Best Agentic AI Platforms with a Free Trial of 2026 - Page 8

Knolli serves as an AI copilot platform that allows users to create, deploy, and expand tailored AI copilots and agents without the necessity of coding by converting knowledge, documents, datasets, and proprietary materials into engaging, conversational assistants. This platform features a no-code workspace where individuals, teams, and businesses can articulate their concepts in simple terms, enabling Knolli to automatically organize uploaded materials into a functional AI copilot. Additionally, it ensures data is organized and safeguarded through encrypted private knowledge bases while seamlessly integrating with tools like CRMs, file storage systems, and databases to provide real-time data for contextually relevant interactions. Knolli accommodates a multi-agent framework that allows various specialized agents to operate within a single copilot, offers pre-designed templates for frequent scenarios, and supports custom branding and white-label solutions. Users can also benefit from comprehensive analytics to track performance, usage metrics, and return on investment. Moreover, Knolli enhances productivity by providing workflow automation, which empowers copilots to carry out complex tasks and synchronize with current systems effortlessly. This robust set of features makes Knolli a versatile solution for organizations looking to leverage AI effectively.

PrivatClaw serves as a private AI assistant platform, offering users a dedicated AI that operates around the clock on a private server, ensuring that it can manage scheduled activities, outreach, reporting, and monitoring seamlessly, even while the user is offline. It creates a private computational space where your AI remains perpetually active, capable of executing tasks continuously and responding or acting on your behalf without the need for ongoing manual input. While the website provides limited information regarding specific features and integrations, the fundamental concept revolves around providing users with a consistently operational AI instance that autonomously executes various assignments, differing from a standard prompt-driven chatbot that becomes inactive when not in use. The platform highlights the AI’s capability to remain constantly engaged, making it available at any moment to carry out background tasks, such as monitoring events and generating reports, which enhances its effectiveness for ongoing responsibilities and proactive workflows. This constant readiness positions PrivatClaw as an ideal solution for individuals seeking reliable automation and support for their everyday tasks.

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.

Resolve production incidents and development issues with AI that understands your code, infrastructure, and telemetry — reducing MTTR by up to 80% and boosting engineering productivity by 50%. OpsWorker helps Software Developers, SREs, and DevOps Engineers reduce MTTR, resolve complex development issues, and manage high-incident environments. Through intelligent incident correlation, code-aware troubleshooting, and deep integration into your technical ecosystem, OpsWorker delivers actionable insights and autonomous remediation — ensuring resilient, high-performance operations across Kubernetes and Cloud workloads. Built as an AI SRE platform for modern AIOps, OpsWorker leverages AI Observability to analyze incidents across distributed systems, correlating signals from metrics, logs, traces, infrastructure state, and deployments to surface the most probable root cause within minutes. Designed with an EU-first approach, OpsWorker prioritizes data sovereignty, privacy, and enterprise-grade security while enabling engineering teams to investigate incidents faster and operate complex cloud-native environments with confidence. Recent platform capabilities include Resource Topology and Service Dependency mapping, giving engineers full visibility into upstream and downstream service interactions across HTTP, TCP, and gRPC workloads. OpsWorker now integrates with Grafana Alerting contact points and supports Bring Your Own LLM, allowing organizations to use their preferred AI models for investigations. Engineers can also enrich investigations with custom operational context, enabling deeper root-cause analysis for complex incidents. To reduce alert fatigue, OpsWorker delivers a Daily Diff Summary in Slack, highlighting meaningful changes in alerts and system behavior

Genesis Computing offers an innovative enterprise AI platform centered around autonomous "AI data agents" designed to streamline complex data engineering and analytics workflows within an organization’s existing technology framework. This groundbreaking approach creates a new category of AI knowledge workers that function as self-sufficient agents, capable of executing comprehensive data workflows instead of merely providing code suggestions or analytical insights. These agents are equipped to explore data sources, ingest and transform datasets, map raw data from originating systems to structured analytical formats, generate and execute data pipeline code, produce documentation, conduct testing, and oversee pipelines in real-time production settings. By managing these processes from start to finish, the platform significantly diminishes the manual effort usually needed to construct and sustain data pipelines and analytics infrastructure. Consequently, organizations can focus more on strategic initiatives rather than getting bogged down by repetitive technical tasks.

AI Hive is a comprehensive enterprise AI agent platform built to help organizations deploy and manage intelligent automation at scale. The platform enables businesses to design, orchestrate, and govern AI agents that operate across multiple systems, workflows, and data environments. AI Hive focuses on solving a common enterprise challenge where many companies experiment with AI but struggle to move beyond small proof-of-concept projects. With built-in governance, compliance controls, and scalable infrastructure, the platform ensures that AI deployments remain secure, controlled, and aligned with organizational policies. The AI Hive marketplace provides access to a growing library of ready-made AI agents designed for specific business functions and industries. These agents can perform tasks such as contract review, compliance monitoring, loan assessments, patient triage, and supply chain analysis. Organizations can deploy these agents quickly while also customizing them to match their internal processes. The platform integrates with enterprise tools, databases, and analytics systems to ensure seamless data flow and automation across the organization. AI Hive is model-agnostic, allowing companies to use different AI models without vendor lock-in. By combining AI orchestration, governance, and a modular marketplace of agents, AI Hive helps businesses turn AI initiatives into scalable, production-ready solutions that deliver real operational value.

Blink Claw is an AI-powered platform designed to help users deploy and manage multiple autonomous agents that handle business and personal tasks around the clock. It enables users to create specialized agents for tasks such as managing emails, following up on leads, generating reports, and monitoring workflows with minimal effort. The platform integrates seamlessly with popular tools like Slack, Gmail, Google Calendar, and more, allowing agents to operate within familiar environments. Each agent runs continuously, executing tasks independently and responding to triggers without requiring constant supervision. Blink Claw supports unlimited agents, enabling users to scale their automation as needed. It also includes access to over 200 AI models without requiring separate accounts or API key management. With persistent memory, agents improve over time by learning preferences and workflows. The platform is accessible through messaging apps like Telegram, Discord, and Slack, making interaction simple and intuitive. Its secure infrastructure ensures that data and operations remain private and protected. Overall, Blink Claw provides a scalable and efficient solution for automating workflows and improving productivity.

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.

Subspace serves as an innovative workspace for AI-native agents, specifically crafted to aid developers and teams in the oversight, coordination, and collaboration with various coding agents within a cohesive environment that maintains context throughout different sessions. Rather than considering each interaction with AI as a separate event, this platform actively cultivates a persistent memory system that compresses every dialogue into structured insights, encompassing decisions, obstacles, and advancements, which are consistently refined to reflect an evolving state of the project. This collective memory is associated with the overall workspace instead of any specific tool, enabling diverse agents, such as Claude Code, Codex, and others, to seamlessly continue from where prior sessions concluded without the need for repetitive explanations or manual context shifts. With Subspace, users can integrate terminals, files, documentation, browser views, and git workflows into well-organized workspaces, allowing for the simultaneous operation of multiple agents while facilitating rapid transitions between different projects. Consequently, this comprehensive approach enhances productivity and collaboration, paving the way for more efficient development processes.

Plurai serves as a real-world trust platform dedicated to AI agents, designed for simulation-based assessment, safeguarding, and enhancement, effectively transforming agents into dependable and progressively advanced production systems. It assists teams in developing evaluations and protective measures specific to their requirements, facilitating the transition from initial prototypes to robust, scalable production. Plurai's simulation framework equips agents for real-world challenges rather than controlled environments, employing hyper-realistic, product-specific experimentation and assessment that addresses the intricacies of production. The platform creates genuine multi-turn interactions, diverse personas, essential artifacts, and tool simulations, utilizing organizational PRDs, pertinent references, and policies to construct a knowledge graph that broadens edge-case coverage. By moving away from static datasets, manual test formulation, and inconsistent LLM evaluation methods, Plurai organizes assessments into coherent, executable experiments, enabling teams to test new iterations, track regressions, and confirm enhancements prior to deployment. Ultimately, this innovative approach ensures that AI agents are not only trusted but also continuously refined for optimal performance in dynamic environments.

Preloop serves as an open-source control plane designed for AI agents that perform tangible actions. It integrates a multi-layered security approach featuring an MCP firewall for managing tool access, an AI model gateway that ensures cost-effectiveness, safety, and accountability, along with policy-as-code that incorporates human oversight, all while providing runtime session visibility and audit trails—all within a self-hosted environment. Given the rapid capabilities of AI agents to deploy code, modify infrastructure, manage financial transactions, access production data, and incur model costs almost instantaneously, Preloop empowers teams to regulate agent activities, monitor expenditures, and determine which actions necessitate human consent. It is compatible with a variety of tools such as OpenClaw, Hermes, Claude Code, Codex CLI, Cursor, Gemini CLI, Windsurf, Cline, OpenCode, and any agents that adhere to MCP standards. Additionally, access rules can evaluate not only the tool names but also arguments and context, utilizing CEL expressions to establish detailed conditions. Furthermore, teams have the flexibility to initiate with observability features and progressively introduce approval and denial protocols without the need for SDKs or extensive modifications to existing applications, thus streamlining the implementation process. This comprehensive approach ensures that organizations remain in control of their AI agents' functionalities and impacts.

Nagent AI is a comprehensive platform designed for enterprises that enables teams to transition from merely creating AI tools to deploying intelligent applications that can autonomously handle genuine business processes. With Nagent, individuals ranging from product managers to customer success representatives can effortlessly design, implement, and coordinate AI agents capable of learning, recollecting, and acting on tasks. The intuitive no-code Agent Builder Studio integrates models, tools, logic, knowledge, memory, and multimodal features within a single interface, facilitating the creation of agents from the ground up, the customization of existing templates, or even assistance from an AI assistant to complete various workflow components. Moreover, it boasts a unique multi-agentic workflow system that harmonizes multiple agents into a cohesive flow, seamlessly linking content, research, reporting, and other essential enterprise functions. Supporting over 40 AI models within a single platform, Nagent empowers users to leverage a variety of models without the hassle of managing different keys, accounts, or billing systems. This streamlined approach not only enhances productivity but also allows teams to focus more on strategic initiatives rather than technical complexities.

Multica is an innovative open-source project management platform designed for collaboration between human teams and AI agents, transforming coding agents into collaborative partners instead of merely being viewed as separate tools. This platform offers a unified workspace where both humans and AI can interact seamlessly; agents are capable of taking on tasks, providing updates, engaging in discussions, addressing obstacles, delivering code, and showcasing their presence along with profiles, avatars, and issue queues. Users can delegate tasks to agents as casually as they would to a fellow teammate, or they can initiate a chat to request issue drafting, inquiries, or to manage one-off tasks. Furthermore, Multica's shared context layer ensures that comments, attachments, reports, task histories, and workspace knowledge remain readily available to both agents and users, while the implementation of skills serves as comprehensive playbooks that empower all agents to utilize consistent definitions and operational guidelines. This integration not only enhances productivity but also fosters a more cohesive working relationship between humans and AI in the project environment.

Ejentum serves as a structured reasoning framework tailored for agentic AI, enhancing the reliability, auditability, and discipline of LLM agents during intricate or protracted tasks. This innovative tool can be invoked by agents mid-task, facilitating precise cognitive operations tailored to the specific challenges they face, allowing for real-time corrections in reasoning rather than depending solely on static prompts. Designed to prevent AI agents from deviating, flattering, fabricating, or fixating on incorrect hypotheses, Ejentum also ensures they don’t settle for superficial answers or lose vital context over successive steps. The framework boasts 679 capabilities organized into four cognitive harnesses: reasoning, code, anti-deception, and memory. Within the reasoning harness, analytical capabilities are directed towards understanding causality, time, space, simulation, abstraction, and metacognition, which aids agents in steering clear of merely recognizing surface patterns. By integrating these diverse functionalities, Ejentum empowers AI to maintain a deeper engagement with tasks, ultimately enhancing the quality of their outputs.

Flowtask transforms messages from Slack, emails, and documents into a cohesive operational memory and accountable workflow. Each interaction is organized into an actionable skills file, allowing every agent to easily comprehend what tasks are pending, who is responsible, any obstacles faced, and the history of discussions without needing to revisit previous context or perform manual updates. Its AI Task Builder analyzes conversations in real-time, extracting essential elements such as requests, deadlines, sender information, attachments, decisions made, and conversation history, subsequently generating tasks tailored for client deliverables, internal actions, follow-ups, approvals, escalations, or identifying blockers. The Smart Assignment feature ensures that each task is directed to the appropriate owner based on workspace context and established guidelines, while the Priority Engine assesses urgency by analyzing tone, service-level agreements, and timelines. Additionally, the Email-to-Task and Slack capture functionalities maintain visibility of work without requiring teams to alter their existing habits, and status synchronization ensures that communication and execution remain in harmony. By integrating these features, Flowtask significantly enhances team productivity and accountability.

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.

A handless agent is essentially just a chat interface, while superagnt_ serves as a robust MCP server that equips your existing agent with social media insights, web data, lead enhancement capabilities, a fully operational Postgres database, shared memory resources, scheduling tools, queues, webhooks, and an inbox, all accessible through a single key. You can direct any MCP client, such as Claude Code, Codex, Cursor, or OpenClaw, to connect with the superagnt MCP server. Charges apply only when a response is successfully generated, and both free and pay-as-you-go options are available, with the builder base starting at just $19 per month. Moreover, this comprehensive setup allows for seamless integration of various functionalities, enhancing the overall user experience.

VerifyAX serves as a platform for verifying AI agents, enabling organizations to assess their autonomous agents' performances in realistic conditions prior to launching and during their operational phase. This platform offers a comprehensive verification framework that allows for the simulation of agent behavior, the testing of edge scenarios, the tracking of decision-making pathways, and the detection of potential problems before they can impact live systems. Teams are able to integrate their agents, models, and various tools, specify their testing objectives, and conduct evaluations based on simulations aligned with defined criteria. Each evaluation generates detailed audit-level reports that include scores, transcripts, narratives, and actionable recommendations. The platform accommodates various structured data formats such as text, images, tables, CSV, Excel, and PDF, while also enabling synthetic data creation for rigorous stress testing without risking the security of proprietary information. Additionally, VerifyAX assesses agents' proficiency in utilizing enterprise applications like email, Jira, and Slack, analyzing metrics such as workflow completion, accuracy of outputs, efficiency of processes, and consistency throughout multiple assessments. This multifaceted approach ensures that organizations can confidently deploy their AI agents, knowing they have been thoroughly vetted under real-world conditions.

Celonis transforms business processes into extraordinary experiences. Find out how your processes actually run. To understand the root causes behind process deviations or inefficiency, you can use your digital footprint. AI-powered tools can help you improve your processes. Every employee can remove process friction by using intelligent recommendations. Monitor process improvement over time. Measure, celebrate, and track process transformation business impact. Celonis has a simple goal: To analyze today's processes and make tomorrow's world more efficient. This vision is our passion and our purpose. We believe that any company can achieve greatness regardless of its industry or history. Celonis process mining, the new standard for Big Data Analytics, is designed to help companies save valuable time and money by improving process transparency and efficiency. We hope you'll join us on this journey.

PRIME BPM, a cloud-based Business Process Management tool, allows you to quickly and accurately map, analyze, improve, and automate your business processes. Our specialized Business Process Management programs will help you take your Business Process Improvement/ Process Mapping skills up to the next level. You will receive high-quality process maps that are standardised and created by experts at a lower price and in a shorter time frame. PRIME BPM is a cloud-based, plug and play BPM software that allows you to map, analyze, improve, and automate your business processes. PRIME BPM is a powerful cloud-based, plug-and-play BPM software that can be used by both business users and business process experts. It has the best-of breed inbuilt methodology and user-friendly interface to meet the needs of both groups. PRIME BPM is based on powerful methodologies such as BPM and Six Sigma, Value Stream Mapping, Six Sigma, Value Stream Mapping, and other. It has helped hundreds of top-ranking organizations achieve their business goals.

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.

SearchUnify is an enterprise Agentic AI platform built to transform customer support through autonomous, intelligent operations. Powered by SearchUnifyFRAG™ (Federated Retrieval Augmented Generation), the SCORE framework, and Agentic RAG, the platform unifies siloed enterprise data to deliver contextually accurate, real-time responses across the support lifecycle. Its core product suite includes Cognitive Search for AI-powered retrieval across fragmented knowledge sources, SearchUnifyGPT™ for cited generative AI answers across every support touchpoint, SUVA (Virtual Assistant) for autonomous multi-turn query resolution, Knowbler for knowledge creation and management, and Agent Helper for real-time AI assistance during case resolution. The Agentic AI Suite deploys eight purpose-built agents across the support lifecycle. The AI Support Agent handles end-to-end self-service case resolution. The AI SupportPlus Agent autonomously resolves CRM tickets, initiates clarification loops when context is missing, and hands off complex cases with full context. The AI Classification Agent manages real-time case tagging and routing. The AI Escalation Manager predicts and mitigates escalation risk. The AI Knowledge Agent automates knowledge creation and identifies content gaps. The AI Competency Agent resolves complex L2 technical workflows autonomously. The AI Agent Partner provides in-the-moment guidance to support teams. The AI Case Quality Auditor evaluates 100% of closed cases for continuous improvement. The platform supports BYOLLM, Model Context Protocol (MCP), and a governance layer with role-based access control, PII masking, and compliance with ISO 27001, HIPAA, and SOC 2. It integrates with 100+ enterprise platforms including Salesforce, Zendesk, and ServiceNow.

Our AI is your best agent, trained to answer all questions and guide customers through every step of their journey, 24/7. Our AI is cost-effective, quick, and offers out-of-the-box domain knowledge and integration. Enterprise Bot's conversational AI is superior and can understand and respond to user requests in multiple languages. Our domain knowledge allows for high accuracy and record-breaking time-to-market. We offer automation solutions that integrate into core systems, whether it's commercial or retail banking, asset, or wealth management. You can check the status of trades, pay your credit card bills, send offers and much more. To increase sales and cross-sell, provide simple answers to complex questions about insurance products. Our smart flows will allow customers to quickly report claims using our smart flows. Our AI interface allows customers to ask questions about ticketing, book tickets, check train schedules and provide feedback.

HCL BigFix is a Unified Endpoint Management (UEM) and automation platform designed to deliver Secure Resilient Operations by reducing risk, cost, and operational complexity across enterprise IT environments. Built on a single-agent, multi-platform architecture, HCL BigFix provides centralized management, security, and remediation for 165M+ endpoints across on-premises, hybrid, and multi-cloud environments. As AI-driven vulnerability discovery accelerates through frontier models such as Mythos, organizations face a growing challenge: exploitation timelines are shrinking faster than traditional remediation processes can respond. HCL BigFix helps close this gap by enabling near real-time remediation, automated compliance enforcement, and continuous risk reduction. BigFix combines infrastructure security, endpoint remediation, and digital employee experience automation within a single platform Core Platform Capabilities Infrastructure Security & Remediation: - Automates vulnerability remediation and patching across workstations, servers, virtual machines, and cloud workloads - Integrates with leading vulnerability scanners including Tenable, Qualys, and Rapid7 to close the gap between detection and fix Enterprise-Scale Endpoint Management: - Manages and secures 165M+ endpoints across nearly 120 operating system variants - Uses a resilient, distributed architecture that maintains policy enforcement even for offline or intermittently connected devices Digital Employee Experience & Autonomous Support: - Enhances endpoint health and employee productivity through proactive monitoring and automation - Powered by AEX, HCL BigFix’s agentic AI platform, enabling self-healing workflows, intelligent automation, and natural-language interaction

TESS AI is a next-generation AI agent platform built for individuals, teams, and families who want unrestricted AI access. It offers more than 250 premium, verified AI models that can be used across creative, technical, and business workflows. Users can collaborate freely with unlimited account sharing and no surprise restrictions. The platform supports multi-model chat, allowing different AI systems to work together in a single conversation. Advanced features include image, video, music, voice, and presentation creation directly within chat. TESS AI prioritizes transparency by showing real-time costs and eliminating hidden limits. Private data is never used for AI training, ensuring full privacy protection. Smart memory tools help the AI retain important context and reduce repetition. Full API access allows seamless integration into custom applications. TESS AI redefines AI access with fairness, scalability, and enterprise-level capability.