DeepHawk
Booth 4131-C
#Manufacturing #AutomatedQualityInspection #Low False Positives #Fast Deployment
about us
DeepHawk is an AI-driven, software-only platform specializing in automated visual quality control for manufacturing. The company, which is based in the US and France , is trusted by large manufacturers, such as Stellantis.
DeepHawk offers a breakthrough and proprietary technology based on Frugal AI, delivering very high performance to solve the significant hurdles often presented by existing AI solutions, such such as slow speeds, insufficient accuracy, and challenging implementation. The software specializes in inspecting mechanical parts and electronic boards.
The Frugal AI model dramatically increases quality control performance by providing:
Fast Training: The learning phase is reduced from several weeks down to just 30 minutes. This process requires only 50 images of OK-products.
High Accuracy: The software offers strong detection capabilities and drastically reduces the number of false positives to less than 1% , detecting any defect.
Universal Compatibility: DeepHawk connects to any existing vision systems (visible, X-ray,CTSCans, etc.) and runs on-prem.
Rapid ROI: The savings and productivity increase lead a rapid return on investment, typically less than six months.
DeepHawk’s solution makes the transition to automatic visual quality control simple, fast, and highly accurate. Ask for your own demo at contact@deephawk.ai or on our website www.deephawk.ai.
DeepHawk develops AI-powered visual quality control software that detects product anomalies in real time on production lines. Our lightweight edge solution integrates seamlessly with existing vision systems (cameras, X-ray, CT, thermal) and requires no AI expertise to deploy. With training in just 30 minutes using 50 “good” images, DeepHawk enables manufacturers to achieve faster inspection, higher accuracy, and reduced waste—revolutionizing quality control across automotive, electronics, and battery industries.
OUR INNOVATION :
Frugal AI Technology for Visual Quality Control.
DeepHawk’s proprietary Frugal AI model is the key innovation, offering a breakthrough in automated visual quality control. Its defining feature is a dramatically reduced learning phase: training takes only 30 minutes using just 50 images of OK-products. This exceptional speed and data efficiency, combined with strong detection capabilities and a very low false positive rate (less than 1%) , ensures very high performance and a rapid return on investment, typically in less than six months.
OUR ECO-RESPONSIBLE COMMITMENTS :
Traditional deep learning models demand massive datasets, high GPU power, and extensive training cycles, consuming substantial computational energy and generating large carbon emissions.
DeepHawk’s Frugal AI takes a radically different approach:
It operates on small, lightweight neural networks, trained with a very limited dataset (≈ 50 good images).
These neural networks collaborate in synergy..
As a result, computation is localized and training can be done on standard industrial PCs with a GPU, without the need for high-power cloud servers or large GPUs.
This efficient architecture minimizes both the energy required for data processing and the infrastructure footprint.
Consequently, DeepHawk achieves a 375× reduction in carbon footprint compared to traditional AI inspection systems — while maintaining equal or superior accuracy.
CONTACT US
CEO & Cofounder2B rue de la Châtaigneraie – 35510 Cesson-Sévigné – FRANCE
EMAIL: gilles@deephawk.ai
TEL : +1 (617) 651-7423
https://deephawk.ai