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(Page 91) Database of Companies

Filter and search through our comprehensive database of companies.


Aqua

Aqua

One stop shop to find, invest, and service an alternative investment for RIAs, IBDs, and institutions.

Ultra

Ultra

Practical, general-purpose robots for repetitive industrial tasks

Paradigm

Paradigm

A reimagined workspace with AI at its core

Kapacity.io

Kapacity.io

Reducing energy costs & emissions in buildings.

Skio

Skio

Subscriptions for Shopify

Nucleus

Nucleus

Neosync is an open-source anonymization and synthetic data platform.

Able Health

Able Health

Able Health gets doctors paid more for higher quality care

TrueClaim

TrueClaim

Transparent, AI-powered healthcare TPA.

Swayable

Swayable

Swayable predicts consumer opinion and the impact of content

Trébol

Trébol

Your back-office, on autopilot

Pasito

Pasito

Personalized employee benefits communication and AI support

AlgoTest

AlgoTest

Ecosystem for options trading in India

Lumify

Lumify

Super app for healthcare workers

SalaryBox

SalaryBox

Gusto for India

Hubla

Hubla

All-in-one platform for creators to sell courses and subscriptions

Siglo

Siglo

Home Internet for urban Latin America

voize

voize

App for healthcare workers to fill out forms using speech

Oto

Oto

Digital program for tinnitus

SiPhox

SiPhox

Wearable and At-Home protein monitoring with silicon photonic chips

Unlayer

Unlayer

Unlayer makes embeddable email and web editing software.

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I've discovered an outdated/inaccurate company profile here.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If you spotted an outdated/inaccurate company profile, please do not hesitate to report it to us via the contact page here — our team will have it rectified within the day.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