Agentic Index
Vendors
985 agentic AI vendors tracked. Filter by category, pricing model, or search by name.
180 vendors
Unified resource and payment gateway for AI agents that lets them discover, access, and pay for models, APIs, data, and compute through one programmable interface, with usage based billing settled in fiat or stablecoins.
Singapore compute infrastructure company building a full stack platform for agentic AI at the edge, spanning its own AI silicon, local LLM inference, an operating system, multimodal interfaces, and agent orchestration, with a first generation platform called GELIX moving toward mass production.
Agent observability and reliability platform with broad model and framework support, OSS SDK surface, and devtools for production-agent debugging. An infrastructure component, not an end-user assistant.
A self-healing query language for the web: natural language selectors that find elements by meaning, survive layout changes, and return structured JSON or Playwright locators. SDKs, REST API, MCP server, and framework integrations — the semantic selector layer beneath agents.
High-performance agent runtime and framework (formerly Phidata) with multi-agent support, memory, and Apache 2.0 self-hosting.
Cloud browsers for AI agents that compile plain English workflows into deterministic agents: runs on schedules or triggers, self-heals broken runs, persists authenticated profiles, and supports Live View human takeover. SDKs, REST APIs, and a builder agent named Mark.
Enterprise agentic AI platform that builds and runs multi agent systems on a durable distributed runtime, unifying orchestration, agents, memory, and streaming in one SDK.
AI control plane that governs how models, agents, tools, and workflows execute inside regulated financial firms, with policy enforcement, sealed audit records, and provable replay.
Cloud hosted browser infrastructure that lets AI agents operate real web interfaces, navigating, authenticating, filling forms, and extracting data on sites that have no API.
Open, API first hospitality property management platform pivoting into agentic infrastructure, with the Agent Hub marketplace of hireable AI agents, the first hospitality MCP Server built on Anthropic's Model Context Protocol so agents can run cross system hotel operations without custom integrations, and an Agent Factory for co creating agents.
Cloud platform for web scraping and automation with 45,000+ prebuilt Actors, proxies, and an MCP server that exposes them as tools for AI agents.
Authenticated tool calling platform and MCP runtime that handles OAuth and token management so AI agents can securely act across 7,000+ integrations.
AI observability and evaluation platform that traces, evaluates, and monitors LLM applications and agents, with an open source core in Phoenix.
Open-source AI agent platform with a visual block-based builder, agent marketplace, and continuous agent runtime, available as free self-hosted software or a hosted cloud with subscription plus pay as you go credits.
Autonomous AI SRE platform whose coordinated agent swarm monitors, diagnoses, and remediates issues across Kubernetes and cloud, with root cause analysis, auto remediation, and GPU orchestration.
Universal communication and coordination layer for AI agents, a service mesh for agents, that lets agents built in any framework discover, delegate, and collaborate with each other and with humans in shared rooms, with built in governance that verifies authority and tracks who did what under which policy.
Open source serverless sandboxes and GPU cloud for production agents, with gVisor isolation, stateful snapshots, and bring your own compute.
Open source deterministic orchestrator that runs 40 plus CLI coding agents such as Claude Code, Codex, and Gemini CLI in parallel git worktrees with no model in the coordination loop, so runs replay byte identically behind an HMAC signed audit chain.
Context and control layer that lets AI agents operate cloud infrastructure safely, grounding them in a live cloud graph and routing every change through governed plan, approve, and apply orchestration.
Autonomous QA as a service where AI agents generate, execute, and maintain end to end tests, validated by a human expert pod.
AI evaluation and observability platform with self-serve pricing, MCP support, human eval loops, dataset management, and Series B traction. Infrastructure for eval-driven AI development teams.
Web data infrastructure for agents, spanning a 400 million IP residential network, Web Unlocker, Scraping Browser and a Web MCP server with a free tier that lets Claude, Cursor and Windsurf navigate and act on the live web unblocked.
Bright Data's cloud browser for agents: GUI Chromium fleets on 400M+ rotating IPs with autonomous CAPTCHA solving across every major challenge system, drop-in CDP compatibility, an MCP server, per-session fingerprints, and audit logs. The unlocking layer as agent infrastructure.
Browser infrastructure platform for AI agents, providing hosted browsers, the Stagehand SDK, and Browserbase MCP integration.
Headless browser infrastructure running pooled Chrome, Firefox and WebKit over WebSocket, REST and an official MCP server, with a stealth first query language, session persistence and self hosting into a VPC or air gapped network.
Enterprise AI security platform that red teams, defends, and monitors AI models, apps, and agents at the inference layer. Now an F5 company.
Runtime security layer for AI agents that detects and blocks unsafe agent behavior in real time, with agentless discovery, an agent security graph, and white box agent red teaming.
Real time voice models (Sonic text to speech, Ink speech to text) and the Line voice agent platform, built on state space models for sub 100 millisecond latency.
Product data layer for AI commerce that structures and enriches a brand's catalog into machine readable data and syndicates it, via MCP, to the AI surfaces where shoppers ask.
Agent to agent network for B2B finance where buyer and supplier AI agents settle invoices, disputes, and payment terms directly in real time, aiming to retire fixed net payment terms.
Process intelligence platform whose AgentC suite and Process Intelligence Graph give AI agents the business context to analyze, design, and operate autonomous enterprise processes.
AIOps agent for ML teams that puts GPU infrastructure on autopilot: Chambie monitors, root causes and autonomously fixes failed training runs, reruns from checkpoint, and right sizes and schedules GPU workloads across clouds, deployed inside your own cluster.
Agentic payments infrastructure company building ATXP, an open, web-wide protocol that lets AI agents discover, negotiate, and settle instant low-cost micropayments with each other, connecting agentic commerce, stablecoins, and payments into one rail.
Open source authorization gateway for AI agents: vaults credentials, enforces task scoped access, and puts a human approval gate and full audit trail on every tool call.
Universal non human identity security platform that discovers, governs, and secures every NHI, AI agent, and secret across cloud, SaaS, and on prem, powered by the Identity Lineage graph and a zero trust, ephemeral credentials approach.
Open source AI memory platform giving agents persistent long term memory through a hybrid graph, vector, and relational engine with a memory native API.
Agent integrations layer providing 1,000+ app connections with delegated auth, MCP positioning, reusable toolkits, and SOC 2 / ISO 27001 compliance. Infrastructure for agent tool access, not an end-user assistant.
LLM evaluation and observability platform from the creators of DeepEval, with 50+ open source metrics for testing agents, RAG, and chatbots.
AI infrastructure for healthcare developers: clinical ASR, healthcare LLMs, and an Agentic Framework with orchestration, guardrails, and an Agent Library through one API, with audit trails on every call and usage based credit pricing.
Established CX assurance platform that added agentic testing and AI governance so enterprises can validate, monitor, and control customer facing AI agents, using AI test agents to test other agents across voice and digital channels and AI Trust modules to catch compliance, bias, and hallucination risks before customers do.
Privileged access leader extended to agents: the Secure AI Agents Solution brokers every agent connection so credentials are never held by the agent, with a complete audit trail per action. Acquired by Palo Alto Networks Feb 2026.
Open source durable execution library built on Postgres that makes workflows, queues, and AI agents fault tolerant and observable with a few code annotations, managed centrally through the Conductor workflow ops console.
Data engineering automation platform whose AI Migration Agent translates and validates data pipelines to full parity, with a Data Knowledge Graph and MCP tools that make coding agents reliable.
Open source infrastructure that spins up secure, isolated sandboxes in under 90 milliseconds so AI agents can run generated code safely.
Voice AI infrastructure with real time speech to text (Nova, Flux), text to speech (Aura), and a Voice Agent API that unifies listening, thinking, and speaking.
Agent native governance control plane that registers agents, filters tools via an MCP Gateway, enforces per action Cedar policy before execution, and audits every governed action across any cloud.
Secure code sandbox infrastructure for AI agents: isolated virtual-computer execution environments, SDKs, and PAYG pricing for AI developers who need safe, ephemeral code execution. Infrastructure component, not an end-user agent.
Agentic observability platform whose AI Teammates, coordinated by the OnCall AI super agent, autonomously triage alerts, run root cause analysis, review code and PRs, and file tickets across SRE, security, and DevOps work, grounded in real time telemetry.
Security platform for the agentic workforce, an EDR for AI agents that discovers every agent, model, tool and MCP, models attack paths, and blocks risky agent actions in real time.
Neural web search API built for AI agents and RAG that retrieves pages by meaning and returns token efficient, LLM ready contents.
AI native agent platform for banking that deploys 220+ prebuilt agents on top of legacy systems with an agent builder, in perimeter data control, and banking grade governance.
Enterprise AI observability and security control plane for agents, LLM apps, and ML models, with real time guardrails, explainability, and governance.
Open source web scraping and crawling API that turns any site into clean, LLM ready markdown or structured JSON for agents.
Product knowledge platform that unifies technical content into an AI ready hub and, through core RAG services and an MCP server, grounds chatbots, copilots, and agents in trusted, cited product information.
Ops orchestration layer for fintechs where humans and AI agents run compliance workflows on your own data, MCP native, bring your own LLM, SOC 2 certified with full audit trails.
LLM product testing, evaluation, and observability platform that unifies prompt management, evals, experiments, and production monitoring for cross functional teams.
Open-source autonomous research agent with planner/execution multi-agent architecture and cited reports.
AI reliability platform that evaluates, observes, and guardrails GenAI apps and agents using its own low latency Luna evaluation models.
MCP platform that uses LLMs to turn OpenAPI specs into secure, agent ready MCP tools and govern them across their lifecycle.
Voice AI platform with foundational speech models and agents that run production workflows for enterprises.
Open source framework for validating and correcting LLM outputs with composable guardrails plus a hub of prebuilt validators for safety and structure.
Voice and chat agent QA platform that simulates thousands of test calls and monitors production calls with 50 plus voice specific metrics.
Durable orchestration engine for AI agents, background tasks, and mission-critical workflows, built on PostgreSQL with automatic retries, checkpointing, and observability, available as managed cloud or MIT-licensed self-host.
Open-source LLM orchestration framework by deepset for building RAG, search, and agentic pipelines, with enterprise support.
Open source LLM observability platform and AI gateway that logs, routes, caches, and costs every request through one OpenAI compatible endpoint.
Leading independent AI/ML model security platform extended into agents: Model Scanner (35+ formats, supply-chain threats), AI Detection and Response against adversarial attacks and prompt injection, model genealogy and AIBOM governance, plus 2026 agentic runtime security that detects malicious tool calls and data exfiltration in multi-step autonomous workflows. The model-security-first counterpart to agent-native Noma and Zenity.
OpenTelemetry native platform to trace, evaluate, and monitor AI agents across development and production, combining automated and human evaluation with a versioned system of record.
Cloud headless browser infrastructure for AI agents with stealth, proxy rotation, and CAPTCHA solving, plus the open source HyperAgent framework and an MCP server.
API based memory and context layer that connects company tools into a live context graph any AI agent can read from and write back to, with every fact traced to source.
Global CPaaS leader whose AgentOS orchestration layer runs autonomous AI agents across more than fifteen channels, with built in MCP servers and human in the loop oversight.
Durable execution platform for event driven workflows and AI agents, with step level retries, checkpointed resume, native human in the loop waits, and an AgentKit framework for multi agent networks, running on your own compute.
Cold email infrastructure with a real agent layer: the AI Sales Agent reads your ICP, finds buyers in a 450M database, writes the outreach and books meetings on autopilot or with human approval.
Code native privacy and consent governance built on the open source c15t SDK, extending to govern how AI systems and agents handle user data.
Realtime agent runtime for graph-based AI systems: provides orchestration nodes, telemetry, memory, experiment support, on-prem TTS, and deployment options for AI product teams. Infrastructure layer, not an end-user assistant.
The enterprise browser as agent control plane: build and run governed autonomous agents with per agent permissions, human approval gates, real time DLP on MCP data flows, per invocation SIEM audit logs, and model agnostic provider choice.
Agentic infrastructure orchestration platform whose MCP Server and FlowAI framework let AI agents act on networks and hybrid cloud through governed workflows with RBAC, approval gates, validation, rollback, and full audit trails.
Infrastructure for running agentic AI workflows: one OpenAI-compatible endpoint that proxies over 100 LLM providers, runs autonomous agents in isolated sandboxes from markdown runbooks, and applies evaluation loops with full trajectory tracing.
Search foundation platform with a Reader, embeddings, reranker, and DeepSearch that grounds agents and RAG systems in clean, retrievable web data.
Browsers as a service for AI agents: millisecond spin ups, persistent session state, live take-control views and replays, any-framework support plus an MCP server, and an agent runtime that turns agents into HTTPS endpoints. $22M from Accel and YC.
Self building backend test harness that validates every code change including AI generated changes against the real stack in the IDE, self healing the suite as the codebase evolves.
Open source, event driven orchestration platform that unifies data, AI, infrastructure, and business workflows behind a declarative YAML interface, with AI native agents, human in the loop approvals, and more than one thousand two hundred plugins.
MCP infrastructure with hosted, production MCP servers and built in OAuth across 600 plus tools, plus the open source Strata server and agent training environments.
API gateway extended into agent infrastructure: Kong Agent Gateway governs LLM, MCP and agent to agent traffic from one control plane, with identity verified at every hop and policy written against request meaning.
AI native security platform that protects LLMs and agents from prompt injection, jailbreaks, and data leakage at runtime, with continuous red teaming.
Open-source framework for building LLM-powered agents and multi-agent pipelines, with observability via LangSmith and graph orchestration via LangGraph.
LangChain's commercial observability, evaluation and agent operations platform, tracing agent runs node by node, running offline and LLM as judge evals, and deploying LangGraph agents as managed durable APIs.
Open source platform for agent observability, evaluation, and scenario based simulation, with OpenTelemetry tracing and a built in AI gateway.
Serverless platform to build, deploy, and scale composable AI agents with built in memory, tools, and a unified API to hundreds of LLMs.
Open-source AI engineering platform for tracing, observability, prompt management, and evaluation, self-hostable or SaaS, with an OSS community, free plan, and model-agnostic coverage.
GenAI-first, end-to-end AI security platform covering models, agents, and applications through a five-pillar framework: Discover (shadow AI and agent inventory), Assess (posture on what agents can reach and do), Test (automated red teaming with a 3,000+ attack library and multi-turn agentic attacks), Enforce (inline policies at the proxy, API, or AI gateway layer), and Protect (runtime detection and response). Its Intent Security framework, anchored by the Intent Deputy launched in 2026, sets behavioral baselines for agentic AI and covers MCP security. Sub-50ms classifications with a published 98.6% accuracy rate.
Low code agent and automation platform billing by execution seconds rather than per task, with a built in headless browser and database, bundled access to GPT, Claude and Gemini, and self hosted or on premise deployment.
Paris deeptech building vendor neutral middleware for agentic commerce: a single integration ingests a brand's catalog, structures it for large language models, and makes products discoverable and transactable inside AI assistants like ChatGPT, Claude, Gemini, and Perplexity while brands keep control of pricing and margins.
Memory-first stateful agent platform with an open-source runtime, persistent agents, context repositories for knowledge grounding, model-agnostic support, and a cloud-hosted path for AI developers.
A headless browser engine written from scratch in Zig for agents: ~11x faster and ~9x lighter than headless Chrome, CDP compatible with Playwright and Puppeteer, open source with a drop-in managed cloud. The engine layer of the agent browser stack; currently beta.
AI native identity security and governance platform that maps and governs human, non-human, and AI agent identities in real time, with an autonomous remediation agent, Autopilot.
Open source AI gateway and Python SDK giving one OpenAI compatible interface to more than a hundred model providers, with keys, budgets, routing, and self hosting.
Data framework for building RAG pipelines and data agents with LlamaParse document ingestion and LlamaCloud managed platform.
TypeScript agent framework with evals, workflow orchestration, observability, and Mastra Studio control plane, with dual licensing.
End to end platform to simulate, evaluate, and observe AI agents across the lifecycle, with a built in gateway to a thousand plus models.
Open source memory layer that gives AI agents persistent, personalized recall across sessions through a simple add and search API, cutting token costs.
Open source MCP integration platform and access control plane that connects any AI model to 1,000+ tools with serverless hosting, unified auth, RBAC, and audit logs.
Attacker-aligned AI security platform running continuous automated red teaming against complete AI systems: reconnaissance maps the production attack surface (guardrails, system prompts, tools, shadow AI), then thousands of MITRE ATLAS and OWASP-mapped attacks test LLMs, agents, and multimodal models, including chained exploits, with runtime protection in production. Developer-native deployment via GitHub Action, CLI, APIs, and Burp Suite against any inference endpoint. Lancaster University spinout, 11 PhDs, SOC 2 Type II, $11.6M raised, 2025 Cybersecurity Excellence Award winner.
Python native serverless cloud for AI, with sub second cold starts, per second GPU billing, and isolated sandboxes for running untrusted agent code at scale.
Enterprise platform on the open source OpenRewrite engine that runs deterministic refactoring recipes across thousands of repositories, with the Moddy multi repo AI agent, Prethink codebase context for coding agents, and an MCP server exposing recipes as tool calls.
Agent trust platform that unifies data and agent observability, so enterprise teams can monitor, troubleshoot, and improve production AI systems from the pipelines feeding agents to the outputs they produce.
GTM telemetry and Customer Brain layer that auto captures every customer interaction into CRM, data warehouse, and AI apps to give agents trustworthy revenue data.
AI native web development platform where developers and AI coding agents build and deploy together, whose Agent Runners bring Claude Code, Codex, and Gemini into the dashboard with full production context, sandboxed execution, and human approved previews, alongside an AI Gateway, MCP server, and observability.
Cloud platform whose Neurelo Connect gives AI agents secure, deterministic, real-time access to PostgreSQL, MongoDB, MySQL, and ClickHouse via auto-generated REST and GraphQL APIs and MCP.
Agent payments infrastructure treating agents as both buyers and sellers, with per agent wallets and DIDs, cryptographically signed append only metering, and usage, outcome and value based pricing in one system.
Market-leading independent enterprise AI and agent security platform: discovery and posture (AI-SPM), Agent Access Control (tool-level governance of agents and MCP servers), runtime AI Detection and Response across prompts, tool calls, MCP, and agent-to-agent traffic, plus continuous AI Red Teaming. Covers homegrown, SaaS, and developer-machine agents. The leading independent counterpart to Zenity.
The identity layer extended to agents: Okta for AI Agents makes each agent a first class identity with its own lifecycle rather than one shared service account, and discovers unsanctioned agents across the estate.
Runtime governance and trust layer for enterprise AI agents that enforces identity, authorization, and policy at the point of execution, scores risk against the OWASP AIVSS framework, and produces tamper proof cryptographic Proof Certificates, dropping into Temporal, LangChain, Mastra, and other runtimes as a plugin.
Unified API and marketplace routing agents to 400 plus models through one OpenAI compatible endpoint, with failover, cost controls, and pass through pricing.
Runtime AI application defense platform protecting every layer of live cloud and AI applications through discovery, detection, and defense, deployed via single-step Helm inside the customer's own Kubernetes cluster with zero instrumentation. Agent Protector (Feb 2026) adds agentic security: prompt-to-tool-to-memory tracing, intent analysis, continuous runtime re-authorization of tool calls, and memory poisoning protection, integrating with LangGraph, CrewAI, n8n, and the ChatGPT Agents SDK. Also ships AI Gatekeeper, MCP Gateway, and open-source Woodpecker red teaming. The only vendor in six Gartner AI security reports.
Open source LLM and agent observability and evaluation platform from Comet, with tracing, LLM as a judge metrics, guardrails, and an agent optimizer.
AI native predictive SecOps platform (Predict & Prevent) that replaces or augments legacy SIEM with parserless ingestion, generative XDR, agentic triage, and predictive analytics.
AI-native integration infrastructure that gives agents a thousand plus prebuilt actions across one hundred thirty plus apps via a single API or MCP server, with triggers, RAG sync, and workflows.
AI evaluation, guardrails, and agent debugging platform with research grade models for hallucination detection, embedded through an API to catch failures before users do.
Memory infrastructure for AI that uses an identity-based, persistent memory architecture and custom small language models to let enterprises train and deploy their own AI personas, or teammates, grounded in proprietary knowledge.
Voice AI platform built on proprietary speech-to-speech audio foundation models: build, observe, and evaluate reliable agents with ~300ms latency, an adaptive decision system instead of rigid state machines, a system of record, and cloud or on-prem deployment. Seed-stage, oriented to healthcare and insurance.
Unified AI security platform where offense and defense work as one system across the AI lifecycle: discovery and posture (AI-SPM cataloging models, tools, MCP servers, coding agents), a first-class Gartner-recognized red-teaming pillar (RedGraph offensive agentic testing, tool-use and black-box red teaming), runtime guardrails over agentic tool calls and permissions, and governance and compliance. A red-team finding becomes a policy becomes a retest, so protection compounds. Tops the AI-agent-security cluster on the strength of its offensive-testing loop.
Open-source framework for building real-time voice and multimodal AI agents.
Developer first integration platform whose 3,000 app catalogue doubles as agent tooling, exposing 10,000 prebuilt tools through a mature MCP server with managed OAuth, plus an embeddable toolkit for putting integrations inside your own agent.
LLM Gateway and governance platform with MCP Gateway support, audit logs, routing, and enterprise security/compliance. Infrastructure for platform teams managing LLM and agent traffic.
Framework agnostic control plane for governing an AI agent portfolio with identity, quality gates, cost attribution, and lifecycle governance.
Open infrastructure for training and running AI agents, pairing a global GPU marketplace and inference API with Lab, an end to end platform for reinforcement learning, evaluation, and deployment across more than two thousand five hundred open environments.
Open-source Python agent framework with strong tooling, model flexibility, and observability via Logfire.
Agentic automated testing platform and managed service, Coverage as a Service, where AI agents map an app and generate Playwright and Appium tests while full time human QA engineers build, run, and maintain the suite with a Zero Flake Guarantee, delivering eighty percent plus E2E coverage integrated into CI.
AI agent and workflow platform built around human approval gates as a first class primitive, with built in GPT-5.1, Claude 4.5 Opus and Gemini 3 Pro, native data tables and all integrations included on every plan.
Enterprise platform for autonomous AI red teaming, runtime guardrails, and continuous AI security across LLMs, agents, and MCP, run on a three-phase loop: discover and build an AI BOM, red-team, then deploy adaptive guardrails calibrated from results. ARTEMIS profiles and attacks like a human red-teamer, chaining multi-stage exploits across integrations and visualizing attack paths, drawing on 15M+ attack patterns with multi-modal and multi-lingual coverage mapped to OWASP, NIST, and MITRE. Black-box, CI/CD-integrated, 270+ vulnerability types; publishes open-source tooling and original AI-threat research.
Code first durable runtime for agents shipping as a single binary: every step journaled for crash recovery, Virtual Objects for per session state, approval pauses lasting months, and rollback of in flight executions.
Rime is enterprise text to speech infrastructure, not a full agent, providing conversational voice models that power high volume phone agents for brands like Domino's, with on premises deployment.
Agentic commerce infrastructure whose Universal Checkout API turns a product URL and tokenized payment into a confirmed order on any merchant through AI browser automation, covering fifteen thousand plus stores with high reliability, enforced spend controls, and a companion Returns and Product Data API.
Continuous Identity platform delivering dynamic, context aware authorization and zero standing privilege for human, non human, and AI agent identities, with a built in MCP Gateway governing what tools agents can use; being acquired by CrowdStrike in a deal announced January 2026.
Shared context infrastructure for AI-native teams that captures decisions, intent, and history from conversations, chats, and coding sessions and feeds it as persistent, structured memory into every human and AI agent so they stay aligned.
Agentic product information platform whose autonomous agents enrich, translate, optimize, and distribute catalog data, chaining multi step actions with a review gate and an MCP server.
Omnichannel AI agent platform for customer service, built on Sendbird's communications APIs, with persistent long term memory across chat, voice, SMS, email, and social.
Context layer for AI agents that compiles enterprise knowledge into a governed, verified source of truth and scores agent responses against it, with an AI visibility benchmarking product.
Endpoint security leader turned agentic: Purple AI runs zero click autonomous investigations that deliver a verdict with a full evidence chain, while Hyperautomation executes response inside pre approved policies.
Commerce platform turned agentic surface: co-author of the Universal Commerce Protocol with Google, four MCP servers live on every store by default, and mandatory agent profiles that decide what each agent is permitted to do.
Enterprise agentic AI operating system for building, orchestrating and governing multi agent systems across cloud, on premises and air gapped environments.
Identity first payment rail for agents: KYA vets an agent and issues signed credentials encoding who built it and which human authorised it, while KYAPay settles in stablecoin without cards at the agent to merchant edge.
Full stack voice AI platform combining Atoms, a no code voice and chat agent builder handling conversations in more than twenty languages, with its own co optimized models: Lightning text to speech at roughly one hundred millisecond latency and Pulse speech to text at sixty four millisecond first transcript.
Registry and hosting platform for thousands of MCP servers, with local CLI install, one click hosting, and Toolbox, a meta MCP that routes agents to the right tools.
Multi-agent operating system for orchestrating and deploying AI agents at scale.
Enterprise iPaaS repositioned as the Agentic Integration Company, letting teams build and run low-code LLM agents on top of thousands of prebuilt connectors, with MCP support and hybrid deployment.
Behavioral data platform and customer context layer that collects, validates, enriches, and delivers real time event level data to a company's own warehouse, lake, or stream, grounding AI agents and agentic analytics in governed, high quality first party data.
Speech to text and text to speech layer that voice agents run on, plus Flow, its own voice agent platform, with cloud, on premise, on device and VPC deployment and SOC 2 Type II certification.
Enterprise MCP platform (built on open source ToolHive) that runs, governs, and secures MCP servers and agent skills in isolated containers, Kubernetes native and self hosted, from the Kubernetes co creators.
MIT licensed open source browser automation framework giving act, extract, observe and agent primitives, letting developers mix natural language and deterministic code, with action preview, caching and MCP access from any model.
Open source browser API for AI agents that runs cloud or self hosted Chromium sessions with anti detection, session persistence, and a live session viewer.
Agentic-first AI security platform securing agents across their lifecycle through three modules: Discover AI (inventory of agents, tools, and MCP servers with shadow-usage detection), Ascend AI (continuous adversarial testing on every deployment, mapped to OWASP LLM Top 10, MITRE ATLAS, and the EU AI Act), and Defend AI (sub-second runtime blocking of prompt injection, agent manipulation, and regulated-data leakage). Single-hook install, ISO 27001 and SOC 2 certified, ~$85M raised, customers include Comcast, Fortinet, Snowflake, and Deloitte.
Co-author of the Agentic Commerce Protocol and the payments incumbent of agentic commerce: the Shared Payment Token lets an agent initiate payment without seeing buyer credentials while the merchant stays merchant of record.
Real time web search, extraction, crawling, and research API built for AI agents, returning clean LLM ready content that keeps agents grounded.
Governance platform for agentic AI: discover, vet, and continuously monitor third party AI tools and agents, with compliance controls for regulated industries.
Cloud execution platform for coding agents you already use, running Claude Code, Codex and Cursor across repos triggered by Linear, Sentry, Datadog and Slack signals, self hostable in your own VPC.
Durable execution platform whose event history replay lets long running microservice and AI agent workflows resume exactly where they failed, available as open source self hosted software or managed multi region cloud.
Open scheduling infrastructure that gives any AI agent reliable calendar scheduling over MCP, A2A, and REST, with atomic booking and deterministic time logic.
Composable AI orchestration platform whose Lemma product lets enterprises build and run proprietary agents and workflows on an extended serverless workflow engine, with native human in the loop and tool calling, strong governance, and VPC or on premise deployment.
Platform to build, deploy, and run AI agents from a prompt, with built in RAG, tools, and one link MCP connectivity to thousands of services.
Maintainer of OpenLLMetry, the Apache 2.0 OpenTelemetry standard for LLM observability, plus a managed platform adding dashboards, evals and reproducible test cases from production failures, deployable air gapped.
Enterprise automation and AI agent platform with MCP-native integration capabilities.
Multi agent security platform that secures a company's own AI agents across their lifecycle, using specialist scan, judge, mitigate, and evaluate agents to catch and fix threats like prompt injection, tool misuse, and data exfiltration.
Open source TypeScript platform for durable AI agents and background workflows with no execution timeouts, checkpointed crash recovery, native human in the loop, an official MCP server, and managed, self hosted or bring your own cloud deployment.
Enterprise AI gateway and MCP gateway unifying 250 plus models with routing, guardrails, observability, and governance across SaaS, VPC, and air gapped deployments.
Millisecond compute layer that runs AI agent sandboxes and headless browsers as strongly isolated microVMs, with instant boot, checkpoint and fork, and scale to zero.
Voice agent platform for building, testing, and deploying phone and web voice agents: telephony infrastructure, tool calling, real-time monitoring, and self-serve pricing for developers.
Agent infrastructure that gives AI agents access to virtual chips, hardware knowledge, and physics simulation via a single API and MCP, so they can build, run, and test firmware without hardware.
Agent builder and evaluation platform with workflow orchestration, observability environments, model flexibility, and a free-tier entry, for product teams and AI developers building and managing production agents.
Vocode is an open source developer framework for building voice agents on any AI stack, offering Python and Node libraries, a hosted calling service, and full model flexibility.
Agent analytics platform, the Amplitude for agents, whose provider agnostic SDK turns user to agent conversations into structured analytics, automatically detecting intents, corrections, and resolutions and tying agent behavior to business outcomes so whole product teams can measure and improve agents without reading traces.
Agent and LLM observability, evaluation, and guardrails from Weights and Biases, with session aware tracing, LLM as a judge scoring, and safety scorers.
Distribution and compliance infrastructure for selling financial services through AI, with a free open source SDK to build agents that quote inside ChatGPT, Claude, and WhatsApp, plus paid compliance and analytics modules.
Open source code first workflow orchestration platform turning Python, TypeScript, Go, SQL and Rust scripts into auto generated UIs, scheduled jobs, webhook APIs and DAG workflows, with approval gates for AI orchestration and full self hosting.
Unified AI security and governance platform applying intent-based behavioral controls at the network layer: analyzes the meaning behind each prompt to block multi-turn attacks and contextual jailbreaks, monitors which agents are active and what MCP servers, tools, and data they touch, and connects human and agentic identities for explainable agent actions across both workforces. Deploys on-premise, in a cloud sandbox, or in a VPC. Over $85M raised (Sound Ventures, GV, Qualcomm, Samsung), 500% ARR growth, and production customers among the largest public enterprises.
First end-to-end security and governance platform purpose-built for AI agents: Observe (discovery and observability), Govern (AI Security Posture Management), and Defend (detection and response) across Copilot Studio, Agentforce, Bedrock, Azure AI Foundry, Vertex AI, and ChatGPT Enterprise, with intent-aware runtime enforcement. Named Gartner's company to beat in AI agent governance.
Memory and context engineering platform for AI agents built on a temporal knowledge graph that tracks how facts change over time.
Bootstrapped French multichannel outbound platform with three named agents, a ten provider enrichment waterfall, an official MCP server exposing sequences that execute, and forty plus free Claude skill files.
Enterprise AI control layer from the Nord Security founders pairing an AI Gateway, one secure endpoint routing more than two hundred models with caching, fallbacks, RAG, and spend controls, with a governed AI Workspace where employees chat and build reusable agents under guardrails and full logging.
Backend as a service and runtime for AI agents, providing memory, a 2,000 plus tool and MCP repository, multi agent orchestration, and governed deployment.