manufacturing-intelligence
(5)
Aizon
Aizon is a San Francisco-based software company that builds AI solutions exclusively for pharmaceutical and biotech manufacturing. Its GxP-compliant platform ingests structured and unstructured production data to run electronic batch records, real-time process monitoring, predictive analytics and, increasingly, agentic AI that helps quality and operations teams cut deviations, improve yield and speed batch review. Formerly known as Bigfinite and founded in 2014, the company has raised roughly $45 million and counts pharma names such as Grifols and Curia among its users.
SirenOpt
SirenOpt is a San Leandro deep-tech company turning measurement blind spots in advanced manufacturing into real-time intelligence. Its PlasmaSens platform uses cold atmospheric plasma plus machine learning to non-destructively fingerprint materials on the production line, helping battery, semiconductor, aerospace, and power generation makers see what was previously invisible.
Squint
Squint is a San Francisco Manufacturing Intelligence company that uses AI and augmented reality to capture the know-how of experienced factory operators and hand it back to the whole floor. Through a mobile app that recognizes machinery the way FaceID recognizes faces, Squint turns scattered tribal knowledge into instant, contextual guidance - cutting training time, reducing downtime, and standardizing work across hundreds of Fortune 500 factories.
Synergies Intelligent Systems, Inc.
Synergies Intelligent Systems builds JarviX, a no-code, conversational AI analytics platform that lets factory managers and business teams 'talk to their data' without writing code. Founded in 2016 by MIT-trained, ex-Foxconn engineer Dr. Michael Chang, the company brings Industry 4.0-grade augmented analytics, AutoML and digital-twin dashboards to mid-size manufacturers and enterprises across manufacturing, supply chain, finance and retail.
Jared O'Leary
Jared O'Leary is the Co-Founder and CEO of SirenOpt, a deep-tech startup commercializing PlasmaSens - a manufacturing intelligence platform that uses cold atmospheric plasma and AI to perform real-time, non-destructive materials characterization. A Stanford Chemical Engineering graduate with a Ph.D. from UC Berkeley, O'Leary spun SirenOpt out of his doctoral research with advisor Professor Ali Mesbah in 2022. The platform can generate 213,000 data points per measurement in milliseconds without destroying the sample, targeting battery manufacturing, aerospace, semiconductors, and other advanced manufacturing sectors. SirenOpt has raised $16.1M total, including a $6.5M strategic round led by Hitachi Ventures and JLR's InMotion Ventures in 2025, plus a $2.4M California Energy Commission BRIDGE grant for battery electrode applications.