KMS Technology acquires Addepto. Read the Full Press Release
Strategy doesn’t ship software. Execution does. VELOX is KMS’s agentic AI orchestration platform for the software development lifecycle—the layer where humans, agents, tools, and workflows operate together under governed context to deliver real work with results tied to business outcomes.
Agentic AI should help delivery teams move faster, make better decisions, and ship better software. But most organizations get trapped in one of three dead ends
This gap is especially painful for enterprises running real delivery pipelines across web and mobile systems, legacy codebases, and regulated healthcare, fintech, and SaaS environments. Demos impress, but production never follows—and the distance between strategic intent and shipped software keeps widening.
Over 40% of agentic AI projects will be canceled by the end of 2027, due to escalating costs, unclear business value, or inadequate risk controls (Gartner).
62% of organizations are piloting AI agents, but in any given business function no more than 10% are scaling them (McKinsey).
Most organizations struggle to turn AI adoption into consistent, measurable results. Velox is a centralized Agentic AI orchestration platform that connects specialized agents, tools, and deep project context into human-in-the-loop workflows across the SDLC. The result: repeatable execution, built-in governance, and productivity you can actually measure. Watch the demo to see Velox in action.
At the end of engagement, you receive a governed AI execution layer for software delivery—grounded in your real systems, connected to your existing tools, and designed to move work from intent to shipped software.
Humans, AI agents, tools, and workflows coordinated across the full software delivery lifecycle. Execution is structured, traceable, and aligned instead of improvised.
Product context, requirements, codebase, documentation, tickets, test history, and workflows unified into a common source of truth for agents and teams.
Agents help generate and structure requirements for BA review and refinement, create and run tests against live web and mobile systems, and report results into your existing delivery tools—connecting AI work to production readiness.
Ideas become proposals, specifications, and implementation-ready tasks through natural-language prompts, with requirements living alongside the codebase and a full audit trail from intent to implementation.
Velox can support legacy modernization initiatives — helping teams analyze existing codebases, regenerate requirements for new technology stacks, and keep modernization work connected across requirements, testing, release, and feedback.
Progress begins to connect to business impact — tracking delivery velocity, quality, and production readiness — so AI adoption starts to be measured by what ships, not what demos.
Two capabilities are hardening now, not finished yet — and KMS says so plainly.
VELOX helps enterprises move beyond AI demos and pilots by grounding agents in delivery knowledge, connecting them to real workflows, and governing execution across the software lifecycle. From here, organizations typically expand through:
Move beyond demos and pilots with governed agentic delivery—ground AI agents in your real delivery knowledge, connect them to live systems, and accelerate execution across the software lifecycle