Future Present Labs

Future Present Labs is an AI-forward manufacturing studio in Belltown, Seattle. We build software, machines, models, fixtures, and finished parts in the same loop, with a bias toward practical tools that make physical work faster, easier to inspect, and easier to automate.

Our shop combines precision manufacturing with applied AI:

• 4-axis CNC milling, CNC turning, waterjet cutting, laser marking, PCB design, 3D printing, mold-making, finishing, and assembly.
• Agentic workflows for quoting, DFM review, routing, purchasing, inspection, documentation, and customer communication.
• Open-source infrastructure for people and agents that need to move from CAD, BOMs, prompts, notes, or measurements to real-world parts.

We use Hugging Face to share experiments, models, demos, datasets, and tooling from our manufacturing workbench. Some projects are small utilities; others are building blocks for larger systems we run internally at fpl.dev.

What We Are Building

Transmog explores how agents can transform messy product intent into manufacturable artifacts: CAD-adjacent data, files, quotes, routings, and handoffs that humans can still inspect.

Legion of BOM is our work on bill-of-material intelligence: parsing, normalizing, enriching, comparing, and reasoning over BOMs so hardware projects can move with less spreadsheet archaeology.

JARVIS voice work is focused on a practical shop-floor assistant: voice interfaces for machines, job status, documentation, reminders, and engineering context, tuned for real work rather than demos alone.

Alongside those projects, we are developing smaller AI systems for supplier research, quoting, scheduling, inspection notes, CAD review, customer support, and internal operations.

How We Think About AI and Manufacturing

Manufacturing is full of narrow, high-context decisions. A useful AI system in this environment needs to respect tolerances, materials, machine constraints, revision history, lead times, operator judgment, and the cost of being wrong.

Our approach is human-in-the-loop by default. Agents should prepare, check, summarize, route, and accelerate work, but the final loop still belongs to the people responsible for the part, the process, and the customer.

We care about systems that are:

• Grounded: connected to real files, real machines, real measurements, and real constraints.
• Auditable: easy to inspect, replay, correct, and improve.
• Composable: useful as small pieces, not just as one big application.
• Open where possible: shared when it helps others build, learn, or verify.

Open Source

We like open-source because it is how good technical ideas get pressure-tested. When we can publish code, models, prompts, datasets, specs, or demos without violating customer trust or operational security, we try to do that.

Not everything from a working machine shop can be public, but our goal is to share useful pieces of the stack as they become stable enough for others to run, fork, criticize, and improve.

Links

• Website: fpl.dev
• Hugging Face: FuturePresentLabs