevant information from previous interactions. Its agent harness supports long-running tasks, shared execution state, multiple operating modes, and persistent storage for complex autonomous applications. Developers can integrate different large language models through a unified model router and connect agents to external applications using APIs and Model Context Protocol servers. Built-in observability features provide execution traces, logs, performance metrics, token usage tracking, and debugging information for monitoring agent behavior. Evaluation tools support automated scoring, reusable test datasets, experiments, and performance comparisons to improve agent reliability before production deployment. Mastra integrates with frameworks such as React, Next.js, and Node.js and supports deployment through Mastra Cloud, standalone servers, and compatible cloud infrastructure.

Opsera Forge serves as an AI-driven software factory tailored for enterprise teams focused on application development and the modernization of outdated systems. It transforms business objectives and current codebases into organized requirements, specifications, architectural alternatives, user narratives, and actionable work orders. Before the development phase, teams meticulously review and endorse these generated artifacts, while Forge ensures that relevant application context, limitations, and policies are integrated into the AI-assisted development process. The platform's workflow encompasses evaluating codebases, planning based on specifications, conducting governance checks, implementing human approval stages, and maintaining traceability throughout requirements, code modifications, testing, and deployment. It supports various scenarios such as updating legacy systems, creating new applications, upgrading frameworks, converting monolithic architectures to microservices, and migrating databases. Furthermore, Forge is engineered to seamlessly integrate with existing AI coding tools, version control systems, delivery pipelines, and either cloud or on-premises setups, making it a versatile solution for modern software development needs. Its comprehensive approach ensures that enterprises can efficiently navigate the complexities of today's software landscape.

Software Factory by 8090 is a modern SDLC platform designed for AI-driven software development. It enables cross-functional teams to collaborate effectively throughout the software lifecycle. Refinery helps teams define and refine requirements with clarity before development begins. Foundry captures architectural and system-level decisions early to guide execution. Planner translates product intent into structured work orders for AI agents. Validator turns unstructured feedback into clear, actionable tasks. The platform reduces guesswork by providing rich context at every stage. Software Factory supports consistent, repeatable delivery of production-ready code. It is designed to scale across teams and organizations. Software Factory helps companies build software that remains reliable over time.

Factory.ai is an advanced AI-powered platform that brings agent-driven automation to software development workflows. It introduces “Droids,” intelligent agents capable of handling complex engineering tasks such as code refactoring, debugging, migrations, and incident management. The platform integrates directly into developers’ existing environments, including IDEs, terminals, Slack, and CI/CD systems. This allows teams to adopt AI assistance without changing their tools, workflows, or preferred models. Factory.ai is interface-agnostic and works with multiple model providers, ensuring flexibility for enterprise teams. It is designed to scale with growing development needs while maintaining high performance and efficiency. The platform emphasizes security and compliance, protecting sensitive code and data. Factory.ai also provides analytics to help teams measure the impact of AI on engineering outcomes. By automating repetitive and complex tasks, it reduces development time and operational overhead. Overall, it empowers teams to build software faster while maintaining control and flexibility.

The Harness Cosmos Software Factory Agent is a cloud-based platform designed to automate software engineering processes, facilitating the transition from issues or events to code modifications and pull requests. Teams have the ability to customize agent workflows by incorporating specialized experts, various execution environments, triggers, integrations, and checkpoints for human approval. These workflows can be initiated through ticket updates, pull requests, alerts, scheduled tasks, or webhooks; the agents can autonomously investigate tasks, devise changes, write code along with tests, create pull requests, and handle feedback from reviews. An integral feature is the code context engine, which fetches pertinent information from the codebase, while sandboxed virtual machines ensure a secure execution environment. Organizations involved in software engineering and platform development can utilize Cosmos to manage agent-led tasks such as implementation, code review, verification, and other associated development activities, benefiting from shared organizational knowledge, historical version tracking of workflows, audit logs, and controls for managing automation budgets. Furthermore, the streamlined collaboration afforded by these features enhances overall productivity within teams, making the software development process more efficient.

The HelpNow Agentic AI Platform by Bespin Global is a robust automation and orchestration solution designed for enterprises, enabling them to swiftly develop, implement, and oversee autonomous AI agents that are specifically aligned with their business processes, all without the need for extensive coding skills. This is achieved through a visual interface known as Agentic Studio and a centralized management portal, which allows for the creation of both single and multi-agent workflows, seamless integration with current systems using APIs and connectors, and real-time performance monitoring through an Agent Control Tower that ensures governance, enforces policies, and maintains quality standards. Furthermore, the platform facilitates LLM orchestration, accommodates various input formats (including text, voice, and STT/TTS), and offers flexible deployment options across multiple cloud environments such as AWS, GCP, Azure, and on-premises solutions, while ensuring connectivity to internal data and documents. By tapping into context-rich enterprise information, these agents are empowered to perform effectively. Additionally, the platform encompasses features for managing the entire lifecycle of agents, providing real-time observability, and integrating with both voice and document processing systems, all while adhering to enterprise governance protocols. Thus, organizations can harness advanced AI capabilities without compromising on control or oversight.

Warp Factories is a cloud-based platform designed for software engineering teams aiming to offload repetitive coding and repository-related tasks to AI agents. Users can establish factories that process work from various platforms including GitHub, Linear, Jira, Slack, Microsoft Teams, GitLab, and Azure DevOps; execute agent sessions in cloud environments; and assess code alterations through pull requests. These factories can be customized with specific instructions, tools, models, and agent harnesses such as Claude Code and Codex, while also facilitating ongoing engineering tasks with scheduled or event-triggered workflows. Teams are able to monitor execution runs, handle access permissions, and select between Warp-hosted or self-hosted execution environments. This robust product is tailored for software developers and engineering organizations looking to streamline code maintenance, efficiently resolve issues, and enhance feature development along with other repository-related operations. Its versatility empowers teams to focus more on innovation while ensuring that routine tasks are managed effectively by intelligent agents.

Zenflow serves as an AI orchestration platform designed to instill order and consistency in AI-enhanced software development by managing various AI agents within specification-driven workflows, ensuring that planning, implementation, testing, and review stages are adhered to, thus maintaining alignment with established requirements rather than relying on spontaneous prompts. It effectively structures repeatable processes that can function autonomously or with human oversight, incorporating automated validation and inter-agent quality checkpoints to minimize errors and eliminate "AI slop." Additionally, Zenflow facilitates the simultaneous execution of tasks in distinct environments, offers transparency into agent activities through project management interfaces, and features ready-made workflows for implementing new features, addressing bugs, and refactoring code, all of which users can modify or enhance. By anchoring tasks to a consistent source of truth, such as Product Requirement Documents (PRDs) or architectural specifications, it mitigates the risks of drift and scope expansion while also coordinating a variety of agents to identify potential blind spots among different model families. Ultimately, Zenflow empowers teams to harness AI capabilities more effectively, driving quality and efficiency in software development.

VDF AI serves as a robust platform for enterprise AI agents, allowing businesses to construct, implement, manage, and operate secure AI agents in various environments, including on-premises, private-cloud, and cloud settings. This innovative platform integrates multi-agent orchestration with private retrieval-augmented generation (RAG), alongside features like model registration and routing, governed tool execution, policy controls, auditability, and seamless enterprise integrations. Organizations are empowered to connect authorized local or cloud LLMs, develop reusable agents and workflows, and manage data isolation by company, department, or individual, ensuring stringent control over sensitive data. Designed for deployment in environments that are both regulated and sensitive to data, VDF AI supports essential human approval processes, role-based access, observability, and managed deployment via containerized infrastructure. It facilitates a transition for enterprises from fragmented AI pilot projects to large-scale, governed AI operations, while also mitigating vendor lock-in and prioritizing data sovereignty. Ultimately, VDF AI not only enhances operational efficiency but also fosters trust and compliance within the organization.

We are convinced that agentic technology holds significant value that should not be monopolized by a small number of corporations. Therefore, we are developing all our agents transparently on GitHub, utilizing the MIT license for open accessibility. Capable of performing any task a human developer can, our agents write code, execute commands, and access the web effectively. To ensure a harmonious blend of innovation and safety, we are collaborating with AI safety experts such as Invariant Labs. A vast community of developers is uniting to shape the AI-driven future they envision. Additionally, our agents are designed to be compatible with any provider of large language models, enhancing their versatility and reach. This commitment to openness and collaboration is paving the way for a more equitable technological landscape.

GenOS facilitates the deployment, management, and enhancement of artificial intelligence across various enterprise production processes. It features three integrated interfaces on a single governed platform: Assistant, serving as an internal AI hub for employees; Service, providing customer-facing AI capabilities across multiple channels; and Supervisor, which focuses on document processing and workflow automation with human oversight. The platform boasts robust governance features, including Single Sign-On (SSO), detailed Role-Based Access Control (RBAC) at the agent level, comprehensive audit trails for all actions taken, usage analytics, and automated evaluation pipelines. It supports multi-LLM routing among OpenAI, Anthropic, Google, and open-source models to ensure the optimal model is utilized for each specific task, effectively avoiding vendor lock-in. Deployment options are versatile, allowing for cloud-hosted solutions, Bring Your Own Cloud (BYOC) options such as AWS, Azure, and GCP, or on-premise installations. Additionally, each deployment is spearheaded by a dedicated engineer who not only builds and integrates the system but also maintains ongoing involvement for continuous enhancements and improvements. This commitment to support ensures that users can maximize the effectiveness of their AI implementations.

Flowra is a cloud-based platform that facilitates the development and execution of AI agents and automated workflows using natural language commands. Users can articulate a task, integrate various business applications via OAuth, and construct an agent capable of selecting tools during execution, following a predetermined workflow, or functioning as a coordinator that assigns tasks to subordinate agents. Executions can be initiated manually, scheduled, triggered by application events, through messaging platforms, a website widget, or via an API. Certain steps can include approval gates that allow for pauses, giving individuals the chance to review, modify, approve, or reject actions before they move forward. A comprehensive run ledger captures both inputs and outputs for later analysis. Additionally, users have the flexibility to create custom tools from API endpoints or concise scripts and can register MCP servers to enhance functionality. Flowra caters to a range of applications, including customer support, lead routing, generating email summaries, sending notifications, and managing issue triage. Delivered as a hosted service, it offers a user-friendly web dashboard, developer SDKs, and a command-line interface, making it accessible for various technical levels. This versatility ensures that businesses can streamline their processes effectively while leveraging AI capabilities to improve efficiency and productivity.

Dastia serves as a managed AI framework specifically designed for service-oriented enterprises, transforming organizational context, decision-making processes, and operational routines into an execution model that incorporates agent assistance alongside human oversight and validation. This innovative approach enhances efficiency and ensures accountability in business operations.

asqav is a cutting-edge platform focused on AI governance and security, aimed at ensuring that AI agents are always prepared for audits by offering real-time oversight, enforcement, and a reliable record of each action performed by the agents. It features a streamlined SDK that empowers developers to embed governance functionalities directly into their AI agents with minimal code, facilitating comprehensive monitoring throughout the entire lifecycle of AI activities. Additionally, the platform incorporates behavioral analysis to identify potential problems like drift, rate limits, and scope breaches, as well as sophisticated threat detection mechanisms that can recognize issues such as prompt injections, leaks of sensitive information, harmful outputs, and other dangers. Policy enforcement is achieved through customizable “policy gates,” which implement specific rules for each agent, conduct preflight assessments, and provide dynamic approvals before any actions are taken, thereby guaranteeing that agents function within established parameters. Furthermore, asqav enhances security with automated incident response features, allowing for the suspension, isolation, or escalation of agents deemed risky, all of which contribute to a robust framework for maintaining AI accountability and safety. In this way, asqav not only safeguards AI operations but also promotes trust in their deployment across various sectors.

Prefect is a Python-native automation platform built to orchestrate workflows and power AI applications at scale. It allows developers to convert simple Python functions into fully observable workflows using a lightweight, open-source framework. Prefect eliminates the need for complex rewrites while supporting production-grade orchestration. The platform offers managed services through Prefect Cloud, reducing operational overhead with autoscaling and enterprise security. Prefect Horizon provides managed AI infrastructure, enabling teams to deploy MCP servers and connect AI agents to internal systems. Both platforms run on the same codebase written by developers. Prefect delivers deep observability to help teams debug and optimize workflows efficiently. With zero vendor lock-in and Apache 2.0 licensing, it offers flexibility and control. Prefect is trusted by companies across industries to automate mission-critical processes. It supports faster deployment and reduced operational costs.

The Teradata Enterprise AgentStack is a comprehensive platform designed for the development, deployment, and management of enterprise-level autonomous AI agents that seamlessly connect to reliable data and analytics, aiding businesses in transitioning from experimentation phases to fully operational agentic AI with robust enterprise control. This platform consolidates diverse functionalities to facilitate the entire agent lifecycle; AgentBuilder streamlines the process of creating intelligent agents through both no-code and pro-code tools that are compatible with Teradata Vantage and various open-source frameworks. Furthermore, the Enterprise MCP provides secure, context-rich access to well-governed enterprise data along with tailored prompts that enhance agent intelligence. Meanwhile, AgentEngine ensures scalable agent execution while maintaining consistent memory and reliability across various hybrid environments. Additionally, AgentOps plays a crucial role in centralizing the monitoring, governance, compliance, auditability, and policy enforcement, ensuring that the agents operate within established parameters, which ultimately leads to increased efficiency and adherence to organizational standards. Collectively, these features empower organizations to harness the full potential of autonomous AI in a controlled and efficient manner.

AstroFabric is an advanced AI operating system designed to enhance growth, drive revenue, and streamline digital operations. A variety of specialized AI agents manage different areas such as SEO and online visibility, advertising, outbound pipeline management, competitive analysis, creative processes, lifecycle management, reporting, and site operations, executing comprehensive missions through precise tools. Each operation is conducted under strict budgets, requires approvals for written content, and provides a complete transcript, ensuring that autonomy remains accountable. Users have the option to utilize pre-existing playbooks or create tailored objectives, with operations facilitated through the console, REST API, hosted MCP server, scheduled missions, agent email, or an embeddable chat widget. This flexibility empowers teams to optimize their workflows and achieve their goals efficiently.

Extrieve is an AI orchestration layer for BFSI organizations that need to deploy AI safely inside regulated banking and financial workflows. The platform helps institutions govern how AI works with documents, legacy systems, regulations, approvals, and human reviews. Extrieve is designed to solve the operational gap between AI pilots and production-scale business value by combining AI models, workflow engines, system integrations, security controls, audit trails, monitoring, and regulatory validation. Its orchestration engine supports maker-checker workflows, consent management, DPDP logging, policy enforcement, audit trails, and low-code workflow design. The integration layer connects with banking systems such as FinnOne, Finacle, Flexcube, Temenos, LOS, LMS, KYC, onboarding systems, CRMs, compliance databases, and document repositories. Unified operations capabilities include case management, validation intelligence, exception handling, human-in-the-loop review, governance controls, and risk oversight. Extrieve supports document-heavy banking processes such as identity verification, KYC and KYB review, credit underwriting, income verification, trade finance document scrutiny, service requests, complaints, ReKYC, claims processing, regulatory documentation, reconciliations, and compliance monitoring. The platform supports hybrid cloud, on-premises deployment, multi-tenant architecture, global data residency controls, encryption, SOC 2 compliance, GDPR readiness, and DPDP alignment. By combining AI orchestration, banking integrations, governed execution, document intelligence, human approvals, auditability, and regulated deployment options, Extrieve helps BFSI institutions operationalize AI with control.

UiPath Agentic Orchestration serves as the orchestration framework of the UiPath Platform, facilitating the integration and coordination of AI agents, robotic processes, APIs, workflows, and human involvement to carry out intricate, extended enterprise processes from start to finish with oversight, transparency, and ongoing enhancement. This platform transcends conventional automation by merging generative AI agents with RPA bots and human contributions, all within well-defined workflows, which fosters real-time collaboration, adaptive decision-making, and proactive solutions to challenges throughout both structured and unstructured data environments. Furthermore, it offers comprehensive orchestration, process modeling—including BPMN standards—along with seamless integration with external systems and robust monitoring capabilities, thereby allowing organizations to track operations, handle exceptions, and pursue continuous improvement through data-driven analytics. Enhanced by built-in governance, compliance mechanisms, and analytical tools, Agentic Orchestration streamlines the management of widespread automation while guaranteeing dependable performance. Its innovative approach not only boosts efficiency but also empowers organizations to adapt swiftly to changing market demands and operational challenges.

Break the invisible barriers between systems, apps, and data. Meet the agentic automation platform that makes quick work of your most complex processes. Make getting things done look easy—because it is. Orchestrate your most complex, critical processes across systems and teams, leaving app and data silos in the dust. Drive every process at maximum speed. Set up and apply AI + automation wherever your teams work with simple-to-use tools and expert support. Get peace of mind and automate with AI in any context, no matter how complex, with full security and governance controls. Get right-size support every step of the way. Start with do-it-yourself training, community expertise from 1M+ automation professionals, and a global partner ecosystem.

Onyx serves as a robust AI control platform designed for the discovery, protection, governance, optimization, and evaluation of AI agents and models within an organization. It provides crucial visibility for security, governance, and AI teams into both authorized and unauthorized AI activities across various environments, including SaaS applications, cloud services, endpoints, and code, encompassing aspects such as prompts, responses, and agent behaviors. The AI Security feature enhances the organization's security posture by pinpointing vulnerabilities and implementing real-time safeguards against potential threats and misuse. Meanwhile, AI Governance ensures compliance with security standards and regulatory mandates by offering opt-in coverage and allowing policy controls to be articulated in natural language. Additionally, AI Orchestration streamlines the process of deploying agents and Multi-Cloud Platforms (MCPs), while optimizing for cost, accuracy, and latency. The AI ROI component facilitates the measurement of adoption, the establishment of objectives, and the tracking of results across various departments within the organization. Furthermore, the Onyx Guardian Agent functions as an overseeing AI, perpetually identifying risks and resolving issues throughout the platform, thereby enabling organizations to effectively manage a large number of agents seamlessly. Ultimately, Onyx empowers businesses to harness the full potential of AI while maintaining control and oversight.

Rovo Dev serves as Atlassian's AI coding assistant tailored for software development teams. It streamlines the workflow for developers by enabling them to tackle coding tasks directly from the command line and within various supported development environments. Utilizing contextual awareness of the codebase, it aids in planning and executing modifications, clarifying code functions, generating or refining code, and facilitating pull requests and code reviews. Development teams can seamlessly integrate it with Atlassian's tools, such as Jira and Bitbucket, while also benefiting from compatible integrations with GitHub and various editor tools. This tool is specifically crafted for developers and engineering teams looking for AI-powered support in managing repositories and tracking issues. As Atlassian shifts the standalone experience towards Rovo Dev within Jira, users may find that access and purchasing options are contingent on their current subscription or Atlassian plan. Additionally, the product harnesses Atlassian's cloud capabilities while providing a local command-line interface and supporting IDE workflows, ensuring a versatile experience for its users. Overall, Rovo Dev represents a significant advancement in enhancing productivity for software development teams.

Microsoft Copilot Studio is a powerful and flexible platform designed to help users create, customize, and manage AI-driven agents tailored to meet diverse business needs. Combining the simplicity of low-code development with the advanced capabilities of generative AI, the platform enables users to design intelligent agents that can access and utilize internal knowledge bases, perform complex actions through a wide range of data connectors, and operate autonomously to streamline processes and improve productivity. These AI agents can be seamlessly integrated into existing workflows and deployed across various channels, including Microsoft 365 applications, internal websites, and mobile apps, ensuring they adapt to the unique operational environments of any organization. Furthermore, Copilot Studio includes a robust suite of governance and management tools, allowing IT teams to maintain centralized control over agent usage, monitor performance with detailed analytics, and enforce security policies. This combination of ease of use, advanced functionality, and comprehensive governance makes Microsoft Copilot Studio an invaluable tool for organizations looking to leverage AI to transform their business operations.

Airia’s enterprise AI orchestration platform effortlessly connects with current systems and data sources while providing a no-code agent builder that allows for quick prototyping. It features pre-built connectors for cohesive data integration, along with intelligent AI operations that enhance both performance and cost efficiency through smart routing and centralized lifecycle management. The platform also emphasizes enterprise-grade security and governance, including comprehensive audit capabilities and responsible AI guardrails. Being model-agnostic and vendor-neutral, it allows for adaptable deployment options across shared or dedicated cloud, private cloud, and on-premises setups. This flexibility empowers both technical and non-technical users to construct, implement, and oversee secure AI agents on a large scale without the need for intricate installations or migrations. With its user-friendly interface and cohesive platform, Airia revolutionizes workflows across various departments, including engineering, IT, finance, legal, marketing, sales, and support, enabling organizations to confidently and compliantly advance their AI initiatives. Ultimately, this comprehensive solution positions businesses to harness the full potential of AI while streamlining operations and ensuring security.

AgentFlow is an innovative AI platform designed to streamline workflows specifically for the finance and insurance sectors. Within this platform, there are various modular AI agents, including Document AI, Decision AI, and Report AI, each focusing on key phases of regulated processes such as triage, diligence, decision-making, and reporting. AgentFlow effectively integrates multiple AI agents alongside human supervisors and external systems, facilitating a significant transformation in workflow management. With self-learning functionalities, these AI agents continuously enhance their performance based on input from subject matter experts and ensure transparency through explainability features that clarify the rationale behind AI-generated decisions. Every action taken and output produced is fully traceable, guaranteeing adherence to the rigorous compliance requirements of regulated industries. The primary objective of AgentFlow is to encapsulate and formalize implicit internal knowledge, thus reliably enhancing high-leverage workflows while safeguarding the expertise that spans across different generations of talent. This focus on knowledge preservation not only optimizes operational efficiency but also fosters a culture of continuous improvement and adaptability within organizations.

Thread AI's Lemma is an advanced AI orchestration platform designed for organizations to seamlessly construct, connect, and oversee secure, scalable AI-driven workflows and agents, thereby facilitating the automation of intricate, critical processes without the need to rebuild existing infrastructure. The platform offers user-friendly interfaces, low-code components, software development kits (SDKs), and application programming interfaces (APIs) tailored for engineering teams, along with centralized monitoring and traceability for all workflows, allowing users to easily create reusable AI “Workers” that blend models, functions, and data from both structured and unstructured sources. With a strong focus on security and compliance, Lemma implements enterprise-grade protections including AES-256 encryption for data at rest, TLS for data in transit, governance controls, and customizable workflow guardrails to ensure sensitive data is managed appropriately, while also accommodating both cloud and on-premise deployments alongside automatic vulnerability assessments. Furthermore, the platform supports human-in-the-loop monitoring, offers dynamic and non-deterministic execution pathways, ensures fallback resilience, and enhances overall observability, making it a comprehensive solution for modern AI application needs. This multifaceted approach not only streamlines the development process but also enhances the overall reliability and security of AI implementations.

Agent Control represents a groundbreaking open-source framework designed to manage the behavior of AI agents on a large scale, setting a new benchmark for governance in this domain. It addresses the issue of disjointed and hardcoded checks by providing teams with a unified governance layer that enforces regulations at each step, all managed from a single control interface that can be updated dynamically without altering the agent's underlying code. Developers can easily designate any function as governable by applying the control() decorator, thereby transforming key decision points within an agent into independently regulated control points, each equipped with its own governance policies. When a decorated function runs, Agent Control assesses the input or output against the prevailing policy and generates a response that could be to deny, steer, warn, log, or allow the action. If a denial occurs, the SDK triggers a ControlViolationError, preventing any unsafe actions from being executed. This separation of policies from the actual code empowers developers to strategically position control hooks, while policy teams determine the enforcement specifics of those hooks, ensuring a collaborative approach to governance. The flexibility and robustness of Agent Control make it an invaluable tool for organizations looking to standardize AI agent governance effectively.

Blitzy is an innovative platform powered by artificial intelligence that aims to enhance the speed of enterprise software development by automating as much as 80% of the entire process. Employing a network of over 3,000 specialized AI agents, Blitzy is capable of thinking, planning, building, and validating code according to specified technical requirements. The platform can handle massive codebases of up to 100 million lines seamlessly, ensuring comprehensive awareness of projects and resolving issues related to fragmentation. Additionally, Blitzy's AI agents work together to create detailed technical documentation, outline changes in simple language, and generate high-quality, enterprise-level code at scale, capable of delivering as much as 3 million lines in a single execution, complete with integrated quality assurance measures. It is versatile enough to support both the development of new products and enhancements to existing ones, enabling users to easily link their code repositories, access the latest documentation, and implement additional features or code refactoring as needed. This robust functionality positions Blitzy as a transformative tool for organizations seeking to streamline their software development efforts.

Klique is an enterprise AI infrastructure management platform designed to help organizations deploy, govern, and optimize artificial intelligence workloads across multiple environments. The software provides a unified control plane for managing large language models, autonomous AI agents, GPU resources, and machine learning applications. Its intelligent routing engine automatically directs requests to suitable models based on organizational policies, performance requirements, response latency, and operating costs. Klique supports internally hosted models, open-source models, and external AI services from providers such as OpenAI and Anthropic. Its governance engine provides centralized authentication, role-based access controls, token budgets, usage quotas, audit trails, and detailed cost attribution. GPU orchestration capabilities enable resource pooling, workload prioritization, fractional GPU allocation, and automated scheduling across Kubernetes clusters and cloud infrastructure. The platform also provides managed development environments, model deployment tools, experiment tracking, and reusable workflows for AI development teams. Integrations with Claude Code, Codex, ChatGPT, and other agentic applications allow organizations to provide governed access to AI tools and computing resources. Klique supports on-premises, public cloud, hybrid, and air-gapped deployments, enabling enterprises to manage AI infrastructure while maintaining centralized security policies and operational visibility.

Oracle AI Agent Studio is an all-encompassing platform integrated within the Oracle Fusion Cloud Applications Suite, designed for customers and partners to develop, enhance, deploy, and oversee AI agents and their teams throughout the organization. Offered at no extra charge, this studio features user-friendly tools such as advanced testing capabilities, thorough validation processes, and inherent security measures, which support the tailoring of AI agents to meet intricate business demands and boost efficiency. Among its notable attributes are a library of agent templates with readily available models and natural language prompts tailored for diverse business situations, the orchestration of agent teams to synchronize efforts between multiple agents and human collaborators on complex projects, as well as agent extensibility that enables the customization of more than 50 pre-packaged Oracle Fusion Applications AI agents by incorporating documents, tools, prompts, or APIs to fulfill specific industry and business needs. Furthermore, the platform not only simplifies the creation of AI solutions but also empowers organizations to adapt swiftly to evolving market conditions and customer expectations.

Giselle is an innovative software platform that enables the creation of dynamic AI Agents using a user-friendly, node-based interface, which facilitates the integration of multiple LLMs and data sources to collaborate seamlessly, similar to a team working together. These AI Agents not only automate critical tasks such as conducting market research, reviewing pull requests, and managing documentation but also allow human team members to concentrate on more creative aspects of problem-solving. By providing a visual method to connect nodes that represent various AI capabilities or data streams, Giselle simplifies the process of designing and maintaining even the most complex workflows, paralleling how game engines convert intricate processes into easily navigable systems. This platform also introduces a sophisticated multi-agent orchestration that continuously enhances your documentation and accelerates product development while ensuring compatibility with GitHub, thereby optimizing your everyday engineering practices. Ultimately, Giselle empowers teams to leverage AI in a way that transforms their operational efficiency and creativity.

ByteFlow serves as an AI-driven orchestration and automation solution designed to link various systems, streamline workflows, and implement AI agents in practical settings, regardless of API availability. As a versatile orchestration layer, ByteFlow integrates effortlessly with a wide range of systems, including CRM, HRMS, ERP, POS, government platforms, telephony solutions, and even older applications. It empowers companies, SaaS providers, and developers to transcend standalone automations and cultivate comprehensive, intelligent processes. What sets ByteFlow apart includes: Agentic AI modules such as VoiceFlow, DocumentFlow, BrowserFlow, and ContentFlow, which can autonomously manage real-world tasks. An API ↔️ MCP converter that facilitates direct communication between AI agents and various systems. A General Process Automation (GPA) engine designed for automating platforms that do not provide APIs. With ByteFlow, organizations can consolidate their automation and AI efforts within a single platform, transforming disjointed systems into cohesive, intelligent operations that can expand and adapt. This capability not only enhances efficiency but also enables teams to respond swiftly to changing business demands.

Teneo.AI is a market-leading agentic AI platform built to fully automate enterprise customer service. It delivers intelligent AI agents that manage voice and digital interactions with up to 99% resolution accuracy. Designed for speed, Teneo enables organizations to launch pilots in weeks and reach production rapidly. The platform supports omnichannel engagement across voice, chat, apps, and email from a single environment. Voice AI capabilities allow enterprises to handle millions of interactions every month without service disruption. Teneo integrates easily with existing contact center and enterprise systems through open APIs. Built-in analytics provide actionable insights to continuously optimize performance. Enterprise-grade security and governance ensure compliance with internal and regulatory requirements. Organizations achieve significant cost savings while improving first-contact resolution and CSAT. Teneo helps enterprises progress from automation to fully agentless customer service operations.

ServiceNow's AI Agents are self-sufficient systems integrated into the Now Platform, aimed at executing repetitive tasks that were once managed by human workers. These agents engage with their surroundings to gather information, make informed decisions, and carry out tasks, leading to improved efficiency over time. By utilizing specialized large language models along with a powerful reasoning engine, they gain a comprehensive understanding of various business contexts, which fosters ongoing enhancements in performance. Functioning natively across diverse workflows and data platforms, AI Agents promote complete automation, thereby increasing team productivity by coordinating workflows, integrations, and actions within the organization. Companies have the option to implement pre-existing AI agents or create personalized ones to meet their unique requirements, all while operating smoothly on the Now Platform. This seamless integration not only streamlines processes but also enables employees to devote their attention to more strategic initiatives by relieving them of mundane tasks, ultimately driving innovation and growth within the organization. As a result, the implementation of AI Agents represents a significant step towards transforming workplace efficiency.

Runx is a command-line and open-source runtime tool designed for the creation, discovery, and execution of governed skills tailored for AI agents. It allows developers to establish defined workflows, assign specific permissions and credentials, and execute skills on their own provider accounts locally. The system is capable of pausing runs for necessary approvals or inputs, and it retains a signed receipt that can be reviewed and validated. Skills can be sourced from a public registry and integrated with various compatible agents, including Claude Code, Cursor, and Codex. Additionally, an optional hosted service can facilitate managed OAuth connections, scoped grants, API-based run submissions and inspections, handling of approvals, and notarization of receipts. The command-line interface can function in both local and self-hosted setups. Runx is specifically designed for developers and platform teams focused on building and managing AI-agent workflows that require clear authority boundaries along with auditable execution processes. Furthermore, its capabilities support enhanced collaboration and security measures for the development of AI-driven solutions.

Flowise is an open-source agentic development platform designed to help teams build AI agents and LLM-powered applications using a visual workflow interface. The platform allows users to design intelligent workflows through modular components that can be combined to create chatbots, automation systems, and autonomous AI agents. Developers can build both single-agent chat assistants and multi-agent systems that collaborate to complete complex tasks. Flowise integrates with more than 100 large language models, embedding models, and vector databases, providing flexibility in selecting AI technologies. The platform also supports retrieval-augmented generation (RAG), enabling applications to retrieve knowledge from documents and data sources. Built-in features such as human-in-the-loop workflows allow users to review and validate agent actions before execution. Observability tools provide detailed execution traces and compatibility with monitoring systems like Prometheus and OpenTelemetry. Developers can integrate Flowise with existing applications using APIs, SDKs, or embedded chat widgets. The platform supports both cloud and on-premises deployment environments for enterprise scalability. By providing visual tools and flexible integrations, Flowise accelerates the development and deployment of advanced AI-driven applications.

Agent Builder is a component of OpenAI’s suite designed for creating agentic applications, which are systems that leverage large language models to autonomously carry out multi-step tasks while incorporating governance, tool integration, memory, orchestration, and observability features. This platform provides a flexible collection of components—such as models, tools, memory/state, guardrails, and workflow orchestration—which developers can piece together to create agents that determine the appropriate moments to utilize a tool, take action, or pause and transfer control. Additionally, OpenAI has introduced a new Responses API that merges chat functions with integrated tool usage, alongside an Agents SDK available in Python and JS/TS that simplifies the control loop, enforces guardrails (validations on inputs and outputs), manages agent handoffs, oversees session management, and tracks agent activities. Furthermore, agents can be enhanced with various built-in tools, including web search, file search, or computer functionalities, as well as custom function-calling tools, allowing for a diverse range of operational capabilities. Overall, this comprehensive ecosystem empowers developers to craft sophisticated applications that can adapt and respond to user needs with remarkable efficiency.

Instill Core serves as a comprehensive AI infrastructure solution that effectively handles data, model, and pipeline orchestration, making the development of AI-centric applications more efficient. Users can easily access it through Instill Cloud or opt for self-hosting via the instill-core repository on GitHub. The features of Instill Core comprise: Instill VDP: A highly adaptable Versatile Data Pipeline (VDP) that addresses the complexities of ETL for unstructured data, enabling effective pipeline orchestration. Instill Model: An MLOps/LLMOps platform that guarantees smooth model serving, fine-tuning, and continuous monitoring to achieve peak performance with unstructured data ETL. Instill Artifact: A tool that streamlines data orchestration for a cohesive representation of unstructured data. With its ability to simplify the construction and oversight of intricate AI workflows, Instill Core proves to be essential for developers and data scientists who are harnessing the power of AI technologies. Consequently, it empowers users to innovate and implement AI solutions more effectively.

Enso, our decision intelligence platform, streamlines the creation, orchestration, and management of decision agents on a large scale. It includes a variety of prebuilt decision agents that can be easily combined to develop solutions for decision intelligence, which enhance over time through the incorporation of additional data, insights, and decisions. These decision agents function as intelligent digital assistants capable of being trained to mimic human decision-making abilities. They can evolve into specialists, continuously learning from their past decisions and the feedback they obtain, leading to improved decision-making across various processes. The Enso Canvas serves as a user-friendly visual studio that allows for straightforward building, training, orchestrating, and deploying of decision agents within your solutions. With its exceptional extensibility, Canvas empowers you to integrate and deploy decision agents utilizing your own data and models, ensuring they fit seamlessly into your workflows. By leveraging these tools, organizations can enhance their operational efficiency and adaptability in a rapidly changing environment.

FlowRunner stands out as a visual workflow automation platform that integrates native AI agent orchestration, allowing agents to execute workflows independently while pausing for necessary human input. What sets FlowRunner apart is its unique approach to oversight; while most platforms treat approval as a workflow step, FlowRunner empowers agents to reach out to humans as callable tools during execution. It effectively gathers the necessary context and options, then communicates with a designated individual via email, Slack, WhatsApp, or phone, resuming the workflow once a decision is made. Notably, a run can remain on hold for up to a year, ensuring that time-sensitive decisions, like those requiring three days, do not have a deadline. In addition to this, features like audit trails, role-based access control (RBAC), and service level agreement (SLA) tracking are available starting from the mid-tier package, rather than being confined to custom enterprise agreements, and a business associate agreement (BAA) can also be acquired. Every subscription level allows for unlimited users, unlimited workflows, and full access to the integration catalog, with no limitations based on user count or connectors. Billing is structured around the number of workflow runs rather than the individual action steps taken, ensuring a transparent pricing model. Agents are also able to utilize their own AI provider keys, with no additional charges for inference. Furthermore, users can choose between cloud-hosted and self-hosted options, providing flexibility to fit various operational needs.