AI hardware, platforms, and tooling.

Private inference hardware, production systems built into your software and data, and the tools that make both work — for document processing, internal search, and automations, deployed in your cloud or on your hardware.

Isometric line drawing of the FirmLogics appliance: a closed box with a status light on its side. A note reads “Your AI, on your premises”.

Three things we build.

  • Hardware

    The FirmLogics appliance: open-weight models on hardware you operate, specified around model size, context, concurrency, and data boundaries.

    Explore private deployment
  • Platforms

    Production systems built into client software and data — document extraction, retrieval over internal knowledge, and automations with explicit checks and human review.

    Explore production engineering
  • Tooling

    Internal tools that make FirmLogics engineers more effective inside client companies, and external tools client teams use directly and learn from.

    How an engagement runs

Tax automation with an audit trail

One vision-model call per page. Deterministic calculations with IRS and FTB citations. A traceable source behind each value — and a CPA responsible for review and sign-off.

Read the tax-return case study

Start where you need us.

  • Understand

    Assess a workflow, compare build and buy options, and identify what is worth testing before committing to a system.

    Explore AI strategy
  • Build

    Connect models to documents, data, and existing software, with explicit checks and human review where the work requires it.

    Explore production engineering
  • Deploy

    Choose cloud or private hardware around data boundaries, workload, and operating costs — not a preference for one box.

    Explore private deployment

Own the hardware. Choose the tradeoffs.

When the workload calls for local inference, the model runs on infrastructure you control. No per-token inference bill from a hosted model provider — but hardware, power, maintenance, and support still need a budget. Cloud deployment is also an option.

Compare deployment options

A working system is only part of the job.

Evaluation, integration, and the knowledge to operate it matter too. Start with the workflow, agree how success will be judged, and make ownership and support responsibilities explicit.

How an engagement runs

What should your team spend less time doing?

Discuss your workflow