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Neural Concept

SoftwareLausanne, SwitzerlandFounded 2019· One of 350 Software companies tracked by AMPulse

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.

https://www.neuralconcept.com

Why this company matters

Neural Concept provides an AI-native engineering intelligence platform that applies geometric deep learning to 3D engineering data. Spun out of EPFL's Computer Vision Laboratory in 2019, the company targets a gap in traditional simulation workflows: the time and cost of running numerical solvers for complex physical products. Its platform allows engineering teams to iterate designs in real time rather than waiting for batch simulations.

The core technology uses proprietary 3D deep learning architectures that interpret complex shapes and performance characteristics directly from CAD or mesh files. This differs from surrogate models that simplify geometry into 1D or 2D representations. Neural Concept's AI copilot, launched at CES 2026, embeds design guidance into the product development process, enabling faster convergence on optimal geometries for metal AM and other manufacturing methods.

Neural Concept serves engineering and R&D teams at OEMs and Tier 1 suppliers in automotive, aerospace, motorsports, industrial equipment, and electronics. Nearly half of its customers are in the automotive sector, and the platform has been standardized as the AI simulation tool for multiple Formula 1 teams. The company reports adoption by 40% of the largest European and US automotive OEMs.

Competitors include Monolith AI, Ansys SimAI, Altair PhysicsAI, and Luminary Cloud. Neural Concept differentiates through its geometric deep learning approach, which preserves the full 3D context of engineering shapes. A $100 million Series C led by Goldman Sachs Alternatives in December 2025, alongside partnerships with NVIDIA and EPFL, positions the company to scale globally. The open question is whether its surrogate models can maintain accuracy across the broadest range of physics simulations required by aerospace primes and automotive tier-1s.