DeepHawk Company

The DeepHawk Team

Excellence in Research Applied to Industrial Challenges

Beyond its co-founders, DeepHawk is powered by a multidisciplinary team of elite engineers and researchers specializing in artificial intelligence, computer vision, signal processing, and full-stack software engineering. Drawing from demanding academic and industrial backgrounds, our team combines high-level algorithmic expertise with the software craftsmanship essential for industrial reliability.

Our shared ambition: transformation of AI from a complex theoretical concept into an exceptionally effective, operational tool on the factory floor.

Our Core Expertise

AI R&D & Software Engineering: From designing our proprietary algorithms to optimizing our Edge software agent, our R&D engineers and full-stack developers build frugal architectures capable of processing high-resolution image streams in real time without heavy infrastructure or cloud dependency.
Pre-Sales & Application Engineering: Operating at the intersection of technology and the field, our pre-sales and application engineers work directly alongside quality managers and plant directors. They qualify use cases (optical, X-ray, infrared) and ensure seamless integration onto production lines.
Sales & Business Development: Our commercial teams support major industrial key accounts (automotive, aerospace, electronics) and structure our network of system integrators across Europe and North America to accelerate the deployment of our solution.

Our Engineering Culture

Field-First Mindset: Our engineers do not stay behind their screens. They immerse themselves in your plants to understand the concrete realities of production lines (line speeds, lighting variations, physical constraints) and ensure frictionless deployment.
Obsession with Simplicity: Our development team designs the interface around a golden rule: hide mathematical complexity to deliver an intuitive, business-focused tool built by and for quality technicians.
Sobriety by Design: Digital sobriety is not a marketing argument; it is the core directive of our R&D. Our researchers commit to designing ultra-efficient algorithms that maximize performance while minimizing hardware requirements.