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§ Private Profile · Seattle, WA, USA
Tignis is a technology company.
Tignis develops AI-powered software for industrial process control and monitoring, leveraging machine learning and digital twin technology. Its product optimizes manufacturing, especially in semiconductor fabrication, by providing predictive insights. This integrates a strong physics and engineering foundation with advanced artificial intelligence to continuously improve physical assets and processes.
Founded in 2017 by Jon Herlocker, Tignis originated from the insight that industrial operations required sophisticated AI to optimize complex physical systems. Herlocker, a former computer science professor and successful entrepreneur, envisioned a platform applying advanced analytics to real-time manufacturing data, thereby enhancing efficiency and yield.
The company’s solutions target manufacturing and process industries, including semiconductor fabs and operators seeking greater productivity. Tignis's vision focuses on transforming industrial operations through intelligent, data-driven insights, empowering factories to achieve higher automation, precision, and performance by connecting physical processes with artificial intelligence.
Tignis has raised $16.0M across 4 funding rounds.
Tignis has raised $16.0M in total across 4 funding rounds.
Tignis has raised $16.0M across 4 funding rounds. Most recently, it raised $7.0M Series A in May 2022.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| May 1, 2022 | $7M Series A | DN Capital | Amadeus Capital Partners, BILL, Clear Ventures, Engineering Capital, Founders Co OP, Pioneer Square Labs, Sure Ventures, Alexander Algard, Fred VAN DEN Bosch, Mark Williamson, Sujal Patel, Harel Kodesh, Paul Maritz | Announced |
| Aug 5, 2021 | $1M Venture Round | Peter Newell | — | Announced |
| May 1, 2019 | $5M Seed | — | Clear Ventures, Dell Technologies Capital, DN Capital, Engineering Capital, Lightspeed Venture Partners | Announced |
| Jun 1, 2018 | $3M Seed | — | Clear Ventures, DN Capital, Sure Ventures, Fred VAN DEN Bosch | Announced |
Tignis has raised $16.0M in total across 4 funding rounds.
Tignis's investors include DN Capital, Amadeus Capital Partners, BILL, Clear Ventures, Engineering Capital, Founders Co-op, Pioneer Square Labs, Sure, Alexander Algard, Fred van den Bosch, Mark Williamson, Sujal Patel.
Tignis is a technology company specializing in AI-powered process control and monitoring software for the semiconductor manufacturing industry. It builds advanced machine learning solutions that enable semiconductor equipment manufacturers, wafer fabs, and component suppliers to optimize manufacturing processes, increase yield, reduce downtime, and lower operating costs. Its products, such as PAICe Monitor and PAICe Maker, provide real-time anomaly detection, predictive maintenance, and automated process adjustments, serving a critical role in improving semiconductor fabrication efficiency[1][2][3][5].
Founded in 2017 and headquartered in Seattle, Washington, Tignis was created to bring true AI capabilities to complex semiconductor and industrial manufacturing processes. The company was founded by experts with backgrounds in physics and engineering, focusing on combining physics-based insights with AI and machine learning to revolutionize process control. Early traction came from partnerships with leading semiconductor equipment manufacturers and fabricators, establishing Tignis as a pioneer in AI-driven smart manufacturing solutions[1][2].
Tignis rides the wave of Industry 4.0 and smart manufacturing, where AI and machine learning are increasingly critical for optimizing complex industrial processes. The semiconductor industry’s demand for higher yields and lower costs amid growing global chip demand makes AI-driven process control essential. Tignis’s physics-informed AI approach addresses the unique challenges of semiconductor fabrication, where process variability and equipment complexity require sophisticated predictive and prescriptive analytics. Its acquisition by Cohu in 2024 underscores the strategic importance of AI in semiconductor manufacturing and reflects broader market forces pushing for automation and data-driven decision-making in advanced manufacturing[1][2][5].
Looking ahead, Tignis is positioned to deepen its impact through integration with Cohu’s broader semiconductor equipment and services portfolio, potentially expanding its AI capabilities across more manufacturing stages and equipment types. Trends such as increasing semiconductor complexity, demand for real-time edge analytics, and the push for sustainability and efficiency in manufacturing will shape its evolution. As AI becomes more embedded in industrial operations, Tignis’s physics-based machine learning approach could set new standards for predictive process control, influencing not only semiconductor manufacturing but also other advanced manufacturing sectors[2][5]. This trajectory ties back to Tignis’s founding vision of combining physics and AI to transform manufacturing processes fundamentally.