Build AI into your software.

We build AI features and automated workflows using your data. We test their accuracy, control their access and monitor them after launch.

The problem

Make AI reliable enough to use.

Before launch, you need to know how the feature performs, what it costs and when a person needs to review it.

Inaccurate answers

Responses look convincing but do not match your source data.

Quality changes

Prompt or model updates change results without anyone noticing.

Unpredictable costs

Usage grows without clear limits or a cost per request.

Untracked actions

An agent changes records without a clear log or approval process.

How we work

01

Use your data

Connect the model to approved sources and check its responses.

  • Source citations
  • Response validation
  • Fallbacks when information is missing
  • Access limited to approved data
02

Measure quality

Test against real examples before releasing changes.

  • Representative test cases
  • Quality checks in your build pipeline
  • Human review for uncertain results
  • Ongoing accuracy tracking
03

Control how it runs

Set limits on cost and access, and record each action.

  • Retries and timeouts
  • Logs for each run
  • Cost and response-time monitoring
  • Approval steps for sensitive actions

Project options

Indicative timelines. We confirm scope, cost and schedule before starting.

2 weeks, fixed price

Prototype

Test one idea against your data and measure the results.

Result

A working prototype and a recommendation on whether to continue.

6 to 12 weeks

AI feature

Build and launch one feature in your application.

Result

A live feature with tests, monitoring and cost controls.

3 to 6 months

AI workflow

Automate a multi-step process across your systems.

Result

A workflow with defined permissions, approvals and action logs.

What you get

Documentation and a team walkthrough are included.

  • 01 Code in your repository
  • 02 Automated tests and quality checks
  • 03 Dashboards for accuracy, speed and cost
  • 04 Documented permissions and approval rules
  • 05 Setup and troubleshooting guides
  • 06 A handover session with your team

Common questions

Which AI model do you use?

We choose based on your accuracy, privacy, speed and cost requirements.

Do you use AI to write code?

Yes. Our engineers review and test the code before release.

Can you work in our existing codebase?

Yes. We can add AI features to the software you already run.

What if AI is not suitable?

We will recommend a simpler approach if rules or conventional software can do the job.

Tell us what you need.

A short description is enough to start.