Alternatives to XOPS

Pipefy is a low-code Business Orchestration and Automation Technologies (BOAT) platform designed to act as a modern middleware layer for the enterprise stack. Rather than replacing existing Systems of Record (SORs) like SAP, Oracle, or Salesforce, Pipefy wraps them in an agile orchestration layer. This architecture allows technical teams to modernize legacy operations and extend the life of core systems without the risks associated with "rip and replace" projects. Pipefy provides the infrastructure to sanitize data inputs, manage complex business logic, and orchestrate API calls between fragmented endpoints. Technical & Architectural Highlights: • Adaptive Governance Framework: Pipefy solves the "Shadow IT" problem by establishing IT-sanctioned "Safe Zones." Business users can build workflows within these guardrails, while IT retains control over critical data, integrations, and permissions via a centralized console. • Agentic AI Engine (BYOLLM): The platform features a governable AI Agent Studio. Unlike "black box" solutions, Pipefy supports a Bring Your Own LLM approach, allowing enterprises to integrate preferred models (Azure OpenAI, AWS Bedrock) securely to automate document analysis (OCR) and decision-making. • Robust Connectivity: Built with an API-first philosophy, Pipefy offers a GraphQL API, Webhooks, and enterprise-grade iPaaS capabilities to ensure seamless data interoperability across the stack. • Security & Compliance: Engineered for regulated industries, the platform is ISO 27001, ISO 27701, and SOC2 Type II certified, supporting compliance with GDPR and SOX standards. Pipefy empowers IT leaders to eliminate technical debt and clear development backlogs by safely delegating low-complexity builds to business units.

Nauta serves as a global logistics orchestration platform powered by artificial intelligence, effectively linking various data sources involved in the movement of containers within the international trade sector. It automates and consolidates workflows by integrating shipment details, operational metrics, and logistics frameworks, which facilitates real-time updates and actionable intelligence. Through the use of AI, it significantly improves operational transparency, accelerates decision-making processes, and aids in enhancing profit margins throughout import and export operations. Furthermore, Nauta’s ability to integrate across intricate logistics networks streamlines the tracking and coordination of containers throughout their entire lifecycle, from the vendor stage to the final destination, thereby ensuring a seamless and dynamic consolidation across different systems. This innovative approach not only boosts efficiency but also empowers stakeholders to make informed decisions based on comprehensive data analysis.

Tessera is an advanced AI solution designed for transforming enterprise resource planning (ERP), significantly reducing the time needed for modernization from years to mere weeks through a governed, multi-agent approach that integrates ERP with connected systems. With a foundation built on extensive training across numerous enterprise frameworks and a track record of success in large-scale transformation initiatives, Tessera enhances data harmonization, remedies and optimizes essential coding, and ensures that core business functions remain secure, enabling teams to achieve results on the first attempt. This tool empowers enterprise leaders to swiftly and securely modernize intricate systems, thereby boosting efficiency while maintaining the integrity of core operations. Additionally, Tessera facilitates accelerated migration to SAP S/4HANA, minimizing risks and enhancing data quality and harmonization for reliable decision-making and compliance. It also offers orchestration capabilities across various systems, including ERP, CRM, and finance, while ensuring continuous operation that protects vital functions during transitions. By leveraging Tessera, organizations can navigate the complexities of modernization with confidence and clarity, setting the stage for sustained growth and innovation.

Warden Protocol is a comprehensive, intent-focused Layer-1 blockchain constructed on the Cosmos SDK, designed to empower both developers and users in the creation, interaction, and governance of AI-driven decentralized applications (dApps), autonomous AI agents, and intelligent workflows that function across various blockchain networks with cryptographic validation and interoperability. This innovative platform seeks to connect artificial intelligence with blockchain technology by offering a robust infrastructure for the on-chain execution of verifiable AI, facilitating smart contracts that integrate safe, provably accurate AI model outputs and intent-driven transactions, all while maintaining decentralized trust and composability across different networks. Central to Warden is the introduction of the Intents concept, which encapsulates the transaction goals of users, interpreted and executed on-chain, thus allowing for intricate multi-step processes such as cross-chain interactions, automated trading, and agent-oriented logic without being confined by rigid predefined policies. Moreover, Warden Protocol is designed to enhance user experience by streamlining the development process, ensuring that even those with limited technical skills can harness the power of AI and blockchain technology effectively.

RelationalAI represents a cutting-edge database system tailored for advanced data applications that leverage relational knowledge graphs. By focusing on data-centric application design, it effectively merges data with logic into modular models. These intelligent applications possess the capability to comprehend and utilize every relationship present within a model. The system employs a knowledge graph framework that allows for the articulation of knowledge in the form of executable models. These models offer the benefit of being easily expanded through declarative programs that are accessible and understandable to humans. With RelationalAI's versatile and expressive declarative language, developers can achieve a remarkable reduction in code size, ranging from 10 to 100 times less. This accelerates the development of applications and enhances their quality by involving non-technical users in the creation process while automating complex programming tasks. By leveraging the adaptable graph data model, users can build a robust data-centric architecture. Additionally, the integration of models paves the way for the exploration of new relationships, effectively dismantling barriers that exist between various applications. Ultimately, this innovative approach not only streamlines development but also fosters collaboration across different domains.

We make it easy and intuitively simple to submit and track any procurement request. We provide a clear view of all contract commitments so that budget owners can make informed decisions and get approvals quickly. Automated pre-checks ensure that stakeholder reviews are quick and consistent. We know that processes are always changing. You can now easily add new suppliers and achieve quality. You can easily streamline procurement approvals, assessments, reviews, and other processes across all systems and teams. You can access historical data to determine which supplier is best suited for your problem. Translate information into intel for scope. Good integration equals a great user experience. ORO integrates seamlessly with popular solutions you already use so you don’t have to fix anything that isn’t broken.

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.

The LocusONE platform serves as an advanced automation solution that leverages data science to manage and coordinate fleets of autonomous mobile robots (AMRs) across an entire enterprise, all through a unified interface. This innovative system facilitates the simultaneous operation of various AMR types within a facility, enabling tasks such as picking, put-away, replenishment, point-to-point transport, and bulk movement, even in expansive environments exceeding one million square feet, accommodating potentially thousands of robots collaborating seamlessly. Additionally, LocusONE features the "LocusHub" analytics suite, which provides real-time dashboards alongside more than twenty comprehensive reports that assist with labor management, predictive insights on work completion, tracking of order pools, mission assessment, performance evaluation, and actionable intelligence for operational enhancement. Its ability to rapidly integrate with existing warehouse management systems and automation technologies, including sortation and packaging systems, further enhances its adaptability and efficiency in various operational settings. The platform's robust capabilities make it an essential tool for modern warehousing and logistics management.

Qoris AI transforms enterprise operations by offering a coordinated suite of intelligent agents—Sales, Knowledge, Service, and the upcoming Thinking Agent™—that automate sales, support, and internal knowledge tasks in one integrated platform. Instead of juggling disconnected chatbots, automation tools, and support systems, Qoris acts as a unified OS where agents share context, data, and insights across every touchpoint. Its Sales Agent converts traffic and books meetings 24/7, while the Knowledge Agent turns PDFs, SOPs, and internal guides into instant, cited answers for employees. The Service Agent empowers organizations to automate customer support across multiple channels, improving response times and reducing support costs. The Thinking Agent™, arriving in Q1 2026, elevates the system by turning a simple business goal (like reducing churn or boosting conversions) into KPIs, strategies, and multi-agent execution. Qoris AI is designed for fast deployment with no developer effort required, making it accessible to both startups and large enterprises. With secure infrastructure, shared data layers, and real-time analytics, businesses can scale their automations without complexity or vendor lock-in. The result is a single AI foundation that aligns teams, lowers operational overhead, and accelerates revenue growth.

The Actian Data Intelligence Platform is a cloud-native, AI-ready solution aimed at revolutionizing the way organizations discover, comprehend, manage, and trust their data in intricate environments. By consolidating features such as data cataloging, metadata oversight, governance, lineage tracking, observability, and semantic context into a cohesive platform, it establishes a centralized and reliable layer for enterprise data management. Leveraging a federated knowledge graph, the platform fosters intelligent connections between data assets, which allows it to inherently grasp context, yield pertinent search outcomes, and suggest optimal data utilization. This innovative strategy empowers both technical and business users to efficiently locate and utilize trustworthy data, thereby enhancing decision-making processes and boosting operational efficiency. Additionally, the platform performs continuous monitoring of data integrity, enforces governance protocols, and produces automated trust indicators, ensuring that data remains accurate, compliant, and primed for analytics along with AI applications. As a result, organizations can confidently navigate their data landscapes and harness the full potential of their information assets.

eRAG: The Power of ChatGPT with your Operational Data eRAG combines the power of real-time operational data with ChatGPT’s amazing user experience. With eRAG, you can get accurate, consistent answers and can carry out intuitive data exploration with your operational structured data. With its sophisticated semantic reasoning capabilities, eRAG lets you respond proactively to business as it happens with the confidence of knowing your decisions are grounded in concrete enterprise operational data. eRAG gives you immediate answers visualized as graphs, tables, and summaries. It gives you insights and explores additional angles. It even uses AI agents to suggest actions, based on situational data analysis. eRAG gives everyone in your organization—from IT leaders to frontline staff—the ability to easily engage with enterprise data in natural language, gain accurate insights instantly, and trigger actions when they matter most. With operational data at your fingertips, now is the time to change the way you work with data. With eRAG, you can query any number of live data sources without thinking about where the data is or how it’s stored. There’s no data prep, no aggregation, and no waiting. Just connect your data sources, and eRAG handles the rest. Delivered as a SaaS service, you can achieve fast time-to-value, with powerful insights at your fingertips.

HappyRobot is an innovative operating system rooted in artificial intelligence, crafted to facilitate autonomous operations by coordinating customizable "AI workers" that comprehend your business, make smart decisions, and respond instantly. It is specifically designed to enhance enterprise workflows across various sectors such as logistics, supply chain, retail, and services, empowering you to develop AI agents capable of conversing, typing, reasoning, negotiating, scheduling tasks, processing documents, browsing systems, and escalating issues when necessary. These AI workers handle tasks through multiple communication channels, including voice calls, emails, and messages, leveraging sophisticated reasoning through large language models that are seamlessly integrated with your tools and workflows via APIs, webhooks, or browser agents. You can oversee this AI workforce from a unified "control tower," allowing you to deploy, monitor, and refine workflows in natural language or through user-friendly interfaces, providing clear insights into every task and decision made by the AI. Moreover, with the continuous evolution of AI capabilities, HappyRobot ensures your operations remain cutting-edge and adaptable to the ever-changing business landscape.

BlueCat Gateway provides a flexible automation layer that unifies DNS operations and integrates seamlessly with the broader Integrity platform. Its Python-based framework gives NetOps, CloudOps, and DevOps teams the freedom to automate everything from routine provisioning to highly complex workflows. Gateway connects easily to platforms like ServiceNow, enabling compliant self-service IP provisioning based on predefined logic and organizational policies. Through Terraform integration and a broad catalog of applications, teams can deeply customize their environments without being locked into proprietary tools. The platform’s intuitive UI allows authorized users to build, edit, and reuse automation workflows quickly, accelerating iteration while reducing operational overhead. Gateway enhances visibility by synchronizing cloud-based resources and providing detailed logs, reports, and health metrics. Its adaptive ecosystem—including open-source scripts from the BlueCat Labs GitHub—gives organizations endless customization potential. Altogether, Gateway empowers IT teams to automate faster, operate more efficiently, and deliver consistent network services across distributed environments.

Identify potential leads that are ready to make a purchase by exploring relevant topics and keywords online. Gain access to over 65 million direct dial numbers and more than 150 million verified email addresses. Customize your account landscape by utilizing over 300 attributes, insights, and recent activities for precision targeting. Implement focused display and social media advertising campaigns directed at prospective clients based on their job titles, management levels, and departments within companies that demonstrate buying intent. Aim for high-value accounts and decision-makers in your target market to maximize your outreach. Initiate marketing efforts using top-notch buyer intent signals, industry insights, and technographic information. Seamlessly integrate with your CRM and marketing automation tools for effective cross-platform targeting. Encourage website visitors to engage and convert into leads, whether through initiating conversations or completing forms. By leveraging real-time insights and analyzing on-page behavior, you can effectively engage, nurture, and convert a greater number of website visitors into valuable leads. This strategic approach ensures that your marketing efforts are not only efficient but also highly effective in driving conversions.

Adapt is an advanced AI-driven platform built to act as a unified digital workspace for modern teams, enabling seamless interaction with multiple business tools. It connects to a wide range of systems, including analytics platforms, CRMs, and internal databases, allowing users to retrieve insights instantly. Through simple natural language queries, teams can access data, generate reports, and automate processes without needing technical expertise. The platform intelligently gathers context from integrated tools and routes requests to the most suitable AI models for accurate results. Adapt also empowers organizations to create internal applications and dashboards that consolidate key metrics in one place. By operating directly within Slack or through its web interface, it fits naturally into existing workflows and reduces friction in daily operations. Businesses benefit from faster decision-making, improved collaboration, and fewer interruptions to technical teams. Additionally, Adapt minimizes repetitive data requests by centralizing knowledge access across departments. Its automation capabilities help teams execute tasks more efficiently, from marketing analytics to engineering workflows. With enterprise-grade security, including encryption, compliance certifications, and strict data controls, Adapt prioritizes data privacy and trust.

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.

Barndoor serves as a robust management layer for data and access, ensuring that artificial intelligence systems interact securely with enterprise data and infrastructure. Acting as a unified control center, it oversees AI agents and applications, empowering organizations to set policies, automatically enforce access rules, and retain comprehensive oversight of AI tool operations within business frameworks. Moving beyond traditional identity-based permissions, Barndoor employs context-aware governance, which allows administrators to dictate the allowed actions of an AI agent by considering variables such as the user in charge of the agent, the system being accessed, the nature of the data, and the task at hand. This system assesses each AI request in real time to apply policies before actions are undertaken, thereby thwarting unsafe or unauthorized operations from affecting internal systems or altering sensitive data. Furthermore, by integrating such a nuanced approach to governance, organizations can enhance both security and compliance, ultimately fostering a more trustworthy AI ecosystem.

Denki is an innovative platform driven by AI, aimed at streamlining internal auditing and compliance efforts for organizations, especially those in the public sector that adhere to stringent financial regulations. Acting as a software interface, it seamlessly integrates with various enterprise systems like ERP solutions, audit applications, and workflow management tools, enabling internal audit teams to shift away from labor-intensive, manual processes. By eliminating the need for spreadsheets, scattered screenshots, and disjointed documentation, Denki leverages artificial intelligence to automate integral phases of the audit workflow, such as control mapping, testing protocols, conducting walkthrough interviews, and gathering necessary supporting evidence. It consistently collects data from connected business systems, scrutinizes financial and operational records, and autonomously produces audit documentation that auditors can efficiently review and validate. Furthermore, this approach not only enhances accuracy but also significantly reduces the time required to complete audits, allowing teams to focus on strategic analysis rather than routine tasks.

Introducing Fermi Dev, an innovative orchestration platform that serves as the "operational brain" of contemporary businesses. By integrating diverse tools, data sources, and workflows, Fermi Dev crafts a cohesive business model, simplifying intricate and disjointed operations into efficient, intelligent, and automated systems. This AI-native platform is tailored for teams looking to transform complex business processes that span multiple tools into powerful, AI-driven automations without the need for extensive engineering resources. Fermi Dev effectively positions itself above an organization's technological framework, merging data, workflows, and AI agents into a singular, cohesive operational structure that enhances overall efficiency and productivity. Its ability to streamline operations can significantly reduce time spent on manual tasks, enabling teams to focus on innovation and strategic initiatives.

Apollo GraphOS offers an end-to-end solution for organizations adopting GraphQL federation and API unification. It provides a managed platform where teams can design, test, and deploy a supergraph that spans countless services. With Apollo Connectors, REST APIs can be effortlessly incorporated, enabling faster modernization without rewriting critical backend systems. The GraphOS Router delivers exceptional performance through multithreading, caching, and OpenTelemetry-powered insights. It also supports real-time subscriptions, allowing applications to scale live data delivery to millions of users. Centralized policy enforcement makes it possible to secure data at the field level and integrate existing identity frameworks. GraphOS Studio completes the ecosystem with tools for schema governance, collaboration, and deployment workflows. Whether hosted in the cloud or deployed in hybrid environments, GraphOS gives organizations the control and agility needed to orchestrate APIs at scale.

BatchMan is an established software solution specializing in Workload Automation and Job Scheduling, boasting over two decades of industry expertise. It allows users to automate and supervise business operations for both SAP and non-SAP applications from a unified control center, efficiently managing various background jobs while seamlessly interfacing with SAP Standard systems. This capability facilitates centralized oversight and management of IT functions and other processes, whether they are hybrid, on-premise, or cloud-based. What sets BatchMan WLA apart? • Comprehensive planning, oversight, and monitoring of processes across different systems (both SAP and non-SAP) • Built-in automatic recovery options and alert notifications • Features for file backup and switchover in the event of maintenance needs or failures • Fully integrated process documentation for easy reference • Detailed change history and acknowledgment of errors • Robust options for reporting and executing mass modifications • Visual modeling tools for crafting process chains • Certified for SAP S/4HANA, ensuring compatibility and reliability. In addition, BatchMan’s user-friendly interface enhances accessibility for users at all levels, making it an excellent choice for organizations seeking efficient process management solutions.

Kagent is a versatile, open-source framework specifically designed for cloud-native AI agents, allowing teams to construct, deploy, and operate autonomous agents within Kubernetes clusters to streamline complex operational processes, troubleshoot cloud-native infrastructures, and oversee workloads with minimal human oversight. This framework empowers DevOps and platform engineers to develop intelligent agents capable of comprehending natural language, planning strategically, reasoning effectively, and executing a series of actions across Kubernetes environments by utilizing integrated tools and Model Context Protocol (MCP)-compatible integrations for various functions, including metric queries, pod log displays, resource management, and service mesh interactions. Additionally, Kagent facilitates communication between agents to orchestrate intricate workflows and includes observability features that enable teams to track and assess agent performance and behavior. Furthermore, its compatibility with multiple model providers, such as OpenAI and Anthropic, enhances its versatility and adaptability within diverse operational contexts.

Agent5i is a comprehensive AI platform tailored for enterprises, enabling organizations to effectively implement and expand autonomous AI agents and workflows within practical business settings. This platform integrates planning, intelligence, governance, and systems integration into a cohesive solution that converts business objectives into structured, intelligent workflows that function consistently and in compliance with regulations across various departments. With its semantic architecture, Agent5i guarantees that all agents and workflows uniformly understand business rules, data, and constraints, thereby minimizing uncertainty and facilitating dependable automation. Spanning the entire process from initial planning to design, orchestration, deployment, monitoring, and ongoing optimization, Agent5i ensures that business ambitions are transformed into auditable workflows that are enhanced with contextual domain knowledge, regulatory requirements, cost clarity, and mechanisms for human oversight. By fostering seamless collaboration, it empowers organizations to achieve their strategic goals more efficiently.

The Robot Operating System (ROS) stands as an open-source framework comprising various software libraries and tools aimed at facilitating the development of robotic applications. It encompasses essential operating system services such as hardware abstraction, low-level device management, common functionality implementations, inter-process message-passing, and effective package management. ROS equips developers with tools and libraries that streamline the processes of acquiring, building, coding, and executing applications across a network of computers. Central to ROS is its message-passing framework, often referred to as "middleware" or "plumbing," which oversees communication among distributed nodes using an anonymous publish/subscribe model. This communication infrastructure is vital for the creation of innovative robotic applications as well as any software that engages with hardware components. Acting as a meta-operating system for robots, ROS integrates hardware abstraction, device drivers, libraries, visualizers, message-passing, and package management into one cohesive platform. Moreover, it operates under a permissive open-source BSD license, encouraging collaborative enhancements and widespread utilization in the robotics community. As such, ROS continues to play a pivotal role in advancing robotic technology and fostering innovation across various sectors.

NewgenONE is an AI-first platform that brings together task automation, complex content-centric applications, and intelligent workflow orchestration. Connect all your systems and devices into one unified ecosystem that delivers efficient, personalized experiences at scale. With its native low-code framework, NewgenONE enables rapid application development, strong security, and built-in governance. Automate thousands of enterprise processes and deliver innovation at the speed your business demands.

ManageMy operates as a digital insurance platform aimed at assisting insurance carriers in upgrading their operations, enhancing customer interactions, and streamlining policy workflows while allowing them to retain their existing core systems. It serves as a comprehensive "deep front-end" interface that integrates and manages various backend systems, including policy administration, billing, claims management, and external tools, to deliver a cohesive digital experience for agents, clients, and internal departments. By utilizing this orchestration layer, insurers can consolidate their data, automate processes, and develop digital customer journeys that encompass the full insurance lifecycle, from quoting and purchasing policies to managing accounts and handling claims. Furthermore, the platform encompasses modules that cater to essential insurance functions such as sales enablement, policy servicing, and claims management. These interconnected modules collaborate to expedite the quoting process, enhance customer engagement, and minimize operational delays through customizable automation, ultimately leading to a more efficient and responsive insurance environment. The result is a seamless integration of technology that significantly benefits both insurers and their clients alike.

OpenAI Frontier is an innovative platform designed for enterprises that facilitates the creation, deployment, management, and orchestration of numerous AI agents capable of executing practical tasks within established systems, workflows, and data environments. This unified framework enables organizations to seamlessly integrate AI agents, whether developed by OpenAI or external parties, with their internal tools such as CRM systems, data warehouses, and ticketing applications, ensuring that these agents operate with a shared context, permissions, memory, and oversight to effectively handle business-critical tasks. Frontier aims to transition AI agents from isolated experimental phases into fully operational production environments by offering features such as shared business context, governance controls, streamlined onboarding processes, observability, and secure access boundaries. In doing so, it empowers companies to centralize and expand their intelligent automation capabilities in a manner analogous to how human resources systems manage workforce operations, ultimately enhancing efficiency and productivity across the organization. By leveraging such a comprehensive approach, businesses can ensure that their AI agents are not only effective but also aligned with their strategic objectives.

WinOps Cloud serves as an AI-powered enterprise operations platform that aims to digitally transform and integrate IT, HR, and business workflows into a cohesive automated ecosystem, thereby empowering organizations to optimize their operations, minimize manual tasks, and obtain real-time insights across various departments. This platform operates as a holistic operations suite, featuring specialized AI agents such as WinFlow for IT service automation, WinHRMS for human resource management, and WinERP for automating business processes, each tailored to address specific operational needs while maintaining seamless integration. By eliminating disjointed systems and reactive approaches, it employs intelligent automation to identify problems, oversee workflows, and uphold service-level agreements, guiding organizations towards more predictive and proactive operational practices. Furthermore, WinOps Cloud consolidates requests, data, and processes into a singular, unified environment, fostering connectivity among teams and systems while automating routine tasks and decision-making workflows, thus enhancing overall efficiency and collaboration within the organization. In doing so, it not only simplifies the management of various functions but also lays the groundwork for future innovations in enterprise operations.

VoltusWave is an advanced platform for enterprise AI agent workforces that transcends the limitations of standalone automation tools by integrating intelligent agents within a comprehensive execution framework capable of managing end-to-end business processes. This platform offers a cohesive environment where AI agents can interpret documents, make informed decisions, carry out workflows, and address exceptions, all while ensuring full audit trails and human intervention capabilities are in place. It operates through six interconnected engines, which include process orchestration, rules enforcement, document generation, integration infrastructure, no-code application development, and a regulated AI agent workforce, empowering organizations to efficiently manage intricate operations like procure-to-pay or enterprise-to-cash cycles with minimal human input. These AI agents function across all operational layers, dealing with tasks related to documents, approvals, reconciliations, compliance verification, and customer communications, while a robust rules engine guarantees that every action adheres to established guidelines with complete version control and traceability. This holistic approach not only streamlines processes but also enhances overall efficiency and accountability within the organization.

Mantle AI is an innovative platform built for the AI-driven automation of back-office functions, seamlessly integrating a company's current tools into a cohesive intelligent framework where autonomous agents can comprehend context and carry out tasks efficiently. This platform connects directly with various systems, including CRM, email, calendar, payment solutions, and product analytics, establishing a unified data layer that eliminates the need for complex setups or data migrations. Users can effortlessly create internal AI agents using a straightforward prompt, articulating their objectives in simple language while the platform manages the execution logic intelligently. These agents possess the capability to operate continuously in the background, respond to real-time events, adhere to pre-set schedules, or engage interactively when necessary, facilitating workflows such as automated reporting, monitoring customer health, conducting pre-meeting research, and drafting contextual emails. By prioritizing adaptability over rigid systems, Mantle AI enables agents to function similarly to human operators, retrieving information from multiple sources as needed, thereby enhancing operational efficiency. The result is a more streamlined approach to back-office tasks that empowers organizations to focus on strategic initiatives rather than mundane processes.

Innspark, a rapidly-growing DeepTech Solutions company, provides next-generation cybersecurity solutions to detect, respond and recover from sophisticated cyber threats, attacks, and incidents. These solutions are powered by advanced Threat Intelligence and Machine Learning to give enterprises a deep view of their security. Our core capabilities include Cyber Security and Large Scale Architecture, Deep Analysis and Reverse Engineering, Web-Scale Platforms. Threat Hunting, High-Performance Systems. Network Protocols & Communications. Machine Learning, Graph Theory.

Dagster is the cloud-native open-source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. It is the platform of choice data teams responsible for the development, production, and observation of data assets. With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early.

Engineered for the expansive 5G landscape, hyperscale networking software spans from the data center to the core, edge, and multi-cloud environments, providing exceptional scalability and rapid convergence. Its integrated monitoring and analytics engine enhances network visibility and delivers real-time intelligence, supplemented by predictive analytics and actionable insights for informed decision-making. You can deploy ACE on your current infrastructure from any location, resulting in reduced operational costs through quicker onboarding processes and enhanced reliability. Complying fully with open standards, this software enables network operators to seamlessly integrate with third-party automation and orchestration tools. The ACE platform features a three-layer architecture that is adaptable and scalable, facilitating connections among enterprise data centers and service or cloud provider infrastructures. As the first independent network operating system designed for internet-scale use, it boasts a scale-out route reflector with unmatched convergence times. This platform equips your network with actionable intelligence in real time and provides the adaptability needed to meet future demands. With its innovative design, ACE ensures that your network remains capable of evolving alongside technological advancements.

Gemini 3 Pro is a next-generation AI model from Google designed to push the boundaries of reasoning, creativity, and code generation. With a 1-million-token context window and deep multimodal understanding, it processes text, images, and video with unprecedented accuracy and depth. Gemini 3 Pro is purpose-built for agentic coding, performing complex, multi-step programming tasks across files and frameworks—handling refactoring, debugging, and feature implementation autonomously. It integrates seamlessly with development tools like Google Antigravity, Gemini CLI, Android Studio, and third-party IDEs including Cursor and JetBrains. In visual reasoning, it leads benchmarks such as MMMU-Pro and WebDev Arena, demonstrating world-class proficiency in image and video comprehension. The model’s vibe coding capability enables developers to build entire applications using only natural language prompts, transforming high-level ideas into functional, interactive apps. Gemini 3 Pro also features advanced spatial reasoning, powering applications in robotics, XR, and autonomous navigation. With its structured outputs, grounding with Google Search, and client-side bash tool, Gemini 3 Pro enables developers to automate workflows and build intelligent systems faster than ever.

Lyric serves as a comprehensive, four-tiered platform for supply chain decision intelligence, allowing organizations to effectively model, plan, and operate their supply chains swiftly. Its foundational data layer ensures robust enterprise-level data management, featuring prebuilt integrations and advanced transformation abilities that facilitate effortless scalability. Meanwhile, the algorithms layer comes equipped with ready-to-use engines designed to model and enhance networks, transportation, and inventory management, while also providing a flexible modeling environment where analysts can merge data, expand scientific insights, and create personalized user interfaces. Users can harness the workflows layer to innovate and streamline their operations through pre-designed applications, customizable processes, and adaptable science-as-a-service integrations that can be seamlessly integrated with existing systems. Lastly, the models & apps layer promotes efficient planning and execution by democratizing access to decision science, presenting tools for forecasting, routing, scheduling, and forensics in formats that are easily understood, thus fostering ongoing enhancement in supply chain performance. This holistic approach positions Lyric as a vital asset for organizations aiming to thrive in an ever-evolving business landscape.

Cybernetis.ai serves as an AI operating system specifically designed for self-sufficient enterprises. It efficiently oversees strategic initiatives and operational tasks in real-time, optimizing workflows across various sectors such as marketing, sales, customer service, logistics, and production. By facilitating intelligent decision-making, it also forecasts potential risks and market fluctuations. This innovative platform empowers businesses to boost their revenue, minimize expenses, and enhance their resilience against disruptions, effectively transforming conventional enterprises into autonomous entities. Ultimately, Cybernetis.ai not only elevates operational efficiency but also fosters a culture of adaptability and foresight within organizations.

Zentup, an innovative RFID middleware solution created by Clustag, is designed to capture, encode, process, and synchronize RFID data in real-time for warehouse and intralogistics activities. Serving as the core intelligence layer, it links RFID readers with enterprise systems, including ERP, WMS, WCS, and EPCIS, to ensure seamless and accurate flow of item-level data throughout the supply chain. The platform facilitates meticulous tracking during critical operations such as inbound verification, inventory management, order picking, packing, and outbound control, which assists organizations in minimizing manual errors and achieving comprehensive product traceability. Moreover, Zentup provides robust data processing capabilities with customizable reading efficiency and error tolerance, empowering teams to adapt the system to their specific operational requirements while retaining centralized oversight of all connected RFID devices. This adaptable nature not only enhances operational efficiency but also allows organizations to respond swiftly to changing logistical demands.

Symbotic is an innovative automation solution for warehouses that transforms the supply chain through its comprehensive, AI-driven robotic system. This platform features a coordinated fleet of autonomous mobile robots and robotic arms, which are outfitted with sophisticated vision and sensing technologies, allowing them to efficiently create optimized mixed-case pallets with unmatched speed and density. Its modular architecture facilitates easy scaling and adaptation to existing warehouse setups, thereby enhancing flexibility in both size and expansion. Furthermore, Symbotic's high-density storage framework, coupled with its advanced distributed storage algorithm, significantly optimizes space utilization, boosts capacity, and supports unparalleled speeds for product storage and retrieval. The AI-driven software orchestrates the activities of numerous autonomous robots, effectively managing the entire system from case digitization to complex routing, sequencing, and the assembly of ideal mixed-SKU pallets. As a result, businesses can achieve remarkable operational efficiency and adapt more easily to changing demands in the marketplace.

Enterprise information systems have undergone significant transformations and advancements over time. The management landscape has been reshaped due to corporate mergers, the need for internal controls, and regulatory compliance focused on personal data protection. Additionally, the rise of new businesses has emerged in response to fierce competition, leading to the development of innovative systems aimed at enhancing decision-making processes. Existing systems within established businesses are being refined to boost profitability, yet this has resulted in the creation of various systems that operate in isolation across different departments, each managed separately. This fragmented approach not only escalates the total cost of system maintenance but also hampers the overall efficiency of enterprise management. To address these challenges, enterprise information systems necessitate a system architecture and implementation that are "highly adaptable" and "highly flexible." Service-Oriented Architecture (SOA) has gained attention as a solution to these requirements, with the Enterprise Service Bus (ESB) serving as the integration technology that facilitates a cohesive architecture designed for enhanced reusability. By leveraging these approaches, organizations can streamline their operations and improve cross-departmental collaboration. Ultimately, this evolution aims to create a more integrated and efficient enterprise ecosystem.

Software transforms a vehicle into a smart machine, and the NVIDIA DRIVE™ Software stack serves as an open platform that enables developers to effectively create and implement a wide range of advanced autonomous vehicle applications, such as perception, localization and mapping, planning and control, driver monitoring, and natural language processing. At the core of this software ecosystem lies DRIVE OS, recognized as the first operating system designed for safe accelerated computing. This system incorporates NvMedia for processing sensor inputs, NVIDIA CUDA® libraries to facilitate efficient parallel computing, and NVIDIA TensorRT™ for real-time artificial intelligence inference, alongside numerous tools and modules that provide access to hardware capabilities. The NVIDIA DriveWorks® SDK builds on DRIVE OS, offering essential middleware functions that are critical for the development of autonomous vehicles. These functions include a sensor abstraction layer (SAL) and various sensor plugins, a data recorder, vehicle I/O support, and a framework for deep neural networks (DNN), all of which are vital for enhancing the performance and reliability of autonomous systems. With these powerful resources, developers are better equipped to innovate and push the boundaries of what's possible in automated transportation.

Aden is a next-generation AI-native platform that empowers business leaders to integrate their systems, optimize workflows, and automate essential operational tasks through intelligent multi-agent technology. The platform’s highly flexible and customizable design allows for rapid deployment tailored to unique organizational needs. By leveraging declarative tools and AI agents, Aden boosts operational efficiency and extends the capacity of teams to handle complex processes effortlessly. Serving over 100 clients across various sectors, including supply chain control towers and IT divisions within major financial firms, Aden has proven its ability to elevate operational performance. It automates critical workflows, freeing teams from manual workloads and enabling scalable growth. The platform is ideal for businesses seeking to modernize operations with intelligent automation. Aden’s AI-driven approach transforms how companies manage and execute mission-critical tasks. This results in increased agility, efficiency, and business impact.

Notenic serves as a runtime orchestration and governance platform aimed at managing and securing autonomous AI agents, also known as "digital labor," in real-time scenarios where failures could lead to significant regulatory, legal, or operational repercussions. Functioning as an infrastructure layer, it integrates directly into the execution path of AI systems to enforce strict governance protocols prior to any interaction with systems of record, thus avoiding the limitations of post-output filters or controls applied at the prompt level. The platform incorporates a zero-trust runtime architecture characterized by foundational principles such as zero-persistence, which ensures no data is retained after each session, and execution-path control that enforces policies right at the moment actions are taken. This design also emphasizes independence from model context, effectively preventing any adversarial inputs from compromising governed behavior. In addition, Notenic offers a comprehensive control plane that encompasses the management of AI agents, treating them as operational units with clearly defined roles and appropriate oversight, which enhances organizational efficiency and accountability. This robust framework ultimately ensures that AI operations are conducted within a secure and compliant environment.

Mesh Security represents an advanced cybersecurity solution grounded in Cybersecurity Mesh Architecture (CSMA), designed to consolidate fragmented security data, tools, and infrastructure into a cohesive, real-time adaptive defense system that aids organizations in the ongoing assessment, prioritization, and reduction of risks across various domains, including identities, endpoints, data, cloud, SaaS, CI/CD, and networks. This platform offers comprehensive posture management that persistently detects and contextualizes significant risks and vulnerabilities throughout the enterprise, converts diverse security signals into a dynamic asset graph for enhanced visibility, and facilitates cross-domain threat detection along with automated responses through AI-enhanced anomaly detection and pre-configured detection rules. Additionally, Mesh Security seamlessly integrates with existing security frameworks in just minutes, streamlining remediation processes and minimizing the attack surface without necessitating new infrastructure investments, while also centralizing policy management, playbook execution, and compliance enforcement in hybrid environments. By providing these capabilities, Mesh Security empowers organizations to maintain robust security postures in an increasingly complex threat landscape.

fcase is an integrated Fraud Orchestrator. This comprehensive approach to fraud management systems goes beyond simple, standalone detection into an enterprise-focused process. This holistic view of fraud data allows for standardising fraud case interactions, fraud operational processes and governance models. It also provides for performance and quality indicators to be normalised. Our next-generation technologies combine different data platforms and collect information from multiple fraud detection sources to manage fraudulent activities at an enterprise level with adaptive analytics. fcase covers all financial crime, risk compliance, and customer care systems. It centralises alerts and events to one enterprise-wide platform for all your fraud investigation reporting and compliance reporting needs. fcase consolidates multichannel fraud data, simplifies management, centralises data analytics, and significantly increases efficiency. To learn more or would like to see how we benefit fraud operations, please reach out at fraud.com.

Transform your warehouse operations and adapt to scalability demands through cutting-edge robotic automation developed by the foremost AI researchers globally. The Covariant Brain, trained on data from millions of picks across diverse warehouses, allows robots to efficiently and independently select nearly any SKU or product right from the start. Covariant’s AI-driven Robotic Putwall takes this a step further by autonomously organizing items from mixed-SKU containers, effectively bridging labor shortages while enhancing overall throughput. Each implementation is carefully customized to integrate seamlessly with your current floor layout, systems, and both upstream and downstream workflows. Additionally, with fleet learning capabilities, each robot benefits from the collective experience gained through millions of selections made by interconnected robots in warehouses worldwide. This means that as soon as they are deployed, Covariant robots are ready to tackle virtually any SKU or item, irrespective of its shape, size, or packaging. The impact of this technology not only streamlines operations but also significantly boosts efficiency and productivity in your warehouse environment.