AVTECH AI
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Software that ships, and keeps shipping.

We build custom applications, modernize legacy estates, and put the quality engineering behind them that keeps release cycles short and defect escape rates low — on codebases we did not write and systems that cannot go offline.

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DELIVERY PIPELINE · MAIN
BUILD #4,182 · 14 STAGES
Commit
lint · unit
running
Build
compile · package
Test
4,180 cases
Scan
SAST · deps · secrets
Stage
integration · smoke
Release
canary · rollout
POLICY GATES· Coverage ≥ 80%· No criticals· No secrets· Rollback verified
LEAD TIME
< 1 day
DEPLOY FREQ
214 / wk
CHANGE FAIL
1.2%
COVERAGE
87%
ILLUSTRATIVE EXAMPLE · NOT CLIENT DATA
01 · WHAT IT IS

Engineering teams that own delivery end to end.

Avtech engineering pods take a system from architecture through production support. We work in your repositories, your pipelines, and your ticket tracker, against your definition of done. Three disciplines sit under this practice: custom application development for systems that do not exist yet, application modernization for the ones that have outlived their architecture, and quality engineering for everything that has to survive the next release.

02 · WHO IT'S FOR

Enterprises carrying more system than team.

This practice is built for organizations where the software is business-critical and the constraint is engineering capacity, architectural debt, or both.

  • Core platforms built ten or more years ago that now block every new product initiative
  • Product organizations that need senior capacity without permanent headcount
  • Teams whose release cycle is measured in quarters because regression testing is manual
  • Estates spread across acquired companies with four ways of doing the same thing
  • Systems where the original engineers have left and the documentation went with them
03 · CAPABILITIES

What we actually do.

Six capability areas, staffed from a single engineering practice so the same people who design the target state are the ones who build it.

  • Custom application development — web, mobile, API, and event-driven systems
  • Application modernization — monolith decomposition, replatforming, framework and language uplift
  • Quality engineering — test automation, performance and load, accessibility, release gating
  • Platform and API engineering — internal developer platforms, service meshes, API management
  • Legacy integration — middleware, adapters, and strangler-pattern migration off systems that cannot be switched off
  • Production support and SRE — on-call, runbooks, and reliability engineering after go-live
04 · How we deliver

Five phases. The same method on every engagement.

We do not reinvent the delivery method per client. What changes is the content of each phase, and what you sign off before the next one starts.

01

Discover

Codebase, dependency, and architecture assessment. We read the system, map the integration surface, and quantify the debt before proposing anything.

02

Design

Target architecture, migration sequencing, and a delivery plan with named risks. You approve the sequence before a line of code moves.

03

Build

Two-week increments against a working backlog, with automated tests written alongside the feature rather than after it.

04

Deploy

Progressive rollout behind feature flags, with rollback tested before cutover and a defined production readiness gate.

05

Support

A warranty period, complete runbooks, and either knowledge transfer to your team or a managed operations handover to ours.

05 · OUTCOMES

Shorter cycles. Fewer escapes.

The measurable result is release frequency that goes up while defects reaching production go down, and an estate your own engineers can extend without calling us. We report both from your telemetry, not ours.

Often delivered alongside

Let's talk about software engineering.

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