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Orvient

04 / Capability

Web Applications

The unglamorous half of AI work is still software engineering. Interfaces, APIs, state, failure handling, and tests — built so the second year of the codebase costs less than the first, not more.

What we build

Product engineering teams

Small, senior, and accountable for outcomes rather than tickets. Design and engineering in the same conversation.

API platforms

Typed contracts, versioning that does not break consumers, and idempotency where side effects are real.

Distributed and event-driven systems

Services split along genuine boundaries, with the failure modes designed before the happy path.

Quality automation

Tests that catch regressions rather than restating the implementation, and pipelines fast enough that people actually wait for them.

You may recognise this
  • Shipping a small change takes weeks and three teams

  • The test suite is slow enough that people skip it

  • Every new integration is bespoke

  • Architecture decisions live in people's heads, not in writing

Representative work
  • Product engineering
  • API platforms
  • Distributed systems
  • Event-driven design
  • Design systems
  • Quality automation

Product-minded engineering teams that ship. Clear architecture, tight feedback loops, and code written to survive its second year.

Talk to us about web applications.

Tell us what you have today, what you want instead, and any deadline. A senior engineer will reply within two working days.