What we believe
Talent is the key to
every AI breakthrough.
The models and tools are available to everyone. What sets teams apart is who uses them, and how. That is why everything we do starts with the engineer.
What this means for you
5%reach production
Most AI projects never leave the pilot
Only around 5% of enterprise generative AI pilots deliver measurable business impact. The ones that do are built into real workflows, and projects done with experienced partners succeed about twice as often as internal builds. We build systems that run in production, not demos.
Source: MIT NANDA, The GenAI Divide: State of AI in Business
90%use AI at work
AI amplifies the team you already have
Nine in ten technology professionals now use AI at work, so the tools are no longer an advantage. Research from Google found that AI acts as an amplifier: it magnifies the strengths of high-performing teams and the dysfunction of struggling ones. Strong engineers make sure it amplifies the right things.
Source: DORA, State of AI-assisted Software Development
19%slower
Working with agents is a skill of its own
In a controlled study, experienced developers using AI tools took 19% longer to finish real tasks, while believing they had been faster. Getting results from agents takes practice: framing problems precisely, splitting work into tasks an agent can own and reviewing what comes back. Our engineers do this every day and bring it into your team.
Source: METR, randomised study of experienced open-source developers
Where our experience comes from
Our engineers work in teams where AI is part of the everyday development process, including at Lovable, Legora and Spotify. We bring that experience to our customers in two areas.
AI for software engineering
AI is changing the role of the software engineer. Instead of writing every line of code themselves, engineers increasingly use agents to plan, implement and review work, while remaining responsible for the outcome.
The opportunity is significant, but the fundamentals still matter. Good engineering practices become even more important when AI increases the speed and volume of development.
- 01Plan
- 02Build
- 03Verify
- 04Review
- Tools
- We help teams establish an effective agentic development environment: the right tools, clear project context, useful documentation and tests that agents can run and understand.
- Workflow
- Plan, build, verify and review. Automated tests, model-assisted reviews and clear human ownership of changes help teams increase development speed without losing control of quality.
- Organisation
- Important context should live in the codebase and documentation rather than with individual developers. We help teams establish shared conventions and workflows that make AI useful across the organisation.
How we help
Operational AI
Many organisations use AI as a tool that employees open when they need it. The larger opportunity is to make AI part of the processes themselves.
We build AI-enabled workflows that operate on real data, inside existing systems, with clear ownership and appropriate controls.
- Production-ready
- The solution runs on real data in production, with monitoring and alerts. A prototype or demo is not the end goal.
- Part of the process
- AI should be integrated into an existing workflow rather than becoming another tool employees have to remember to use.
- Owned by your organisation
- The solution, code, documentation and operational knowledge stay with your team. You should be able to run and develop it without depending on us.
How we approach it
- 01
Choose a process
Start with a specific workflow, a clear owner and a measurable outcome.
- 02
Establish the foundation
Make sure the underlying data, definitions, integrations and access controls are reliable before introducing AI.
- 03
Build and deploy
Get a working version into production quickly, then improve it based on how it performs in practice.
- 04
Add the right controls
Permissions, logging, monitoring and human review should be built into the system where they are needed.
- 05
Transfer ownership
We work with your team so they understand, operate and can continue developing what we build together.
The goal is not to create an AI project. It is to improve how a real part of your business works.
How we work
We don't approach AI as a strategy exercise separate from the technology.
We work directly with your engineers, products and processes to identify where AI can create practical improvements, and then build, deploy and operate those solutions with you.