20 NYC startups to know
Agent Infrastructure
Runtime, orchestration, observability, browser automation, workflow agents, and developer infrastructure for agentic systems.
Why this category matters
Agent infrastructure becomes valuable when teams can reliably deploy, test, govern, and improve agents in production workflows.
Startups to know in Agent Infrastructure
Submit a startupPayment infrastructure for open agentic commerce
Merit Systems builds wallets, payment tools, and open protocols that let AI agents discover services, pay for APIs, and transact across the internet.
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Elastic compute built for AI developers
Modal provides serverless cloud infrastructure for AI, letting developers scale inference, training, and agent sandboxes through code without managing the underlying GPU infrastructure.
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AI colleagues for the enterprise back office
Leena AI provides workplace AI colleagues that resolve employee requests and automate HR, IT, and finance workflows through connected enterprise knowledge and systems.
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An executive assistant inside the inbox
Fyxer acts as an AI executive assistant inside Gmail and Outlook, organizing inboxes, drafting responses, and retaining context across professional conversations.
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The web access layer for AI agents
Tavily supplies search, extraction, crawling, and research APIs that give AI agents structured access to current web information for grounding their responses and actions.
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Orchestrate agents, robots, and people
UiPath orchestrates AI agents, software robots, and people across enterprise processes, combining automation development with governance and controls for production workflows.
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A business AI cloud built around enterprise context
Uniphore brings enterprise data, knowledge, models, and agents into a business AI cloud designed for governed deployment across customer service and operational workflows.
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Search and research infrastructure for grounded AI systems
You.com builds search, content, answer, and research APIs that help AI applications retrieve current information and assemble grounded responses from the web.
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AI incident-management platform that monitors, triages, and resolves infrastructure issues for SRE teams
Vibranium Labs builds AI incident-management agents that monitor infrastructure, investigate failures, and coordinate remediation, helping site reliability teams resolve operational disruptions.
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Organizations can move AI workflows into critical operations when orchestration, policy controls, and observability are designed into the same platform
Thread AI provides orchestration infrastructure for building, governing, and operating AI workflows across enterprise systems, with controls for demanding and regulated environments.
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Insurance teams can delegate routine operations to AI coworkers that use their existing tools and adapt to agency procedures without new integrations
Kay.ai automates insurance agency operations by following existing procedures across portals and management systems, handling renewals, certificates, policy checks, and other administrative work.
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General Intelligence Company is an applied AI lab building Cofounder, a system of agents designed to automate business operations full-stack and enable one-person, agent-native companies
The General Intelligence Company develops AI agents to operate businesses autonomously, combining software creation, business execution, and research into increasingly capable systems.
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Verified autonomy for enterprise work
Emergence develops agent infrastructure combining memory, coordination, verification, and bounded autonomy, helping enterprises deploy dependable AI systems in complex operational environments.
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Applied AI systems for complex enterprise operations
Distyl develops and deploys AI systems for large organizations, combining applied research, reliable execution, and tailored products to rework critical operational workflows.
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Composable sandbox infrastructure for AI agents that need fast, stateful execution environments
Daytona provides secure, elastic cloud environments for AI agents to run generated code, use tools, and execute stateful development workflows.
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Governed context for enterprise AI agents
Credal connects enterprise systems to governed MCP servers and AI agents, preserving access permissions and business context across internal workflows and chat interfaces.
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Channel3 is building a database of every product on the internet, giving developers and AI agents API access to a unified, semantically-matched product catalog
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Organizations can connect AI agents to the systems where work happens through infrastructure designed around safe deployment and compliance requirements
Brightwave builds infrastructure for safely connecting AI agents to workplace systems, with a focus on compliance as agents move from conversation into operational work.
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Enterprise data becomes decisions and actions
Aily Labs connects fragmented enterprise data to decision agents that recommend and execute actions across finance, research, manufacturing, supply chains, and commercial operations.
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Expert work grounded in organizational knowledge
Accrete builds AI systems that capture organizational knowledge and complete expert workflows, alongside mission intelligence software supporting government analysis and operational decisions.
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