Neural Concept
An AI-native Engineering Intelligence platform that leverages 3D deep learning to accelerate product design and simulation for industrial manufacturing.
- CEO / Founder
- Pierre Baqué
- Team Size
- 51-200
- Stage
- Active
- Total Funding
- $140.0M
- Latest Round
- Series C
- Key Investors
- Goldman Sachs Alternatives, Forestay Capital, Alven, D. E. Shaw Group, Aster Capital
Technology & Products
Key Products
AI-first engineering platform for product development, including an AI copilot for design decisions.
Technological Advantage
Replaces traditional, computationally expensive numerical solvers with real-time AI surrogate models that maintain high accuracy while operating at a fraction of the time and cost.
Differentiation
Value Proposition
Reduces engineering simulation times from days to seconds, allowing for real-time design iterations and significantly faster time-to-market for complex physical products.
How They Differentiate
Pioneered Geometric Deep Learning (GDL) that understands 3D shapes directly from CAD/mesh data, rather than relying on simplified 1D or 2D surrogate models.
Market & Competition
Target Customers
Engineering and R&D teams at Tier 1 suppliers and Original Equipment Manufacturers (OEMs) in high-stakes manufacturing sectors.
Industry Verticals
["Automotive","Aerospace","Motorsports (Formula 1)","Industrial Equipment","Electronics"]
Competitors
Monolith AI; Ansys (SimAI); Altair (PhysicsAI); Luminary Cloud
Growth & Milestones
Growth Metrics
Scaling global operations with 100-200 employees; platform adopted by 40% of the largest European and US Automotive OEMs.
Major Milestones
["Launched AI Design Copilot at CES 2026","Secured $100M Series C led by Goldman Sachs Alternatives in Dec 2025","Standardized as the AI simulation tool for multiple Formula 1 teams","Expanded US operations with a dedicated General Manager in 2024"]
Notable Customers
Strong presence in the automotive sector (nearly half of customers), with a growing client base in aerospace, electronics, and energy.