AI systems · automation · infrastructure

Practical AI systems built for real work.

We design and build AI-powered systems that solve operational problems — from autonomous agents and local AI to cloud automation, integrations, and production software.

What we do

AI that fits the system around it.

We focus on the engineering required to make AI useful, measurable, maintainable, and safe to operate.

01

AI & Agentic Systems

We design multi-agent workflows, autonomous systems, LLM integrations, evaluation frameworks, guardrails, orchestration, and human-in-the-loop controls.

02

AI Infrastructure

We build local, private, and hybrid AI environments, including GPU inference workloads, containerized infrastructure, cloud integration, and scalable deployment architectures.

03

Automation & Integration

We connect AI with the systems businesses already use — APIs, Microsoft 365, identity platforms, GitHub, cloud services, data sources, and operational workflows.

04

Rapid Product Development

We help turn ideas into working systems, from architecture and prototyping through testing, deployment, and ongoing improvement.

Selected work

Built, tested, and operated.

Our project work explores where modern AI can create real leverage — while keeping reliability, controls, and production realities in the design.

AI Engineering

Six-Agent Development Orchestration

An AI software-development orchestration platform using specialized autonomous agents, independent quality gates, recovery logic, portable compute runners, and evidence-based execution controls.

Local AI

Goldilocks / Jeeves

A local-first voice AI platform combining private local inference with intelligent cloud-model escalation, natural voice interaction, tool access, and hybrid compute.

Product Engineering

SideGig.io

A modular SaaS platform designed for independent workers, using multitenant architecture, federated identity, and independently deployable business services.

How we work

Start with the problem, not the model.

We focus on practical AI engineering rather than adding AI simply because it is fashionable.

We start with the business or technical problem, determine where automation and AI provide meaningful value, and build systems that are secure, maintainable, measurable, and designed to evolve.

PracticalSecureMeasurableMaintainable

Work with ITMIK

Have a problem AI might solve?

Let’s determine whether AI is the right tool — and what it would take to build it.

View our GitHub