Cogniac provides a computer-vision platform that connects machine-vision cameras, security cameras, drones, smartphones, and other image sources to generate custom AI models for tasks like damage detection, quality-control inspections, counting, and threat detection. The platform continuously improves classification and prediction via a feedback loop, prioritizing low-confidence predictions for human review and adapting models from archival imagery or user-entered data. Cogniac says its deep convolutional neural network models can reach over 90% accuracy prior to human corrections and support cloud, gateway, on-premises, and hybrid deployments. Customers include Georgia Pacific, Bobcat, and Trimac Transportation, and the company has participated in trials and contracts with U.S. government agencies, though it says government work is a small portion of its business. Cogniac is a member of Nvidia’s Inception accelerator program and lists partners such as SAP and Rockwell Automation. The company plans to use new funding to expand its workforce and ramp up R&D around computer vision, data storage, and human–AI interactivity. Cogniac provides an enterprise-class AI image and video analysis platform that builds inspection workflows for enterprises. Its deep-learning platform automates visual inspection tasks such as classifying, detecting, counting and measuring to human-level accuracy and beyond. The company serves global customers across automotive, industrial, rail, packaging, logistics, security and defense. Led by CEO Chuck Myers, Cogniac intends to use the new funding to hire key staff, expand sales and marketing, and support growth. Since its 2019 Series A, the company has experienced 78% year-over-year revenue growth and expanded its customer base. The business raised a $10M Series B to fund these initiatives.

Total raised

$30M

Funding rounds

2

Latest round

Series B

Latest activity

Oct 2021