K Health | $50,000,000 | (Jul 2, 2024)
Fabriclore | $1,600,000 | (Jul 2, 2024)
Pieces for Developers | $13,500,000 | (Jul 2, 2024)
Tignis
United States
- Seattle, WA
- 13/05/2022
- Series A
- $7,200,000
Tignis offers a ready-to-use machine learning service to enable manufacturers and operators to continually improve physical assets and processes. Insights are provided in real-time so changes can be made even while systems are in use.
Our service enables you to quickly identify todayβs most critical issues, predict future problems before they occur and to optimize performance.
Our customers do not need to build and maintain machine learning and specialized software teams. We offer Tignis as a service in the cloud or as an edge computing solution so customers can easily use machine learning and AI to identify anomalies and patterns and then take action to improve quality and throughput.
- Industry IT Services and IT Consulting
- Website https://tignis.com/
- LinkedIn https://www.linkedin.com/company/tignis/about/
Related People
Jon HerlockerFounder
United States -
Seattle, Washington,
π ππ‘π¨ππππ§π¨π₯ππ‘π ππ’π π£ππ‘πππ¦ π§πππ§ ππ£π£ππ¬ ππ ππ₯π π£π¨ππππ‘π πππππ π’π π§ππ ππ’π π£ππ§ππ§ππ’π‘
According to McKinsey's "The State of AI in 2020" report:
15% of manufacturing companies report more than 10% increase in revenue due to application of AI
22% report decrease of costs by more than 10% due to AI.
ππ¨π§ ππ£π£ππ¬ππ‘π ππ ππ‘ π ππ‘π¨ππππ§π¨π₯ππ‘π ππ¦ πππ₯π
There are many obstacles.
Even if you've collected data, it's hard to know where to start.
Current AI tools require expensive and hard to find data scientists yet they don't understand the physics or practice of manufacturing.
AI needs to be trained, but rarely is there enough data about the exceptional use cases.
Every plant is a special snowflake - different configs, different sensors, different work processes, different software.
AI needs good clean data, but plant data starts out dirty (erroneous, missing, misaligned, mislabeled)
π§πππ‘ππ¦ ππ₯πππ§ππ¦ ππ‘π‘π’π©ππ§ππ’π‘π¦ π§π’ π’π©ππ₯ππ’π π ππ & ππ¨π§π’π ππ§ππ’π‘ π’ππ¦π§πππππ¦
We have a goal of making manufacturing more reliable, efficient, and autonomous.
Our team combines physics, mechanical, chemical, electrical, and petroleum engineers with world class software and AI experts.
Our approach is to combine the best of physics/engineering understanding with the latest in data driven machine learning.
Our solutions are not incremental, they are wildly new and innovative, such as:
A new analytics language for the digital twin - the Digital Twin Query Language.
A digital twin accelerator that takes complex physical simulations and makes them 10000x faster.
A multi-variable closed-loop controller leveraging AI/ML that continuously learns and improves with operation.
πͺππ’ ππ¦ π¨π¦ππ‘π π§πππ‘ππ¦?
Tignis technology is applied to analyze, monitor, and optimize hundreds of plants worldwide.
The next generation of 3D semiconductor manufacturing equipment will feature Tignis controllers.
We are working closely with semiconductor fabs.
πͺπ πππ‘ ππππ£ π¬π’π¨
The space is complicated, but we have experience doing this.
We can help you identify the low-hanging fruit that will yield increased revenue and decreased cost.
We will give you the tools to reach those goals.
And we will provide you with as little or as much expert help as you want.
Learn more at https://tignis.com.
Wify Technologies | $2,993,443 | (Jul 2, 2024)
N-Power Medicine, Inc. | Undisclosed Amount | (Jul 2, 2024)
Waypoint Bio | $14,500,000 | (Jul 2, 2024)
Feather | $6,429,480 | (Jul 2, 2024)
Blueroomcare Business | Undisclosed Amount | (Jul 2, 2024)
Innatera | $21,000,000 | (Jul 2, 2024)
Cautio | $778,300 | (Jul 2, 2024)
heymax.ai | Gives You a Free Trip, Every Year. | $2,600,000 | (Jul 2, 2024)