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Database of Companies

Filter and search through our comprehensive database of companies.


NimbleRx

NimbleRx

On-demand prescription delivery.

Confident AI

Confident AI

Open-Source Unit Testing for LLM Applications

Mutiny

Mutiny

AI for Enterprise GTM

Infer

Infer

Personalized AI Voice Agents for lead qualification for insurance &…

Thunder Compute

Thunder Compute

Launch GPU instances in one click for 80% less

Reworkd

Reworkd

The simplest way to extract web data at scale

Paladin

Paladin

We deploy autonomous drones to 911 calls. Our software gives first…

Clearly AI

Clearly AI

Automate security and privacy reviews

Srcbook

Srcbook

Build and publish web apps in minutes. No coding required.

Stream

Stream

AI-Powered Medical Document Review for Workers' Comp

Arva AI

Arva AI

AI Agents to scale AML, KYB and KYC operations

Caddie AI

Caddie AI

Search & Answers Superbar for E-Commerce

Kastle

Kastle

AI agents for mortgage servicing

Flair Labs

Flair Labs

The world's first digital concierge for real estate and lending

Dime

Dime

Dime automates administrative busywork at healthcare clinics

Sample

Sample

Flexible systems for clinical reasoning.

Depot

Depot

Build faster. Waste less time.

Benchmark

Benchmark

Decision infrastructure for investment firms

Syntra

Syntra

Agentic billing system for specialty medical practices.

Olive Legal

Olive Legal

Powerful quantitative forecasting models

Frequently Asked Questions

What is the purpose of this database?

Our Companies Database is a user-friendly database to search, filter, and discover companies around the world by their industry, size, funding stage, and more.

How often is data of companies updated?

Data on companies in this database updates once every few weeks (on average once a month).

I've discovered an outdated/inaccurate company profile here. How do I report it?

If you spotted an outdated/inaccurate company profile, please do not hesitate to report it to us via the contact page here — our team will have it rectified within the day.
In normal instances, jobs older than 30 days are automatically flagged as 'expired' by the system.

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