We build AI systems and the applications around them.
We take on a few client projects at a time and see each one through to production, with the same engineering we put into our own products.
Agent systems
Pipelines that run unattended and stay inspectable.
Multi-agent pipelines with tool use, memory and review loops, built so you can see every step and every decision.
Applications
Web, desktop and mobile apps with AI built in.
We design and build the application around the model: the interface, the data, the permissions and the workflow people actually use.
Model integration
The right model for each task, with predictable spend.
We connect your product to the models that fit each task, measure the results and keep costs predictable. The same approach runs MUSCLE Flex.
Evaluation suites
Test suites built from your own tasks.
Benchmarks and regression suites built from your own work, so a model change is a decision and not a surprise.
From the first call to a system in production.
Define the problem with you.
We start with the decision or workflow you want to change, the data it depends on and what success looks like in numbers you already track.
Prove it on your data.
A working prototype on your real data shows what the system can do before you commit to the full build.
Engineer it properly.
Code, tests and an evaluation suite built from your tasks, with the controls and approvals your team needs.
Put it in front of people.
We deploy, watch it in real use and fix what real use turns up.
Keep it current.
Models change. We hand the system to your team with documentation, or keep it running and re-evaluated as new models arrive.
Prototype
- Best for
- A problem you want sized before you commit
- You get
- A working prototype on your data, and a plan
Build
- Best for
- A system you need running in production
- You get
- Code, tests, an evaluation suite and documentation
Run
- Best for
- Systems that must keep up as models change
- You get
- Monitoring, model updates and re-evaluation