10 AI Automation Companies in New York City to Know

New York City is no longer just a finance and media town. It now hosts some of the most valuable AI automation companies in the world.

Table of Contents

Key Takeaways

AI automation replaces manual tasks using models that read context, make judgments, and adapt.
New York advantage: domain talent, capital, regulators nearby, and enterprise customers that drive industry-specific solutions.
Choose vendors by problem fit: pick a single repetitive process, match industry expertise, verify maintenance needs, and run a paid pilot.
Common failure modes: automating broken workflows, removing human checkpoints, buying hype, and skipping change management.

Some are public giants with thousands of enterprise clients. Others are fast-growing startups that turned niche problems into billion-dollar businesses.

This guide covers 10 AI automation companies in New York City. You will learn what each one automates, who it serves, and where it falls short. By the end, you should know which names belong on your shortlist.

What Is an AI Automation Company?

An AI automation company builds software that completes work humans used to do by hand. That work might be reading invoices, screening transactions, researching prospects, or closing the books.

Older automation followed fixed rules. If a field moved on a form, the bot broke. Today’s tools use AI models that read context, make judgment calls, and adapt.

Most vendors now describe their products as “agentic.” In plain terms, an AI agent receives a goal, plans the steps, uses your software, and asks a human when it is unsure.

Why New York City Has Become an AI Automation Hub

New York’s advantage is its customers. Banks, insurers, law firms, hospitals, and accounting firms all sit within a few subway stops.

These industries run on documents, compliance checks, and repetitive review work. That makes them ideal buyers for automation.

The city also offers:

Domain talent: Former bankers, accountants, and lawyers who understand the workflows being automated
Capital: Major venture firms and growth investors with active New York portfolios
Proximity to regulators: Useful for companies selling into finance and healthcare
Enterprise buyers: Fortune 500 headquarters that can sign large contracts

The result is a cluster of companies that build for specific industries, not generic chatbots.

How We Picked These 10 Companies

We focused on companies headquartered in New York City that sell AI-powered automation to businesses. Each one had to show recent product activity and real customer adoption.

We looked at:

What the product automates in practice
Who the core customers are
Funding, revenue, or analyst recognition, where publicly reported
Clear gaps or risks buyers should weigh

One caveat matters. Valuations and customer counts mostly come from company press releases and funding reports. Treat them as signals of momentum, not proof of results for your business.

Quick Comparison: AI Automation Companies in NYC

Company	Best For	What It Automates	Company Stage
UiPath	Large enterprises	Cross-system workflows with agents, robots, and people	Public (NYSE: PATH)
Dataiku	Data and IT teams	Building and governing AI agents and models	Private, late stage
Hyperscience	Insurers, government, banks	Document-heavy back-office processes	Private, late stage
Ramp	Finance teams of all sizes	Expenses, procurement, and accounts payable	Private, late stage
Clay	Sales and marketing teams	Prospect research, enrichment, and outreach	Private, Series D
Rogo	Banks and investment firms	Financial research, modeling, and slides	Private, Series D
Hebbia	Finance and legal teams	Large-scale document analysis	Private, Series B
Basis	Accounting firms	Bookkeeping, tax, and audit workflows	Private, Series B
Tennr	Healthcare providers	Patient referral intake and processing	Private, Series C
Fusemachines	Mid-market companies	Custom AI products and agent builds	Public (Nasdaq: FUSE)

The 10 Best AI Automation Companies in New York City

1. UiPath: The Enterprise Automation Heavyweight

UiPath started in Bucharest in 2005 and moved its headquarters to New York in 2017. It now operates from One Vanderbilt in Midtown and trades on the New York Stock Exchange.

The company built its name on robotic process automation (RPA), meaning software bots that click and type like humans. It has since rebuilt its platform around AI agents. Its Maestro tool coordinates agents, bots, and human reviewers inside one process.

UiPath reported about $1.61 billion in revenue for its fiscal year ending January 2026. In February 2026, it acquired New York-based WorkFusion, which builds AI agents for anti-money laundering and sanctions screening.

Best for: Large companies with many legacy systems and strict governance needs.

Watch out for: Licensing can get complex, and you often need trained developers or a partner to build well.

2. Dataiku: The Platform for Building and Governing AI

Dataiku began in Paris in 2013 and now runs its global headquarters in New York. It gives companies one shared workspace to prepare data, build models, and deploy AI agents.

In March 2026, Dataiku relaunched its product as the “Platform for AI Success.” New tools include Agent Management, which tracks agents even when other platforms built them. Another tool, Cobuild, turns a plain-English request into a visual workflow your team can inspect.

Gartner named Dataiku a Leader in its AI platforms Magic Quadrant for the fifth straight time in 2026.

Best for: Enterprises that want to build many AI use cases in-house with central oversight.

Watch out for: It is a builder’s platform. You still need data talent to turn it into automated results.

3. Hyperscience: Automation for Document-Heavy Work

Hyperscience was founded in 2014 and is headquartered at the World Trade Center. It focuses on intelligent document processing, or IDP. That means reading forms, claims, and handwritten pages, then pulling the right data out.

Its Hypercell platform turns those documents into automated workflows. US government agencies use it at scale, including for benefits programs like SNAP applications.

In September 2026, Gartner named Hyperscience a Leader in its Intelligent Document Processing Magic Quadrant for the second year in a row.

Best for: Insurers, lenders, and public agencies buried in paperwork.

Watch out for: Its value depends on document volume. Small teams with light paperwork may not see the payback.

4. Ramp: AI Agents for Company Spending

Ramp started in 2019 as a corporate card for startups. It has grown into a full finance platform covering expenses, bill pay, procurement, and accounting.

Since July 2025, Ramp has shipped AI agents that enforce spending policy, flag fraud, and process invoices. Its procurement agents handle purchases from request to payment.

In June 2026, Ramp raised $750 million at a $44 billion valuation. Reports in October 2026 said it was raising again at roughly $60 billion.

Best for: Finance teams that want automation built into their card and payables stack.

Watch out for: You get the most value when you move spending onto Ramp’s platform. That switch takes planning.

5. Clay: Automation for Sales and Marketing Teams

Clay was founded in 2017 and is based in New York. It helps sales and marketing teams research prospects, enrich contact data, and personalize outreach at scale.

Users describe a growth goal in plain language. Clay then builds a workflow that pulls data from many sources and flags buying signals. The company also coined the job title “GTM engineer” for people who build these revenue systems.

In September 2026, Clay raised $115 million at a $7.1 billion valuation. It says it serves more than 17,000 customers.

Best for: B2B sales teams and agencies running targeted outbound campaigns.

Watch out for: The learning curve is real. Credit-based pricing can also climb fast if workflows are not tuned.

6. Rogo: AI Analysts for Wall Street

Rogo was founded in New York in 2021 and is based near Union Square. It builds AI tools for investment banks, private equity firms, and asset managers.

The platform researches companies, builds financial models, drafts memos, and creates slides. These tasks eat up much of a junior banker’s week.

Rogo raised $160 million in April 2026 at about a $2 billion valuation. It reports more than 250 institutional clients, including Rothschild & Co, Jefferies, and Lazard.

Best for: Banks and investment firms that want faster deal research.

Watch out for: It is built for finance. Companies outside that world will find better general tools.

7. Hebbia: AI Agents for Deep Document Analysis

Hebbia was founded in 2020 and works out of SoHo. Its main product, Matrix, lets users point AI agents at thousands of documents at once.

The interface works like a spreadsheet. Each row holds a document, and each column asks a question. Analysts can see exactly where every answer came from.

Hebbia raised $130 million in 2024 in a round led by Andreessen Horowitz. Finance firms and law firms are its core users.

Best for: Due diligence, contract review, and research across large document sets.

Watch out for: It is priced for enterprise budgets, so smaller firms may struggle to justify the cost.

8. Basis: AI Agents Built for Accountants

Basis was founded in New York City in 2023. It provides accounting firms with AI agents that handle bookkeeping, tax preparation, and audit tasks.

Its agents learn each client’s needs and work across existing tools like QuickBooks and Xero. The company says it built the first agent to complete a full Form 1065 partnership tax return on its own.

Basis raised $100 million in February 2026 at a $1.15 billion valuation. It reports that roughly 30% of the top 25 accounting firms use its platform.

Best for: CPA firms facing staff shortages and heavy client workloads.

Watch out for: It sells to accounting firms, not to in-house finance teams at regular businesses.

9. Tennr: Fixing Healthcare’s Referral Bottleneck

Tennr was founded in 2021 and is based in New York. It automates the patient referral process for medical practices and specialty providers.

Referrals often arrive by fax, email, or portal in messy formats. Tennr’s own AI models read them, pull out patient details, and route them for action. This keeps patients from falling through the cracks.

Tennr raised $101 million in June 2025 at a $605 million valuation. It also launched Tennr Network, which shows referral status to doctors and patients.

Best for: Specialty practices and medical suppliers handling high referral volume.

Watch out for: It solves one workflow very well. It is not a general healthcare automation suite.

10. Fusemachines: Custom AI Builds for the Mid-Market

Fusemachines was founded in 2013 by Dr. Sameer Maskey and is based in Manhattan. It went public on Nasdaq in late 2025.

The company sells AI Studio, prebuilt AI Engines, and AI Agents, plus hands-on services. Its 2026 focus is retail and real estate clients.

Fusemachines is far smaller than the other names here, with revenue under $10 million. That can be a plus for mid-sized buyers who want attention and custom work.

Best for: Mid-market companies that need a build partner, not just a software license.

Watch out for: As a small public company, it carries more financial risk than the larger vendors.

How to Choose the Right AI Automation Partner

Start with the problem, not the vendor. The best AI automation company for your business is the one built for your workflow.

Use these steps:

Pick one painful process. Choose something repetitive, high-volume, and easy to measure.
Match the vendor to your industry. Rogo, Basis, and Tennr win because they know one field deeply.
Check what your team can maintain. Platforms like UiPath and Dataiku need skilled builders.
Ask for a paid pilot. Set a success metric, such as hours saved or error rate, before you start.
Review data handling. Confirm where your data goes and whether it trains the vendor’s models.

What Doesn’t Work With AI Automation

Many projects stall for predictable reasons. Knowing them saves time and budget.

Automating a broken process: AI makes a messy workflow faster, not better. Fix the steps first.
No human checkpoint: Agents still make mistakes. Keep people in the loop for money, legal, and patient decisions.
Buying for hype: A large valuation says investors are confident. It says nothing about fit for your team.
Skipping change management: Staff need training and a clear reason to trust the new tool.

A real example: a mid-sized accounting firm adds AI agents for monthly close. Without clean client data and a reviewer, the agents simply produce errors faster.

Final Thoughts

AI automation companies in New York City lead in industries where work is document-heavy and regulated. Finance, accounting, healthcare, and sales all have strong local players.

Large enterprises will lean toward UiPath, Dataiku, or Hyperscience. Specialist teams will get faster results from Rogo, Basis, Tennr, or Clay. Mid-sized firms that need hands-on help may prefer Fusemachines.

Whatever you choose, start small, measure honestly, and scale what works.

FAQs

What are the top AI automation companies in New York City?

Leading names include UiPath, Dataiku, Hyperscience, Ramp, Clay, Rogo, Hebbia, Basis, Tennr, and Fusemachines. Each focuses on different workflows and industries.

Which NYC AI automation company is best for small businesses?

Ramp suits small businesses that want to automate spending and payables. Clay works well for small sales teams running outbound campaigns.

What is the difference between RPA and AI automation?

RPA follows fixed rules and breaks when inputs change. AI automation reads context, handles messy data, and adapts to new situations.

How much do AI automation tools cost?

Pricing varies widely. Startups may offer usage-based plans, while enterprise platforms like UiPath and Hebbia use custom contracts.

Are AI agents safe for regulated industries like finance and healthcare?

They can be, with human review and strong data controls. Choose vendors with audit trails and clear policies on how your data is used.