Tignis is a Seattle-based technology company that develops physics-driven AI process control and monitoring software for semiconductor manufacturing. Its PAICe product suite includes PAICe Maker (physics-driven AI computational modeling for equipment R&D and yield optimization) and PAICe Monitor (a digital twin query language for real-time monitoring and in-product fault diagnosis). Tignis’ technologies are currently in use by multiple top-five global semiconductor equipment companies and the company reports deployments in hundreds of facilities worldwide with signed contracts for next-generation tools. The company plans to use product development to advance sustainability and expand further into the semiconductor industry. Tignis positions its AI and machine-learning capabilities on a physics and engineering foundation to accelerate next-generation manufacturing, improve productivity, increase yield, shorten cycle time, and reduce costs and downtime. Tignis develops physics-driven, machine learning-enabled AI process-control software marketed as the PAICe product suite. PAICe Monitor provides a low-code interface for process engineers to find and investigate production problems, while PAICe Maker speeds simulations to enable adaptive, real-time control of complex OEM machinery. Its technology is deployed directly on semiconductor fabrication equipment and layered on top of existing manufacturing processes. Tignis reports deployments with multiple top-five global semiconductor equipment companies and signed contracts to provide AI process control for next-generation tools. The company says its technology is deployed in hundreds of facilities worldwide. Tignis will use the latest funding to expand its sales team and execute on current contracts to scale adoption; it previously completed the H4XLabs enterprise accelerator and has raised prior angel and seed funding. Tignis develops the PAICe Product Suite, an AI and machine-learning toolset that enables non-data scientists to build, validate, and deploy machine-learning solutions for manufacturing and process control. The suite includes a low-code programming language designed for machine analytics on digital twins and surrogate ML models that Tignis says are more accurate and up to one million times faster than physics-based simulations. Initial industry focus for the product is semiconductor manufacturing, oil and gas processing, and energy. The company says its technology is deployed in hundreds of facilities worldwide and aims to accelerate commercialization of AI capabilities for industrial customers. Tignis completed BMNT’s H4XLabs enterprise accelerator to support growth of its first commercial product. Financially, Tignis has raised $7.4M in angel and seed funding since its 2017 founding and announced a $1M investment from BMNT to accelerate product growth.

Total raised

$8M

Funding rounds

3

Latest round

Series A

Latest activity

May 2022