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Database of Platforms (PaaS) Companies

Filter and search through our comprehensive database of Platforms (PaaS) companies.


Unfurl

Unfurl

A virtual food hall that delivers

Langfuse

Langfuse

Open source LLM engineering platform

Gather

Gather

Building a better way to meet online.

Paragon

Paragon

The embedded integration platform for SaaS apps.

Monto

Monto

Salary on-demand platform for Latin America

Panorama Education

Panorama Education

Improving education for every student.

Mezmo

Mezmo

Observability platform to control all of your log data

Stackup

Stackup

Stackup helps businesses manage their crypto assets.

Aqua

Aqua

The AI-Native Turnkey Alternative Investment Platform (TAIP)

Verse Medical

Verse Medical

Software platform for in-home healthcare

Byterat

Byterat

Ohm helps engineering labs develop better products faster, with AI.

Taplytics

Taplytics

Feature Flag Management Built for Developers

SciPhi

SciPhi

AI research lab automating all of investing

Carbonfact

Carbonfact

Decarbonizing the fashion industry

Tasker ai

Tasker ai

Your AI co-worker

Glimpse

Glimpse

Glimpse is the system of action for CPG retail operations

TeamOut

TeamOut

Online marketplace for team retreat venues

Treasury Prime

Treasury Prime

Embedded banking software platform and marketplace

VectorShift

VectorShift

AI Operating System for Private Market Investors

Sanvivo

Sanvivo

Shopify for pharmacies in Europe

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I've discovered an outdated/inaccurate company profile here.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If you spotted an outdated/inaccurate company profile, please do not hesitate to report it to us via the contact page here — our team will have it rectified within the day.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