Tignis is a technology company.
Tignis has raised $15.0M across 3 funding rounds.
Tignis has raised $15.0M in total across 3 funding rounds.
Tignis has raised $15.0M in total across 3 funding rounds.
Tignis's investors include Amadeus Capital Partners, BILL, Clear Ventures, DN Capital, Engineering Capital, Founders Co-op, Founders' Co-op, Pioneer Square Labs, Sure, Alexander Algard, Fred van den Bosch, Mark Williamson.
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.
Tignis has raised $15.0M across 3 funding rounds. Most recently, it raised $7.0M Series A in May 2022.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| May 1, 2022 | $7.0M Series A | Amadeus Capital Partners, BILL, Clear Ventures, DN Capital, Engineering Capital, Founders Co-op, Founders' Co-op, Pioneer Square Labs, Sure, Alexander Algard, Fred van den Bosch, Mark Williamson, Sujal Patel | |
| May 1, 2019 | $5.0M Seed | Clear Ventures, Dell Technologies Capital, DN Capital, Engineering Capital, Lightspeed Venture Partners | |
| Jun 1, 2018 | $3.0M Seed | Clear Ventures, DN Capital, Sure, Fred van den Bosch |