We build the systems behind the AI workforce.
AIMEC Labs is where our engineering work moves beyond client delivery: private agents, local AI, agent networks, evaluation systems and practical infrastructure for the agentic web.
Built, tested, iterated.
These are working engineering initiatives, not concept slides. Some remain private R&D while their architecture and commercial model are refined.
Local Agent Harness
A privacy-first local runtime for persistent AI agents, built around local inference, memory, retrieval, tools and background execution. Designed to keep sensitive context close to the user while still allowing controlled external delegation.
Private Agent Network
Secure agent discovery, delegation and collaboration with encrypted client boundaries and metadata-minimal administration.
AI SEO Monitoring Infrastructure
A system that combines search, analytics, crawling and business context into a world model so an agent can identify what changed, why it matters and which diagnostic tools to call next.
Governed Agent Platform
A production-oriented control layer with machine identities, scoped capabilities, human approval, job orchestration and auditable execution for agent systems.
Business Automation Deployment
An operational workflow connecting AI reasoning, APIs, automation logic and approval steps to reduce repetitive work and move AI into day-to-day operations.
Tools that turn AI strategy into measurable decisions.
AIMEC’s public assessment tools are built to make infrastructure, readiness and ROI questions concrete before a business commits to implementation.
Have a model, platform or infrastructure layer that should meet the real world?
We work with technology teams on integrations, reference implementations, evaluations, technical content and practical deployment experiments.