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Braid

Shutdown

Braid provides an AI-driven engineering design platform that generates manufacturable 3D CAD geometry from constraint specifications, replacing the manual draw-and-simulate loop. Its AURA reasoning engine combines a symbolic layer encoding physics and manufacturing rules with probabilistic machine learning to produce validated design alternatives and comparison reports in hours rather than weeks. The platform targets engineering teams in aerospace, energy, and heat exchanger development.

Traction 10/10
Tokyo, Japan · HQ
Founded 2020302K+ followers
  • Artificial Intelligence
  • Manufacturing / Industry 4.0
  • Software Only
  • Data & Analytics
  • Enterprise Software
Updated 6 days ago

Funding

Raised to date

$6.5MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

2 founders

Ivo Timóteo

CEO

Guido Cossu

Founder, Technology & Creative Director

Product

Problem

Engineering design for performance-critical products remains a slow, manual process where engineers must iteratively draw, simulate, review, and redraw designs. Traditional CAD tools lack physics awareness, physics tools lack manufacturing awareness, and the engineer serves as the sole integration layer, resulting in weeks-long design cycles and missed product opportunities.

Solution

Braid offers an AI-driven engineering design platform built around its AURA reasoning engine. Engineers specify functional goals, physical conditions, geometric envelopes, and manufacturing constraints, and AURA produces manufacturable 3D solid CAD geometry, multiple design alternatives, and automatically generated comparison reports in hours rather than weeks. The system reasons across physics, geometry, and manufacturing constraints simultaneously, ensuring that generated geometries satisfy all requirements at once. A symbolic layer encodes engineering knowledge to guarantee correctness, while probabilistic machine learning models guide the search to make it efficient. Engineers review alternatives, understand trade-offs, and select designs for downstream simulation, prototyping, and manufacturing handoff.

Target Audience

Braid's primary customers are engineering teams and manufacturers involved in new product design, product redesign, high-performance applications, and long-term R&D engagements across industries such as aerospace, energy, and heat exchanger development.

Features

  • AURA reasoning engine that generates manufacturable 3D solid CAD geometry from constraint specifications, exportable to standard formats
  • Multi-solution generation that surfaces several design alternatives with different trade-offs, including geometries engineers would not have drawn unaided
  • Automatically generated PDF design reports explaining how each design satisfies constraints, trade-offs made, and physical characteristics
  • Symbolic layer encoding physics, geometry, and manufacturing constraints that prevents generation of physically or manufacturably invalid geometries
  • Probabilistic machine learning layer that guides the search and ranks partial solutions for practical efficiency
  • Constraint-set-based workflow where engineers define the problem specification as the contract AURA must satisfy
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