Technology
Engineering capacity and AI expertise for software companies and IT teams
Solutions › By Industry › Technology
Technology companies do not need to be convinced about AI or cloud. They need senior engineers, fast, and partners who can own a piece of work rather than add to the coordination load. Whether you are a SaaS start-up, an IT services firm or an internal platform team, the constraint is usually capable people.
We supply data and AI engineers, build products and platforms as a dedicated team, and help engineering organisations adopt AI-assisted development safely. Our leadership has worked inside global technology and consulting firms on client delivery, so we know what a good vendor looks like from the inside.
Challenges we see
- Hiring senior data and AI engineers takes months
- A product roadmap that outruns the team
- Legacy platforms holding back new features
- Uneven use of AI coding tools across teams
- Subcontractors who need constant management
Technologies we use
- Python
- TypeScript
- Databricks
- Snowflake
- AWS
- Azure
- LangGraph
- GitHub Copilot
- Claude
What we offer technology companies
Dedicated engineering teams
Data, AI and full-stack engineers working as an extension of your team.
Data and AI features
RAG, agents and analytics embedded in your product.
Platform modernization
Move to a modern data stack without a feature freeze.
AI adoption for engineering
Standards, tooling and training for AI-assisted development.
Common questions
Can you start quickly?
Screened profiles within days for staffing. A dedicated team typically starts within two to three weeks.
How do you work with our processes?
We join your tools: Jira, GitHub, Slack or Teams, your sprints and your reviews.
Do you sign NDAs and IP agreements?
Yes. All work product belongs to you.
Working in technology?
Tell us your biggest data or hiring problem and we will say how we would approach it.