Bridging the Hardware Translation Gap with AI-Native Engineering.
SpecForge AI is an agentic engineering platform designed to automate the transition from unstructured conceptual sketches to ISO-compliant, factory-ready manufacturing documentation.
By leveraging a proprietary Vision-to-Tolerance (V2T) pipeline, SpecForge AI extracts geometric relationships from images and generates precise engineering specifications (GD&T, BOMs, Material Specs) that are validated for manufacturability via Accio Work before being routed to the Alibaba.com supplier ecosystem.
- Phase: Alpha Development (Stealth)
- Competition: CoCreate Pitch 2026 - Los Angeles Finals Candidate (0-to-1 Startup Track).
- Milestone: Currently validating the V2T pipeline accuracy through physical CNC-machined bracket production cycles.
SpecForge AI is built on a multi-agent orchestration layer designed for "Production-Ready" AI:
- Vision Agent: Extracts geometric and dimensional intent from raw conceptual inputs.
- Engineering Agent: Applies ISO-1101 standards to generate structured manufacturing documentation.
- Validation Agent: Integrates with the Accio Work ecosystem to verify manufacturability against real-world supplier constraints.
- Orchestrator Agent: Manages quality control and cross-agent consistency to ensure measurable, factory-ready outputs.
We value truth over hype. Our development roadmap is gated by physical validation:
- Q2 2026: System Architecture & V2T Alpha Engine.
- Q3 2026 (LA Finals): Digital-to-Physical validation of simple CNC brackets.
- Q4 2026: Expansion to complex assemblies and injection molding DFM.
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Official Landing Page: specforgeai.netlify.app
This project is licensed under the MIT License β see the LICENSE file for details.
- Founder: Sarah Sair (Generative AI & LLM Engineer | Systems Architect)
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Β© 2026 SpecForge AI. Developed by Sarah Sair.