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Database of Platforms (PaaS) Companies

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


Morf Health

Morf Health

Workflow automation for healthcare providers

Monto

Monto

Salary on-demand platform for Latin America

ProjectPro

ProjectPro

We are a work-acceleration platform - we help Data Scientists get…

Langfuse

Langfuse

Open source LLM engineering platform

Mayan

Mayan

A growth automation platform for Amazon sellers

1stCollab

1stCollab

Performance-Optimized Influencer Marketing

autone.io

autone.io

Inventory management SaaS for Retail & Consumer brands

ShortLoop

ShortLoop

AI Phone Calls For Your Business

Dots 💸

Dots 💸

Developer friendly drop in payouts infrastructure

Unfurl

Unfurl

A virtual food hall that delivers

Provision

Provision

Ironclad for construction

Teleport

Teleport

The easiest, most secure way to access all your infrastructure

Edyst

Edyst

Edyst is a peer-to-peer online learning platform where students learn…

Tasker ai

Tasker ai

Building AI agent automation layer of the internet

OneShop

OneShop

List on multiple resale marketplaces

Aqua

Aqua

The Modern Way for Financial Advisors to Put Their Clients into Alts

Dots 💸

Dots 💸

Developer friendly drop in payouts infrastructure

Mystic

Mystic

Low latency API to run and deploy ML models

Remi Labs

Remi Labs

Simplifying roofing for homeowners, roofers and enterprises.

Pillar

Pillar

All-In-One Creator Store

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I've discovered an outdated/inaccurate company profile here.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If you spotted an outdated/inaccurate company profile, please do not hesitate to report it to us via the contact page here — our team will have it rectified within the day.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