RETRIEVAL
RAG & data access
Connect context and sources so answers remain traceable instead of merely plausible.
AI & AUTOMATION
Make AI production-ready, not just impressive in a prototype.
We connect AI features with good product logic, verifiable data flows and infrastructure that makes quality, cost and failures visible.
AI building blocks
From workflows to a dependable product feature.
AUTOMATION
AI workflows & integrations
Automate manual work with APIs, documents, checks and clear handoffs.
EVALUATION
Evals & observability
Make quality, drift, latency and cost visible before failures spread through a process.
OPERATIONS
Run safely in production
Treat secrets, access, logs, backups and releases like any other production application.
A good fit when
An AI prototype needs to enter a real workflow.
- 01An AI MVP works as a demo but not reliably with real data.
- 02RAG answers are hard to evaluate or sources are not tracked properly.
- 03An internal workflow should process documents, invoices or data automatically.
- 04AI-generated application code needs structure, tests and a safe release path.
AI process
Clarify the workflow first, then make the model matter.
- 01
Bound the use case
Define the real user flow and decision where AI should help.
- 02
Check data & output
Make sources, schema, PII and failure cases visible and testable.
- 03
Build the workflow
Put integrations, fallbacks and human handoffs into the application.
- 04
Observe production
Keep quality, cost, latency and changes understandable over time.
FAQ
AI without product and operations fog.
- Do you only work on prompts?
- No. We focus on the full flow: data, application code, evaluation, integrations and operations.
- Can you take over an existing AI prototype?
- Yes. We review the repository, data flow, dependencies and deployment assumptions and shape a useful next step.
- Which model or provider must we use?
- That depends on data, cost, latency and requirements. We do not recommend a provider apart from the actual workflow.
01
02
03
Next step
Turn an AI demo into a dependable workflow.
Describe the user flow and data. We will help define the first production-minded step.