Knowledge
Answers from your policies, not from the internet.
Agentic RAGHow it works
Labs · we buildChapter 01
From idea to production, without the six-month slide deck.
Start small with an audit or a sprint, then build, then run. Every step ends with something working.
The ladderChapter 02
Entry to recurring, one rung at a time.
- 01
AI Opportunity Audit
For teams that know AI matters, not where.
Process review, ranked use cases and a roadmap.
2 weeks - 02
AI Sprint
For one use case you want to test fast.
A working prototype and a go or no-go.
1–2 weeks - 03
Accelerators
For common needs, already half built.
A ready-made agent tailored to your data.
1–3 weeksSee the six - 04
Custom build
For products that don't exist yet.
Web apps, fine-tuned models, agents, integrations.
Scoped - 05
Run
For anything we've shipped together.
Monitoring, evals and iteration on retainer.
Monthly
Accelerators · 1–3 weeksChapter 03
Six agents we've built before.
Each one is tailored to your documents, systems and languages.
Docs
Read 1,000 invoices like you read one.
Document intelligenceHow it works
Watch
Know what changed in your market this morning.
Market watchHow it works
Recruit
Shortlist 300 CVs against the real job, with reasons.
Smart ATSHow it works
Insights
Ask your dashboard a question, in French or Arabic.
AI dashboardsHow it works
Assist
Answer customers on WhatsApp, day and night.
Web / WhatsApp assistantHow it works
Why it's fastChapter 04
Proven blocks and an AI-native workflow.
- Start fromProven blocksRetrieval, extraction, chat, evals
- 1SpecWhat done looks like
- 2Agents buildClaude Code on the spec
- 3Human reviewEvery change read
- 4Evals, then shipMeasured on your cases