AI market data you can check.

Falcoscan tracks 7,031 AI companies: what each one does, where it is based, how its market is moving and whether it is still operating. Here is what is in the dataset, and how it is kept honest.

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One company record

{
  "slug": "deepmind-alphafold",
  "name": "DeepMind AlphaFold",
  "tagline": "AI protein structure prediction for drug discovery",
  "category": "Healthcare",
  "website_url": "https://alphafold.ebi.ac.uk",
  "opportunity_score": 88,
  "saturation_score": 6,
  "growth_signal": "hot",
  "trend_direction": "up",
  "wrapper_risk_score": 10,
  "pricing_type": "free",
  "has_free_tier": true,
  "has_api": true,
  "founded_year": 2021,
  "funding_stage": "public",
  "hq_country": "United Kingdom",
  "operating_status": null,
  "is_dead": false,
  "rating": 4.9
}

A real record, as the API and MCP server return it.

7,031

AI companies tracked

6,442

still operating

markets, scored nightly

city hubs mapped

589

shutdowns recorded

162

acquisitions recorded

Live figures, refreshed hourly.

Every company, checked before it counts

A company enters the dataset when we can confirm what it does and where it is. Each record carries the same fields, so any two companies can be compared.

Identity

What it is

Name, one-line description, market, website and the tags people search it by.

Location

Where it is built

Headquarters country, and city where we can confirm it, checked for every company in the dataset.

Stage

How far along it is

Founding year and the last funding stage we could verify, from pre-seed to public.

Product

How it sells

Pricing model, whether there is a free tier and whether it offers a public API.

Scores

How it compares

Heat, opportunity, saturation and wrapper risk, each 0 to 100, defined on the methodology page.

Status

Whether it is still here

Operating, acquired or shut down, so a list never quietly includes companies that are gone.

29 markets, scored every night

Each market gets three numbers: heat (how much is happening), opportunity (how much room there is) and saturation (how crowded it is). The chart shows where the gap between opportunity and saturation is widest today.

Most room: opportunity minus saturation

Healthcare71

Legal69

3D & AR/VR64

Gaming64

Real Estate63

Research62

Scores are recomputed every night and written to a daily snapshot, so you can see a market heat up or cool down over weeks rather than reading one number in isolation.

Every formula is public. Read the methodology, or open the Market Terminal to compare all 29.

Which companies are moving

Each company carries a momentum label (hot, rising, stable or cooling) and a heat score, so a ranking reflects what is happening now rather than who launched first.

2,013 hot right now

Operating companies we currently rate as hot, across every market.

328 new this month

Companies added to the dataset in the last 30 days, after the same checks as everything else.

Ranked by heat

Sort the whole catalogue by heat, opportunity or saturation, and filter by market, city, stage and momentum.

We record when companies shut down

Most directories list a product forever. We check. Of 7,030 companies checked, 589 had shut down and 162 had been acquired (2026-09-16).

Shut down

Marked as such and kept, so you can see which markets lose companies fastest and why.

Acquired

Recorded separately, because an acquisition is an outcome, not a failure.

Never counted as live

Rankings, counts and alternatives only include companies that are still operating.

Read the report on what died and where it went →

Where AI companies are built

Headquarters are checked for every company and grouped into 19 city hubs. These are the largest.

San Francisco Bay AreaUnited States · biggest market: Coding1,762

SingaporeSingapore · biggest market: Data374

New York CityUnited States · biggest market: Ecommerce252

Greater LondonUnited Kingdom · biggest market: Image168

Tel Aviv-YafoIsrael · biggest market: Security127

Greater BostonUnited States · biggest market: Marketing124

Île-de-FranceFrance · biggest market: Social115

BangaloreIndia · biggest market: Writing107

Explore them on the AI Globe →

Funding stage, and the capital behind each market

For each company, the last funding round we could verify. For each market, an estimated range of the capital raised across it. We do not publish round sizes for individual companies.

Operating companies by stage

Series A24.4% · 1,570

Growth20.1% · 1,295

Bootstrapped19.8% · 1,272

Seed14.9% · 962

Public14.6% · 942

Pre-seed4.5% · 292

Series D+0.7% · 43

Series B0.5% · 30

Series C0.5% · 30

Capital raised, by market (estimated range)

AI Models$1B+ · 45 deals

Coding$1B+ · 38 deals

Agents$200M–$1B · 42 deals

Sales$200M–$1B · 32 deals

Data$200M–$1B · 30 deals

Security$200M–$1B · 28 deals

Healthcare$200M–$1B · 25 deals

Voice$200M–$1B · 24 deals

Watch any company, and see what changed

Members pick the companies they compete with, or invest around, and see them side by side. Heat, momentum and status are recorded every day for every company someone watches, so a change shows up as a change, not as a surprise.

Side by side

Heat, momentum, opportunity, saturation and stage for your own product and its rivals, in one table.

What moved

Heat gained or lost since you started watching, and when a rival turns hot, cools, is acquired or shuts down.

In your workspace

Next to the full ranking, markets, cities and funding, with a panel for any company or market you open.

How we collect it and check it

Three steps, in order. Nothing is published until it has been through the second.

1 · Collect

Public sources

Company websites and product pages, public announcements, and official registries. In Singapore, for example, headquarters are matched against the government’s Startup SG records.

2 · Check

Research and verification

Every company’s headquarters is checked; duplicates and rebrands are merged; and products are checked for whether they still operate. That is how 589 shutdowns and 162 acquisitions were found.

3 · Score

Scored and snapshotted

Scores are recomputed every night and market scores are saved daily, so history builds and any number can be traced to a date.

Makers can submit their products, and corrections from anyone go to one inbox. No company can pay for its scores or its place in a ranking. See the sponsorship policy.

Use it where you work

The same dataset, four ways in.

Workspace

The full ranking, markets, cities, funding and competitor tracking for signed-in members. Open it.

CSV export

Any filtered view, exported for your own models and decks, on paid plans.

REST API

Companies and markets as JSON, for your own systems. See the API.

MCP server

Ask the dataset from Claude, Cursor or your own agents. See MCP.

Data access for teams and platforms

Prove one workflow

Design Partner

Put the data behind one real workflow and see whether it holds up.

✓ MCP server and HTTPS API, one key
✓ 25,000 requests over 90 days
✓ Guided support
✓ Internal use licence

Run one recurring workflow

Annual MCP and API

A maintained intelligence layer your workflow can depend on.

✓ MCP server and HTTPS API, one key
✓ 100,000 requests over the year
✓ Standard support
✓ Internal use licence

Embed at scale

Enterprise

Embedded, customer-facing or high-volume use.

✓ MCP server and HTTPS API, one key
✓ Volume sized to the workflow
✓ Dedicated support
✓ Terms for customer-facing and embedded use

Talk to us

See how Falcoscan can help your team

Start with a free account and the full public dataset, or tell us what you need and we’ll show you the parts that matter to your work.

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