AI Engineering. Agent Infrastructure. Automation.
AIMEC builds production AI systems for businesses and develops the technical infrastructure, tools and experiments shaping the agentic workforce.
AI that has to work inside a real business.
We design and implement agents, automation, retrieval systems, private AI and custom applications around your data, workflows, permissions and commercial objectives.
Explore solutions →The infrastructure behind the agentic workforce.
Our R&D work explores local agents, secure agent networks, world models, evaluation systems and practical tools for the transition from chat interfaces to autonomous execution.
Enter the lab →From one useful workflow to an operating layer for AI.
AIMEC focuses on the integration layer between powerful models and the messy reality of business systems.
Custom AI systems
Production applications, APIs, retrieval, model integration and AI-native backend architecture.
Agentic systems
Tool use, memory, human approval, multi-agent coordination and persistent AI workers.
Intelligent workflows
Python, n8n and API-driven systems that remove repetitive work and connect operational data.
Local & controlled AI
Ollama, llama.cpp and private architectures for teams that need tighter control over data and inference.
Proof should look like a system, not a promise.
Local Agent Harness
A privacy-first runtime combining local inference, memory, retrieval and controlled tool execution.
Governed Agent Platform
Machine identities, scoped capabilities, human approval, job orchestration and auditable execution for production agent systems.
Business Automation Deployment
An operational automation system connecting AI reasoning, APIs, workflow logic and approval steps to reduce repetitive business work.
We choose tools by architecture, not affiliation.
These are technologies AIMEC uses, evaluates or writes about. They should not be read as formal partner endorsements.
Building something developers or businesses need to understand by using it?
AIMEC works with model providers, infrastructure teams, open-source projects and enterprise technology vendors on integrations, reference implementations, evaluations and technical content.