Eval-gated rollout01 / 06
Agentic systems + chatbots
Tool use you can audit, token budgets enforced, guardrails that survive prompt injection.
Solutions
AI & Machine Learning
Agents, RAG, computer vision and LLM systems engineered to run in production — with evaluation as the live system.
AI & Machine LearningOverview / Solutions
Eval-gated rolloutEngineering practice · est. 2018
Most ML lives and dies in a notebook. We aren’t in that business.
We engineer the systems around the model: the pipelines that feed it, the evaluation harnesses that catch it failing, and the deployment surface that lets it ship without taking the rest of the platform down. Drift is treated as inevitable, not surprising.
For a regional insurer, on-device muzzle-print biometrics match every claim against the enrolled animal, so fraudulent claims are caught at intake. For a platform org, self-hosted RAG answers across runbooks, contracts and financials behind three access gates and an immutable audit trail.
- Eval-gated rollout
- Agents and RAG you can audit
- Computer vision on real field data
What it includes
What this enables for your business
today and tomorrow.
The expertise and workflows that make this solution useful in practice.
02 / 06
RAG at enterprise scale
Hybrid retrieval with access filters before any vector is seen, and citations validated after.
03 / 06
Computer vision + VLM
Defect detection, claims OCR and identity verification on the messy data benchmarks miss.
04 / 06
MLOps + LLMOps
Model and prompt registries, canary deploys, shadow traffic and instant rollback.
05 / 06
Evaluation + calibration
Held-out evals on your own data, drift detection in production, calibration at every retrain.
06 / 06
AI governance
Prompt isolation, tool-permission scoping and deterministic gates over load-bearing outputs.
How we work
Filed publicly, on the record.
The principles every ai & machine learning engagement runs by — published so partners know what to expect, and what to expect us to refuse.
- 01
We engineer; we don’t deck.
Work shows up as code, infrastructure and shipped systems. Slides arrive late, if at all.
- 02
One SOW. One team.
No subcontractor cascade. The engineers you meet on day one write the code on day ninety.
- 03
We ship our own products first.
Every Labs product was paid for by us before it was sold. We don’t pitch what we haven’t bet on.
- 04
We say so when we’re not the right fit.
If your problem belongs elsewhere, you’ll hear it on the first call — not the third.
Discover more
Capabilities, services and
case files behind it.
The same engineers behind every capability — not siloed teams handing work over walls.
Capability
Data & Intelligence
Turning enterprise data into shipped intelligence — pipelines, ML Ops, LLMs, agents and computer vision.
Case file · Insurance
Hide Nothing
CV-driven cattle identification and automated claim filing — fraudulent claims caught at intake.
Case file · Platform
Need to Know
Self-hosted, ABAC-gated RAG with a zero leak budget and an immutable audit trail.
Open a file
Bring the problem. We bring the senior practitioner.
SLA-bound, with an average reply under 24 hours — and no four-call qualifier before the real conversation.
File a brief