
InsurTech
Safer
Migrated client case data into Safer, an AI-powered injury management platform for Australian teams, and built out its Rehab and Injury product areas.
product areas shipped: Rehab and Injury
- Next.js
- Data migration
- Product engineering
Four engagements written up honestly — including the parts that took longer than the pitch suggested.
Trusted by teams shipping to production
Every engagement below is in production and operated by the client's own team. The numbers are theirs, measured against their own baseline.

InsurTech
Migrated client case data into Safer, an AI-powered injury management platform for Australian teams, and built out its Rehab and Injury product areas.
product areas shipped: Rehab and Injury

Consumer AI
A personalised news feed that lets people design their own algorithm instead of inheriting one — taken from spec to a public test-flight in weeks.
per-topic feed rewrite latency

Healthcare & veterinary
A room-by-room time-tracking system for Veazie Veterinary Clinic, one of Suveto’s network hospitals — every patient and staff room change logged, with wait times measured daily.
average front-lobby wait, tracked daily

B2B commerce
A catalogue and quote-request site for a Chennai technology reseller, replacing a phone-only sales process with a structured way to browse, ask and buy.
product lines on one structured catalogue
Every quote below is from an engineering leader who still runs the system we built.
“We were sceptical about the AI-first pitch — we had been burned by a vendor who shipped a generated codebase nobody could maintain. Azenvoc instrumented our DORA metrics in week one and then let the numbers argue. Lead time went from eleven days to under two.”
Lead time: 11 days → 1.8 days
“The evaluation gate was the part that changed my mind. Generated code has to clear a scored threshold before a human even sees it. That is a higher bar than we held our own pull requests to.”
“They refused to touch the model until the harness could measure it. At the time it felt slow. It is the only reason we could ship into a clinical setting at all.”
3.1× lower retrieval error
“Speed was the headline; reliability was what we actually kept. Nine months on, change failure rate is still under one percent and our on-call rotation is quiet.”
“Our own engineers came out of it faster. Half of what the team learned that year came out of review threads on those pull requests.”
“Observability arrived with the first service instead of after the first incident. I have never had that on a vendor engagement before.”
Tell us where it hurts. One week, and you keep the baseline and the plan.