Custom AI systems studio

We engineer AI systems
that hold up in production.

Biotite Solutions designs and builds custom agents, knowledge systems, and decision-support tools for businesses whose workflows, data, and software are too specific for off-the-shelf AI.

Agents · Knowledge systems · Vision pipelines · Internal applications

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What we do

Most AI initiatives stall between the demo and the day-to-day. We exist for that gap: complete systems — models, agent logic, your proprietary data, integrations, backend, and interface — built as one piece of working software.

Built for
SMB leadership teams with complex or specialized workflows
Experience in
Biotech, technology, and manufacturing organizations
Engagements
Typically 3–6 months; minimum six weeks

Selected work

Systems in service

Capabilities

What we build

How we work

From first call
to running system

No discovery theater, no fifty-page strategy deck. A short path to working software, with checkpoints where you decide whether to continue.

  1. 01

    Introductory call

    A direct conversation about the problem you're trying to solve. We'll tell you plainly whether we're the right fit — and if we're not, we'll say so.

  2. 02

    Working plan

    If there's a fit, a follow-up session where we map your goals to a concrete plan: what we'll build, how it integrates with your systems, and how we'll know it's working.

  3. 03

    Design & build

    We design the system and build it against your real data, tools, and constraints — in working software from the first weeks, not slideware.

  4. 04

    Evaluate & harden

    Before anyone depends on the system, we test it against real cases, define where humans review its output, and make its reliability measurable.

  5. 05

    Deploy & improve

    We ship to production, hand over documentation, and stay engaged. Typical engagements run three to six months; we're open to longer partnerships.

Point of view

The name comes from a mineral that forms in clean, distinct layers. That's how we build: data, logic, and interface each engineered properly — never a thin demo over an API call.

  • Working systems, not prototypes

    Every engagement ends in software that runs in your business — evaluated, documented, and maintained.

  • Humans stay in charge

    We design explicit review points and audit trails, so automation extends your team's judgment instead of replacing it.

  • Until it works

    We don't consider a system delivered because a contract says so. We work until it earns its place in your operation.