A 5-day engagement that maps your data, surfaces high-ROI AI candidates, and recommends a pilot — fixed price.
Read the briefFrontier-class models on isolated infrastructure — your data never leaves the perimeter.
Explore the stackDomain-grounded copilots that work the way your team already works — connected to your data, scoped by your permissions.
A copilot is only useful if it answers from your reality — your policies, your tickets, your contracts — and only shows each user what they’re allowed to see. Generic chatbots fail on both counts. We build copilots grounded in your corpus with access control enforced at the row.
Every answer is cited back to source, freshness is guaranteed, and the system is tuned to refuse rather than hallucinate when it doesn’t know. We measure answer quality continuously, not once at launch.
Specific, production-grade capability — not a feature checklist.
Hybrid retrieval over your structured and unstructured data; every response links to its source.
Users only ever retrieve what their identity permits — enforced in retrieval, not just the UI.
Slack, Teams, web, IDE, or directly inside ERP/CRM screens via deep links.
Tuned to say “I don’t know” and route to a human rather than invent an answer.
Thumbs, corrections, and analytics flow into evals so the copilot measurably improves.
Redaction, query logging, and audit trails designed for regulated environments.
We index your documents, tickets, wikis and databases with the right chunking and access metadata — without moving data out.
Hybrid retrieval + reranking returns the right passages; the model answers strictly from them, with citations.
Identity-aware retrieval enforces per-row permissions; PII is redacted and every query is logged.
An eval set tracks accuracy and refusal quality; user feedback closes the loop in production.
Start with a fixed-price 5-day Readiness Assessment or a 6-week pilot. Senior engineers, measurable evals, and a system you own on handover.