A live school product
Phoenix Ember connects assessment, intervention and retained evidence. It is in school use; PECTECH owns the product and Zero Drift builds the software.
Inspect the case record →An independent software studio
Built for the difficult parts.
Zero Drift builds client systems and software utilities for difficult business and public-service work. Whether commissioned by a client or developed with a domain partner, the standard is the same: complete, dependable and ready to operate.
The work behind the position
A decision has to survive outside the room.
Product direction and architecture meet in a written specification: what the system must do, which rules govern it, where responsibility sits and what evidence would let another person accept the result.
A measured server replacement
The Ember replacement comparison retained 2,510 observations with zero differences inside its measured boundary. That is a specific engineering receipt, not a claim that testing proves everything.
Read the evidence →Business meaning in the code
ClarityCrowd separates completing an objective from moving its business outcome. Explicit calculations expose when activity looks healthy but the result is stalled.
See the product story →How the company works
One studio.
Two kinds of work.
Clients commission defined outcomes: architecture decisions, product builds, live-system recovery, independent technical evidence or named leadership. The boundary, handover and commercial terms are written before the work begins.
Products begin with a recurring commercial problem that deserves a complete utility. Some belong to Zero Drift; others belong to domain founders while Zero Drift acts as the contracted software builder. A fixed-price commission and a revenue-share partnership are both valid ways to work together; contribution, ownership, costs and operation are agreed explicitly.
Beyond vibe coding
“It works” is where product engineering begins.
Vibe coding can make an interface behave in a polished demonstration. Software in production has to keep its promises when the data is awkward, the traffic rises, a regulator asks a question, something fails or somebody else has to operate it.
- 01
Complete
The whole recognisable job: real workflows, awkward cases, permissions, accessibility and the unglamorous middle that a demonstration can avoid.
- 02
Dependable
Clear architecture, secure data boundaries and deterministic code—rather than a model’s best guess—wherever an answer must be right.
- 03
Ready to operate
Cloud deployment, monitoring, recovery plans, runbooks and proof that the product behaves as agreed. It can be run, diagnosed and handed over without us in the room.
- 04
Cost-optimised
Hosting cost, response time and routine support designed down from the beginning, so success does not become an expensive operating problem.
What makes the difference
AI makes writing code cheap.
Judgement makes the result useful.
Agents multiply implementation speed. They do not decide what the business needs, where the risk sits or which compromise will survive contact with reality.
That takes technical depth and first-principles problem solving across product, architecture, data, security, compliance, performance, infrastructure and operations. AI supplies leverage. Experienced humans set the direction, make the consequential decisions and own the result.
See where inference stopsZero Drift Ltd