DSRV.io · Enforcement-informed quality intelligence

About Ted Desravines

Building practical AI for regulated work.

I work where quality systems, inspection risk, stability programs, and AI tools meet. DSRV is my operating surface for turning pharma-quality questions into evidence, judgment, and next safe moves.

Quality operator

Pharma quality and stability program experience, grounded in practical execution.

Human reviewed

AI supports evidence mapping. Regulated decisions stay human-gated.

Builder lens

Tools should reduce ambiguity, not create another black box.

Black Haitian artist painting a computer monitor into existence inside an AI art gallery
Selected hero image

Founder note

I built DSRV for the moments when regulated teams do not need another dashboard — they need a clearer read on what the evidence says, what the risk means, and what the next safe move should be.

My background is quality, stability, and inspection-facing work. My point of view is simple: AI is useful only when it makes judgment more grounded, not more hidden.

This is why DSRV stays human-reviewed, evidence-first, and practical. The goal is not to replace quality leadership. The goal is to give serious operators a sharper surface for asking better questions.

The page structure

01 / Origin

Quality, stability, inspection readiness, and the pressure of regulated operations.

02 / Method

AI as a drafting, evidence, and triage layer — never as an unsupervised regulated decision-maker.

03 / Invitation

Ask a real pharma-quality question. Get a grounded read, a human-reviewed next move, or a clear blocker.