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Database of Companies

Filter and search through our comprehensive database of companies.


Betterhalf

Betterhalf

India’s first and only marriage super app

Volta Labs, Inc.

Volta Labs, Inc.

Unlocking the utility of genomics for the world.

Prodigal

Prodigal

Lending Intelligence Software

Moonvalley

Moonvalley

Building the next generation AI creative studio

Mobot

Mobot

Mobot is a QA-as-a-service platform using actual mechanical robots

PostEra

PostEra

Medicinal Chemistry powered by Machine Learning

IMT Care

IMT Care

Disrupting Indian Insurance space by empowering distrubutors

Flockjay

Flockjay

AI-driven learning, content, and coaching for sales teams

Diligent

Diligent

AI agents for fintech risk and compliance operations

Buildt

Buildt

Fully Agentic SWE

Chima

Chima

Building infrastructure tools to help large companies customize their…

Chariot

Chariot

A payment network connecting nonprofits to the $250B in DAFs

OctiFi

OctiFi

Buy Now Pay Later for Southeast Asia

Tavus

Tavus

Building the human layer of AI

GrubMarket

GrubMarket

AI-powered technology enabler and digital transformer of American…

UrbanKisaan

UrbanKisaan

Reimagining Food through Farming

Posh

Posh

Making sustainable batteries

Ribbon Health

Ribbon Health

Health enterprise API for data on doctors, insurance, costs, & quality

HockeyStack

HockeyStack

The operating system for inbound B2B revenue

Porter

Porter

Easiest way to deploy on AWS/GCP/Azure

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I've discovered an outdated/inaccurate company profile here.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If you spotted an outdated/inaccurate company profile, please do not hesitate to report it to us via the contact page here — our team will have it rectified within the day.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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