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Ann Arbor, MI

AI Development in Ann Arbor.

We build AI systems for Ann Arbor companies. Custom AI agents, LLM integrations, and automation built into your business. As a remote-first studio, we work with Michigan businesses the same way we work with clients anywhere in the US.

[ AI Development in Ann Arbor ]

Ann Arbor teams are often AI-literate enough to know what they want and too busy to build it well. We deliver production LLM systems for that audience: retrieval over research corpora and technical documentation, document processing for labs and clinics, and agentic workflows with evaluation baked in. We deploy in private cloud environments when IP or data agreements require it.

Ann Arbor may be the hardest city in the Midwest to impress with AI. University of Michigan researchers publish in the field, spinout founders have read the papers their products depend on, and mobility R&D teams already work with models in their engineering pipelines. What these organizations lack is not understanding but bandwidth: a lab needs its corpus of protocols and publications made searchable, a startup needs LLM features shipped to paying customers, a clinic-adjacent venture needs document automation that respects data agreements, and nobody has spare engineers to build it properly.

That is the work Init One Solutions takes on. We deliver retrieval systems over research corpora and technical documentation with citations a skeptical Ann Arbor audience can check, document processing pipelines that turn intake paperwork and study records into structured data, and agentic workflows with evaluation harnesses built in from the first commit. Where IP terms, sponsor agreements, or participant consent restrict data movement, models run inside cloud environments you control. As a remote-first studio we work the way distributed research collaborations already do, over scheduled sessions, shared documents, and results you can reproduce.

[ Sectors we build for ]

  • higher education & research
  • mobility & automotive R&D
  • software & startups
  • healthcare & life sciences
  • professional services

[ What we build ]

AI Development for Ann Arbor

LLM retrieval, document extraction, and private cloud deployment match Ann Arbor's research corpora, spinout product roadmaps, and the data agreements university-adjacent work carries.

  • Custom AI agents and assistants trained on your data
  • LLM integration with retrieval and guardrails
  • Document processing and data extraction
  • Workflow and process automation
  • Private, secure deployment in your own cloud
More on AI Development

[ Working with us from Ann Arbor ]

Our data use agreements restrict where research data can go. Can AI tooling comply?

Yes, and we treat the agreement as an engineering constraint from day one. Models, embeddings, and document stores deploy inside a cloud boundary your Ann Arbor organization controls, nothing routes through consumer AI services, and access maps to the roles your agreement defines. We document the data flow so your compliance or tech transfer office can verify it directly.

How do you evaluate LLM output rigorously enough for a research audience?

The same way Ann Arbor reviewers would: with held-out test sets, defined metrics, and reproducible runs. We build evaluation harnesses from your real documents before shipping features, measure retrieval accuracy and citation faithfulness against ground truth, and report regressions per release. If a capability cannot meet the bar, we show you the numbers rather than the demo.

Will our own team be able to extend the AI system after you hand it off?

That is the design goal. Ann Arbor teams are technical, so we write the system the way you would want to inherit it: typed code, documented prompts and pipelines, infrastructure as code, and evaluation suites your engineers or grad students can run themselves. The handoff includes working sessions until your people are making changes confidently.

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