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§ Private Profile · San Jose, CA, USA
AI platform developer providing no-code computer vision and deep neural networks for visual inspection in industrial sectors.
Based in San Jose, California, Cogniac develops a no-code enterprise artificial intelligence platform that utilizes deep neural networks and computer vision to automate visual inspection tasks across industrial sectors. The SaaS company operates with a workforce of 49 employees and has secured a $20 million Series B funding round to scale its commercial operations. Its technology is deployed by major manufacturing and transportation corporations, including Ford, BNSF Railway, and Doosan Bobcat, to extract actionable intelligence from visual data. As an NVIDIA Metropolis partner, the organization leverages advanced hardware to support large deployments, such as the 200 convolutional neural networks utilized in production by BNSF Railway. The firm recently expanded its market reach through a strategic partnership with Syntax Systems to further integrate computer vision into heavy equipment workflows. Cogniac was founded in 2015 by Bill Kish.
Cogniac has raised $30.0M across 2 funding rounds.
Cogniac has raised $30.0M in total across 2 funding rounds.
Cogniac has raised $30.0M in total across 2 funding rounds.
Cogniac's investors include National Grid Partners, Cisco Investments, DreamIt Ventures, Insight Partners, Saudi Aramco Energy Ventures, Sixth Street, Autotech Ventures, Energy Innovation Capital, London Technology Club, Vanedge Capital, Wing Venture Capital, George Kaiser Family Foundation/Energy Innovation Capital.
Cogniac Corporation is an AI-powered computer vision software company headquartered in San Jose, California, offering a low-code, enterprise-class platform that automates visual inspection and analysis tasks.[1][2][3][4] The platform leverages deep neural networks to extract actionable intelligence from images and video, solving problems like defect detection, quality control, safety monitoring, and asset management for enterprises in industries including manufacturing, transportation, utilities, healthcare, automotive, railway, logistics, packaging, safety/security, and government.[1][2][4][5] It serves major customers such as National Grid, BNSF, CSX Transportation, Toyota, Mayo Clinic, Hess Corporation, and SAP, processing over 50 million images monthly across three continents and achieving up to 99% accuracy in days with minimal training data (as few as 100 images).[1][2] Cogniac demonstrates strong growth momentum, with $40.3 million in total funding (including a $20 million round), recognition as a "Leader" in the 2022 IDC MarketScape for Worldwide General-Purpose Computer Vision AI Software Platforms, and integrations like Cisco's Global Price List and board addition of Brian Krzanich.[2][3][4]
Founded in 2015 in San Jose, California, Cogniac emerged from a team with expertise in artificial intelligence, enterprise software, and technology leadership, addressing the need to democratize advanced computer vision for non-experts.[1][3] CEO Chuck Myers, holding patents in wireless technology, automotive, and facial recognition, leads the company, which has participated in the SAP.io startup accelerator for about two years and secured $40 million in venture capital.[2][3] Early traction built on its no-code platform's ability to rapidly deploy custom AI models, evolving from core visual task automation to handling mission-critical use cases like rail monitoring (22 million train wheels and 30,000+ miles of track monthly) and manufacturing defect detection.[2][4]
Cogniac rides the explosive growth of AI-driven computer vision, fueled by surging visual data from IoT cameras, drones, and sensors in industrial automation, where manual inspection is error-prone and costly.[1][2][4] Timing aligns with Industry 4.0 trends, post-2022 AI advancements, and demand for scalable, no-expertise tools amid labor shortages—market forces like rising defect costs in manufacturing ($100B+ annually globally) and regulatory pressures in rail/safety favor its efficiency gains.[2][4][5] It influences the ecosystem by democratizing deep learning, enabling non-tech enterprises to operationalize AI (e.g., railways monitoring vast infrastructure), boosting productivity, and setting benchmarks for adaptive platforms as seen in IDC leadership and partnerships with SAP/Cisco.[2][3][4]
Cogniac is poised for expansion through deeper enterprise integrations, leveraging its processing scale and HPO for emerging use cases like real-time government/defense monitoring and logistics optimization.[4][5] Trends in edge AI, multimodal data fusion, and generative AI enhancements will amplify its platform, potentially driving accuracy beyond 99% and new revenue from managed services.[2][5] Its influence may evolve from niche visual automation leader to broader operational AI enabler, especially as visual data volumes explode—watch for acquisitions or IPO amid sustained funding and customer wins, redefining efficiency as promised in its founding vision.[2][4]
Cogniac has raised $30.0M across 2 funding rounds. Most recently, it raised $20.0M Series B in October 2021.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Oct 1, 2021 | $20M Series B | National Grid Partners | Cisco Investments, Dreamit Ventures, Insight Partners, Saudi Aramco Energy Ventures, Sixth Street, Autotech Ventures, Energy Innovation Capital, London Technology Club, Vanedge Capital, Wing Venture Capital | Announced |
| Sep 29, 2020 | $10M Series B | Autotech Ventures | George Kaiser Family Foundation/energy Innovation Capital, Vanedge Capital, Wing Venture Capital, Yellowstone Ventures | Announced |