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Database of Platforms (PaaS) Companies

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


Kaso (formerly Elkaso)

Kaso (formerly Elkaso)

B2B platform connecting restaurants with food suppliers

Dapi

Dapi

Your AI co-worker

Vimmerse

Vimmerse

Bring your photos to life with Vimmerse

PocketSuite

PocketSuite

PocketSuite makes it easy for your clients to book and pay you

SFOX

SFOX

Crypto-currency trading platform.

Hyper Online

Hyper Online

Social avatar platform for VTubers

Data Mechanics

Data Mechanics

Spark-on-Kubernetes Data Engineering Platform

Paragon

Paragon

The embedded integration platform for SaaS apps.

Nest Genomics

Nest Genomics

Software to launch and integrate genetics into clinical care

Zippi

Zippi

Payment Platform for LatAm Micro and Small Businesses

Intuned

Intuned

Reliably integrate with websites that don’t have official APIs

Unfurl

Unfurl

A virtual food hall that delivers

Mezmo

Mezmo

Observability platform to control all of your log data

Rosebud AI

Rosebud AI

Vibe code games.

Trayd

Trayd

A construction payroll platform designed for same-day pay.

Gather

Gather

Building a better way to meet online.

Ploomber

Ploomber

Heroku for AI

Varos

Varos

AI Business Analysts to gather requirements and optimize processes

Middleware

Middleware

AI-based full stack observability platform

ElectroNeek

ElectroNeek

Robotic Process Automation and Document Processing Platform

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I've discovered an outdated/inaccurate company profile here.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If you spotted an outdated/inaccurate company profile, please do not hesitate to report it to us via the contact page here — our team will have it rectified within the day.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