Resources
Guides, blueprints, and case studies for shipping production AI.
Guides, blueprints and tools written by the engineers who do the work, for the decisions a buyer has to make before and during an engagement: how to take edge computer vision from proof of concept to production, how to run agent guardrails and evaluations with a human in the loop, how to roll a model back safely, and how to set a redaction policy that survives a public-records audit.
Beside them sit the comparison pages, written for the questions a CTO asks before choosing a partner, and the self-service tools: the readiness assessment, the architecture diagnostic and the platform readiness check. The customer stories are summarised on their own pages, with the full write-ups available on request once the client has agreed to the detail being shared.
Model rollback with compatible features and configuration
Run a synthetic MLOps demonstration of registration, lineage, canary checks, missing labels, failed model loads and recovery of a compatible release.
Agent guardrails with expiring approvals and safe retries
Run a synthetic agent workflow that tests authorization, expiring approvals, duplicate calls, retries and audit records.
Edge Computer Vision to Production: PoC → Pilot → Scale
A practical blueprint to move from a PoC to stable edge CV: datasets, accuracy gates, latency budgets, and operational review loops.
ALPR & Public-Records Redaction: Policy, CJIS, and Audit in Practice
A field guide to shipping ALPR and video/audio redaction that stands up to PRA/FOIA and CJIS-style audits, without blocking operations.