We build AI systems that solve real operational problems for health and cannabis companies.
Scoping, opportunity mapping, and model selection for regulated workloads.
02 /Agentic workflows, retrieval pipelines, evals, and human-in-the-loop controls.
03 /From ETL to analytics, built on Snowflake + dbt. HIPAA-compliant where needed.
04 /Metrc/BioTrack integrations, GDPR data maps, AEPD registers, audit logs.
05 /Internal apps for clinicians, club directors, and operations teams.
06 /Embedded technical leadership for 3–12 month engagements.
Workshops with your ops and compliance teams. We audit current workflows, data sources, and regulatory constraints — and leave with a clear thesis.
Working prototype on a real slice of your data. Accuracy benchmarks, failure modes documented, ROI modeled. No demo-ware.
Hardened build, SOC2-aligned infra, observability, audit logs. Rollout with your team. We stay until it's running for real traffic.
Drift detection, accuracy dashboards, model cost tracking. You see what the AI is doing and why — before regulators or customers do.
Quarterly reviews on what shipped. New use cases, model upgrades, regulation changes absorbed. Your AI layer matures with the business.
We operate across three regulatory regions. Every engagement is scoped to the right frameworks from day one — not bolted on before launch.
We don't bolt compliance on at the end. Every architecture decision, data flow, and deployment pattern is built with HIPAA, state cannabis regs, and audit trails as first-class constraints — not afterthoughts.
Working prototypes in weeks, not quarters. We ship to production early and iterate with real data because the gap between demo and deployment is where most AI projects die.
We don't build what you ask for — we build what moves the needle. Every engagement starts with your operational bottleneck and works backward to the simplest AI solution that eliminates it.
Five quick questions. We'll reply within 24 hours with a yes, a no, or a sharper question.
A monthly memo for founders, directors and operators in health and cannabis — what's shifting in EU and US regulation, which AI tools actually matter, and what we're learning from the ground.
