KMS Technology acquires Addepto. Read the Full Press Release
Build Better. Ship Faster. Stay in Control.
AI has made writing code dramatically faster – but the rest of delivery hasn’t kept pace. Requirements stay unclear, testing can’t keep up, and systems behave unpredictably at scale.
KMS Technology’s product engineering services close that AI delivery gap – connecting idea, development, testing, and runtime into a single governed system so you ship faster, scale confidently, and stay in control
Not every product engineering engagement needs to start with a full build. KMS offers focused, diagnostic engagements designed to surface opportunities, validate assumptions, and deliver measurable outcomes within weeks – not quarters.
KMS Technology delivers AI-native product engineering services designed for teams that need to move fast without sacrificing reliability or control. At the core of every engagement is a living specification that governs development, testing, and deployment from end to end – so what gets built stays aligned to intent. Execution is powered by VELOX, our AI-native execution layer that coordinates AI agents across the entire team-PMs, BAs, testers, DevOps, and developers-keeping work aligned from intent to runtime. VELOX works alongside tools like Cursor and Claude Code, extending their value across the full team without replacing them.
Whether you need an embedded AI engineering squad, end-to-end product delivery, or advanced test automation, KMS brings the right model for your context – structured to deliver measurable results at every stage of the software lifecycle.
Targeted, time-boxed product engineering engagements focused on a defined scope – whether that’s shipping a new feature set, modernizing a service, or delivering a production-ready AI module. Clear milestones. Measurable delivery. No ambiguity about what gets built.
High-performance product engineering squads embedded directly into your delivery workflow. Every KMS squad operates using AI-native development practices – spec-driven design, AI-accelerated coding, automated testing, and continuous deployment – so velocity scales without system instability.
Production-grade test automation built for AI-accelerated delivery environments. KMS delivers automated test frameworks, CI/CD integration, and quality engineering practices that keep pace with AI-generated output – so coverage scales as fast as your codebase does.
We help ambitious teams build better software – faster, smarter, and with greater impact, combining deep engineering, product thinking, and consultative insight across the full lifecycle.
AI is embedded across every stage of our product engineering services. As a direct Anthropic partner, KMS has early access to the most advanced AI capabilities – embedded into every engagement.
Our i2i model creates a continuous feedback loop between production and design. Live system behavior feeds back into the specification—so systems don’t just ship, they adapt, improve, and stay aligned over time.
Every KMS engagement is tied to real production metrics. We measure success by how reliably systems perform in production – not by how fast code is written.
Financial services, healthcare, and high-tech clients rely on KMS product engineering services where software behavior must be explainable, auditable, and defensible by default.
We put the specification at the center of execution. It acts as a living, enforceable contract that defines system behavior – ensuring everything built, tested, and run stays consistent with intent. This is what prevents drift and makes AI systems reliable and governable at scale.
VELOX closes the gap between developer speed and reliable delivery. Coding agents like Cursor and Claude Code made developers faster – but PMs, BAs, testers, and DevOps were left behind. VELOX fixes this by coordinating AI agents across roles and stages of the lifecycle, while working seamlessly alongside existing coding tools.
KMS Technology manages the full product engineering lifecycle – from concept and specification through development, testing, and production operations. Our i2i (Idea-to-Impact) model connects every stage into a continuous, governed delivery system, so systems don’t just launch – they perform reliably and improve over time.
The gap between AI-accelerated development and reliable production outcomes is where most product engineering investments stall. KMS closes that gap and measures every engagement against the results that matter in production.
Practical perspectives on AI-native delivery, spec-driven engineering, and scaling product engineering services in complex environments.
