Research, build, and operate reliable AI.

Evaluation‑driven. Secure by default.

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Our approach

Research first. Build what’s proven. Operate with confidence.

  1. Discover — Stakeholder interviews, data audit, baseline metrics, guardrails.
  2. Validate — Rapid prototypes + eval suites (offline + human‑in‑the‑loop).
  3. Deliver — Ship the smallest reliable system; harden with MLOps/LLMOps.
  4. Operate — Monitoring, drift detection, bias/quality checks, continuous evaluation.
FAQ

Can you work without our data leaving our environment?

Yes—on‑prem or private VPC.

Can you integrate with our existing stack?

Yes—Kubernetes/Docker; AWS/Azure/GCP; Postgres/Snowflake; vector DBs (pgvector/FAISS); SSO/RBAC. We deploy in your cloud or on‑prem.

How do you measure quality and control hallucinations?

Agreed KPIs + an eval harness (offline and human‑in‑the‑loop), retrieval/guardrails with redaction, and safe fallbacks—monitored with rollback paths.

Honest advice

Not everything needs AI.

If AI isn’t warranted, we’ll say so—and ship a faster, cheaper alternative.

About OrgCrew

Founded by ML engineers and researchers who’ve scaled models and aligned agents at startups and labs. We bridge research and operations so your teams can ship reliably.

hello@orgcrew.com