Real AI agents in production, at real volumes.

The entry point with the lowest technical risk and the fastest evidence of value, for companies and teams that build software.

Full cycle of Agentic Software Engineering, with specification, planning, development, testing, quality assurance, code review, and product review agents, with a human gate at merge, producing auditable artifacts. Cycle time, test coverage, and defects that escape are measured from the first week.

Agents that run business processes in a controlled and sustainable way.

Engineering that creates scalable agents with auditable processes across four practices.

• Agentic architecture and harness engineering: process loops, decision flows, tools exposed to the agents, execution limits, and interruption points
• Context readiness: The layer that delivers the right data to agents, with preserved sources, creates and manages context memory, and maintains consistency of process states
• Enterprise integration: ERP, CRM, core finance, scheduling, approval, qualification, transactional, support, claims, or medical records systems — with agent credentials distinct from human ones
• Model routing by step, choosing the most cost-effective AI model for each one given the required complexity and quality, with the cost assigned to the unit of work executed

Agents in production with more speed and security, through skills that implement best work and compliance practices.

A library of validated skills, in an open format, each with its own evidence pack: evaluations, compliance map, and measured cost per unit. Before it reaches a client, every skill or agent — ours, from an open repository, or customized for you — goes through a validation and security test suite. Every skill brought in from outside or created in a conversation goes through a governance gate that checks security and compliance and decides to adapt, accept, or reject it, with the reason in the evidence; for an accepted skill, every call is recorded at the tool boundary, not by self-reporting.