Today we announced we’ve raised $30 million from individual investors to accelerate Circuit, purpose-built AI that turns technical knowledge into actionable guidance for teams across manufacturing and service.
It’s one of the largest angel rounds in Texas, but the number isn’t the story. Manufacturers are dealing with unprecedented product complexity while experienced people retire faster than companies can replace them.
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“The work is getting harder and the people who know how to do it are leaving. Circuit exists to make sure that knowledge scales with the business.”
The expertise problem
Teams make hundreds of decisions every day that directly impact revenue and reliability: configuring equipment, building quotes, guiding installations, troubleshooting in the field.
The information behind those decisions sits in manuals, wiring diagrams, exploded views, parts catalogs, and legacy systems. More often, it’s in the heads of your most experienced people. Deloitte and The Manufacturing Institute estimate this could leave 1.9 million manufacturing jobs unfilled by 2033.
How Circuit works
Circuit transforms technical documentation into workflows that guide your teams:
- Connects to your systems like ERP, CRM, and quoting tools
- Works in plain language so teams can describe real conditions and requirements
- Applies purpose-built reasoning for configuration logic, compatibility, and dependencies
Early customer success
Organizations like Culligan and Four Hands are already seeing faster quoting, fewer support errors, and new hires ramping in weeks instead of months.
Tony Bender, executive and advisor at Culligan:
“They’re turning our years of product documents and operational knowledge into guided execution our teams and dealers can rely on.”
Why we’re building this
We’re Silicon Labs veterans, including CEO Tyson Tuttle who led the semiconductor company for years. We spent decades building and shipping chips, managing global supply chains, and working with manufacturers who depend on precise technical specifications.
We’re not a SaaS company building for manufacturing. We’re operators who’ve lived inside these ecosystems where the work is high-stakes and unforgiving.
Manufacturing doesn’t need another AI that answers questions. It needs systems that turn technical expertise into repeatable execution, with the governance our industry demands.
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