Systematic evaluation of AI accuracy, reliability, bias, cost, and production-readiness so you ship with confidence, not hope.
Organizations that conduct regular AI system assessments are three times more likely to report high GenAI business value than those that don't.
of organizations see meaningful financial returns from AI. The remaining 94.5% are investing without systematically measuring what their AI is actually delivering.
Accuracy & Reliability Assessment
Bias & Fairness Audit
Cost & Latency Analysis
Hallucination & Grounding Evaluation
Security & Safety Testing
Production Readiness Report
We sit with you, map your workflows, users, and constraints. You leave with a scoped brief — not a proposal full of assumptions.
System design and UX decisions made before a line of production code.
Sprint-based delivery with demos every cycle and one accountable lead.
Deployment to your infrastructure with docs and a clean handover.
30 days of post-launch stabilization while real usage settles in.
Founders, CTOs, Product Leaders shipping AI-powered features or products
.svg?v=tj709q){kind=small}
Don't see your stack? We've shipped on 15+. Tell us what you use
Docucoder captures the procedure in real time and delivers a ready to review, CPT coded surgical report by the end of the case. No paperwork relay, no lost detail.
A role based ERP that put procurement, inventory, budgets and approvals for a multi site construction firm into one platform, from the C suite to the job site.
A telecom and IT services brokerage was running catalog, orders, and multi party commissions across a generic CRM and a sprawl of Excel. We rebuilt it as a single operational platform with the commission engine at its core.
A high end household and estate staffing agency was running its pipeline across spreadsheets, email, and WhatsApp. We replaced it with a two sided, stage gated platform where each side sees only the view it needs.
Westrow brokers perishable food into every major Canadian retailer. We rebuilt the system that connects their client, their retail customers, and every product spec in between, retiring a legacy database and a wall of spreadsheets for a single source of truth.
Both. Pre-launch evaluations catch accuracy, bias, and safety issues before they reach users. Post-launch evaluations monitor for drift, identify new failure modes from real-world usage, and validate that performance holds over time. If you're only doing one, do it before launch. The cost of a pre-launch eval is a fraction of the cost of a public AI failure.
Book a 30-minute scoping call. We'll give you honest direction, not a sales deck.
 1.svg?v=tj6zvv){kind=small}
 1.svg?v=tj707k){kind=small}
