Tignis
IT company that enables hardware and software vendors to continually monitor performance data while their products are in use.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor investor | €0.0 | round |
| N/A | €0.0 | round | |
| investor investor investor | €0.0 | round | |
| investor investor | €0.0 | round | |
| investor investor | €0.0 Valuation: €0.0 | round | |
| investor investor investor investor | €0.0 | round | |
* | N/A | Acquisition | |
| Total Funding | 000k | ||
| USD | 2021 | 2022 | 2023 |
|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 |
| % growth | - | - | 24 % |
| EBITDA | 0000 | 0000 | 0000 |
| Profit | 0000 | 0000 | 0000 |
| EV | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Tignis, founded in 2017 by Jon Herlocker, Matt McLaughlin, and Mark Huang, is a developer of AI and machine learning solutions for the semiconductor industry.
Jon Herlocker, the CEO, co-founded Tignis after his tenure at VMware as Vice President and CTO of the company's cloud management business unit. This background in cloud and enterprise software heavily influenced the direction of Tignis.
The company provides physics-driven AI models that allow semiconductor equipment manufacturers, wafer fabs, and component suppliers to monitor and control their manufacturing processes. By combining physics-based models with machine learning, the system can create a digital twin of a physical asset. This allows for real-time insights and predictive maintenance, which helps to improve production yields and overall equipment effectiveness.
Tignis was acquired by Cohu, a supplier of semiconductor test and inspection handlers, to enhance Cohu's data analytics and AI platform.
Keywords: semiconductor, process control, machine learning, digital twin, AI analytics, wafer fabrication, yield optimization, predictive maintenance, Cohu, Jon Herlocker