Services 03
Data & AI teams
When you know what to build but lack the people. Engineers who have already built data platforms and AI in production join your team, or a complete Sofixit team takes ownership of delivery.
When this fits
- You have a roadmap and a backlog, but not enough data or ML engineers to deliver it.
- You need a skill for a defined period: a platform migration, an MLOps setup, a computer vision project.
- You want a team that owns delivery, not individual contractors you have to manage.
How we work together
- Profiles of named engineers before you decide, and an interview with each.
- Time and materials or a team with a fixed monthly scope.
- Regular reporting and one person on our side accountable for the engagement.
Who you can work with
- 01
Data engineers
Spark, Kafka, Flink, Trino, Iceberg; batch and streaming pipelines.
- 02
ML and AI engineers
Computer vision, forecasting, anomaly detection, LLM-based agents and their evaluation.
- 03
MLOps and platform engineers
Kubernetes, model tracking and deployment, monitoring and cost control.
- 04
Data architects
Target architecture, migration plans and governance across platforms.
- 05
Complete Scrum teams
Engineers with a product owner and a Scrum master, accountable for the result.
Related case studies
Telecom data platform: 2× faster, 60% lower operating costs
Telecommunications company · Telecommunications
Mental health data platform: 30× more patient data, every day
Digital mental health company · Healthcare
Weld quality AI: 86% fewer defective parts
Global automotive parts manufacturer · Automotive, metal components
Questions buyers ask
How fast can engineers start?
It depends on the profile and seniority. We send named profiles first, so you know who and when before signing.
How are teams billed?
Time and materials for individual engineers, or a monthly fee for a complete team with an agreed scope. Rates depend on seniority and are in the quote with the profiles.
Do your engineers work on-site?
Mostly remotely from Poland, with on-site workshops when the project needs them.
Let's talk about your project
Tell us about your case
Pick one problem.
Show us the data you have.
Let's agree a measurable goal.
Name the process and the data you have. An engineer, not a call centre, gets back to you.
We reply within one business day.