creit.

CREIT / AI Engineering × Talent

Engineering intelligence.Finding the people behind it.

Build with CREITFind talent
01AI Engineering

AI Engineering

From first prototype to production systems, we help companies build practical AI products, agentic workflows and intelligent software.

  • 01AI Products
  • 02AI Agents
  • 03RAG Systems
  • 04LLM Applications
  • 05Machine Learning
  • 06Data Engineering
  • 07AI Infrastructure
  • 08Custom Software
  • 09Product Engineering
02Talent

Technical Talent

Access highly skilled engineers and technical specialists across AI, data, software, enterprise technology and SAP.

  • 01AI / ML
  • 02Data
  • 03Software Engineering
  • 04FDE
  • 05SAP
  • 06Cloud
  • 07DevOps
  • 08Contract-to-Hire
  • 09Permanent Hiring
03Position

The best companies don't need more vendors.
They need better technical capability.

We combines AI engineering, software development and technical talent to help companies move from idea → prototype → production → scale.

04Why CREIT

One partner.
Two ways to move faster.

Most teams stall in the gap between ambition and capability. We close it — with engineers who ship, and hiring that reads technical signal instead of keywords.

01

Idea

Framing the problem worth solving.

02

Build

When you need an engineering team.

03

Hire

When you need exceptional people.

04

Scale

When you need both.

05Selected work

Some of the problems we've solved.

A selection of production AI systems, agent runtimes, and engineering platforms delivered for growing companies and enterprise teams.

AI Engineering

Making AI faster and cheaper to run

Problem
A growing product’s AI was getting slower and more expensive as more people used it.
What we did
Rebuilt how the AI was run behind the scenes, and trained a custom version on the company’s own work so it performed better for their specific needs.
Outcome
The custom-trained AI outperformed general-purpose tools for the company’s day-to-day use.
AI Engineering

AI that does the work, not just the chat

Problem
A financial services team spent too much time producing reports manually, and worried about mistakes.
What we did
Built an AI system that reads the relevant information, checks it against multiple sources, and drafts the report on its own.
Outcome
Built-in checks now catch errors and inconsistencies before a person ever sees the draft.
AI Engineering

AI that gives real answers, not guesses

Problem
A voice assistant needed to give accurate answers during live conversations, not make things up.
What we did
Connected the assistant to the company’s real, up-to-date information, so every answer it gives is grounded in fact rather than guessed.
Outcome
The assistant now gives accurate answers in real time, during live conversations.
View all engagements
06Next step

Build the system, or find the people who can.

Let's talk