* Knowledge & data
- Search over your docs
- Data pipelines
- Evals
Your documents, tickets, wikis and databases turned into answers people can check. We build the retrieval, the pipelines that keep it current, and the evals that prove it's right before anyone relies on it.
What we build
- 01
Knowledge assistants
Answers over your own material with citations, permissions respected and stale content kept out.
- 02
Data pipelines
Ingestion, cleaning and indexing that keep models fed with current, correct data.
- 03
Evals & monitoring
Test sets from real questions, automatic scoring and alerts when quality drifts.
Built in, every time
- ✓Every answer cites its source
- ✓Access follows your existing permissions
- ✓Quality measured on your real questions
- ✓Drift alerts before users notice
Why now
78%
of enterprises have adopted internal knowledge assistants.
Presenc · 2026 ↗72%
of enterprises raised spending on agent evaluation and monitoring.
Aldric Research · mid-2026 ↗How it runs
- 01
Discover
Two weeks, fixed scope. We map the use case, test the riskiest assumption on your data, and hand you a plan and a fixed quote.
- 02
Build
Fixed-price milestones. A production system with evals, monitoring and documentation, shipped in weeks, not quarters.
- 03
Operate
We stay to run it: monitoring, evals, model upgrades and incident response. Or we hand it over cleanly.