Protege
$30 M Series A from a16z to Unlock Access to Data for AI Development The Series A extension follows rapid adoption across healthcare and media backs licensed real-world data for AI builders for technical teams.
Market Map
early-stage AI companies across consumer, healthcare, infrastructure, and more.
Read the memo
Open social graph infrastructure for AI products
Tapestry provides open social graph infrastructure for consumer and agentic products.
Glif is a creative super agent for generating images, videos, audio, social posts, ads, and other media from one chat interface
Glif is a creative super agent for generating images, videos, audio, social posts, ads, and other media from one chat interface.
Agentic spreadsheets for finance teams
Meridian is building an agentic spreadsheet for auditable financial modeling workflows.

AI underwriting for commercial insurance
Kalepa is reimagining the trillion-dollar commercial insurance industry with AI-driven underwriting, using machine learning to score and price commercial risks that have traditionally been managed manually in Outlook.
Agents that orchestrate enterprise workflows
Emergence AI's 'Agents Creating Agents' framework chains and deploys swarms of autonomous agents that spin up new agents on the fly to orchestrate complex enterprise workflows.
Series A and earlier, focused on New York.
Where early-stage NYC AI companies are clustering.
A group of NYC AI companies is selling to teams that still handle core work through calls, email, spreadsheets, and local know-how. The buyer is not a software admin; it is the person responsible for orders, permits, underwriting files, field operations, or customer follow-up. The work includes restaurant distributors taking orders by phone, local governments handling resident requests and permit backlogs, commercial insurers reviewing submission packets, and industrial teams tracking facility issues. This matters now because modern models can read messy messages and records well enough to help teams that never had clean software systems.
The most crowded buyer in the map is the finance team: investors, revenue leaders, accounting teams, and fund operators. They all spend hours turning documents, contracts, invoices, spreadsheets, and market records into decisions. The examples range from analysts reviewing filings and transcripts, to finance teams reading contracts for invoices and revenue recognition, to accountants migrating ERP data, to funds organizing diligence work. It matters now because the data is already digital, the cost of mistakes is high, and teams will pay for faster answers they can check.
Engineering and product teams are moving from demos to production LLM features, and the work gets harder once users depend on the output. The buyer is the team shipping AI into an app, not the person casually testing a chatbot. The work includes testing prompts before release, tracking versions, running evals, giving coding agents safe cloud sandboxes, orchestrating multiple agents, and monitoring models in production. It matters now because failures are quieter than normal software bugs: the feature can still run while the answer gets worse.
New entries
New entries from the early-stage NYC AI map.
No recent additions yet.
New company notes will appear here once the map has enough recent data.
Market memo
Three notes from the full early-stage NYC AI map and latest additions.
View pattern libraryGovWell ($25M) and Didero ($30M) both closed Series A rounds selling to buyers most enterprise AI skips, local permitting offices and manufacturer procurement teams. Rebar targets HVAC suppliers on quoting. The pattern: one recurring document type, one department, no platform pit.
Sohar Health handles eligibility at intake, Amperos Health ($16M Series A) attacks denial management mid-cycle, and Joyful Health recovers revenue after claims fail. Three different buyers inside one department's budget, none competing for the same task or the same line item.
Protege licenses real-world data to model builders before training begins; Daytona sells stateful sandbox environments to SRE teams running production systems. Qualitate adds a third shape, structured expert discussions turned into primary research data. Same layer label, three n.
$30 M Series A from a16z to Unlock Access to Data for AI Development The Series A extension follows rapid adoption across healthcare and media backs licensed real-world data for AI builders for technical teams.
$8.7M Seed from Union Square Ventures backs an applied AI lab building Cofounder, a system of agents designed to automate business operations full-stack and enable one-person, agent-native companies for technical teams.

Series A from Bessemer Venture Partners Our Post Business Wire Announcing our Series A and led by Bessemer Venture Partners Our Post Business Wire Trusted by Meet our Customers Meet our Customers Meet our Customers Trus.
$30M Series A from our team backs AI procurement agents for manufacturers for revenue teams.
Editorial picks
A curated set of early-stage NYC AI companies with strong products, clear buyers, or category momentum.
Agents that orchestrate enterprise workflows
Emergence AI's 'Agents Creating Agents' framework chains and deploys swarms of autonomous agents that spin up new agents on the fly to orchestrate complex enterprise workflows.

AI underwriting for commercial insurance
Kalepa is reimagining the trillion-dollar commercial insurance industry with AI-driven underwriting, using machine learning to score and price commercial risks that have traditionally been managed manually in Outlook.

Open social graph infrastructure for AI products
Tapestry provides open social graph infrastructure for consumer and agentic products.

AI workflows for local government operations
AI workflows for local government operations.
Social graph matching for Gen Z dating
AI social-graph AI to match users only with friends or friends-of-friends, eliminating stranger anxiety and rejection fear.
Warm introductions inside iMessage
Series is an AI-powered social networking platform that operates entirely inside iMessage, using conversational AI to facilitate warm introductions across Gen Z and professional users.
Market sections
Explore early-stage NYC AI by buyer, workflow, and product surface.
AI-native research, risk, fund operations, compliance, and trading workflows built for New York's financial ecosystem.
Legal, regulatory, KYC, AML, policy, and compliance products where AI handles high-stakes review work.
AI-native security operations, threat detection, exposure management, and human-layer defense built in New York.
AI creative tools, ad platforms, synthetic media products, brand agents, and consumer insight engines.
Clinical operations, payer workflows, patient communication, healthcare payments, and AI front-office products.
Drug discovery, computational biology, lab automation, and AI-native biotech infrastructure built in New York.
Consumer products where AI shapes discovery, social connection, personalization, relationships, and everyday coordination.
Runtime, orchestration, observability, browser automation, workflow agents, and developer infrastructure for agentic systems.
LLM application development, evaluation, prompt tooling, deployment workflows, and production AI engineering platforms.
AI products for sales, support, revenue operations, insurance distribution, customer communication, and go-to-market workflows.
Data products, document intelligence, knowledge graphs, multimodal understanding, and memory layers for AI-native work.
Personal AI assistants with persistent memory, managed credentials across consumer services, and user-controlled agency on behalf of an individual.
News brief
NYC AI funding, launches, and mapped-company signals worth scanning.
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