The company develops on-chip telemetry to reduce Defective Parts per Million
Israeli startup ProteanTecs, which applies machine learning to novel data created by chip-embedded hardware agents, has raised $45 million in a growth equity funding round.
ProteanTecs’ Proteus software platform applies analytics to data created by its on-chip agents. Alerts on faults are triggered before becoming failures, allowing for predictive maintenance.
The funding round was led by Koch Disruptive Technologies (KDT) with participation from Valor Equity Partners and Atreides Management, as well as existing investors.
Taking the pulse of your hardware
"This new funding will assure market coverage as we leverage the existing commercial traction," Shai Cohen, CEO of ProteanTecs, said. "We'll use the investment to enhance our product offering and expand our global footprint so that we can offer greater value to chip vendors, system integrators, and service providers, as they navigate the challenges of scale in the industry.”
Founded in 2017, ProteanTecs enables digital systems to report on their own performance and health throughout their lifecycle.
In chip design, hundreds of possible manufacturing variants are modeled to provide insights into the chip’s performance, power, and parametric yield. ProteanTecs develops hardware agents that can be embedded during the design stage to provide data on the chip’s health, which is then analyzed using deep learning.
Before chip production, design simulations across various manufacturing model variants are created and loaded into the cloud-based platform, which provides additional information during production.
"Increased design complexity and customer expectations require new ways to track product performance, especially as the world becomes more reliant on electronics," said Eli Groner, managing director at KDT. "It's not only about improving processes. It's about reinventing the ecosystem's way of approaching challenges."