
Pat
Founded Year
2015Stage
Grant | AliveTotal Raised
$2.66MLast Raised
$160K | 8 yrs agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
-189 points in the past 30 days
About Pat
Pat is a company focused on enhancing conversational artificial intelligence (AI) through advanced Natural Language Understanding in various business sectors. Its platform provides human-like interactions by understanding context, synonyms, and conversation history, aiming for high accuracy in conversation regardless of language or domain. It was formerly known as Thinking Solutions. It was founded in 2015 and is based in Palo Alto, California.
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Pat's Products & Differentiators
Digital Assistant
We are raising capital to build the language core for our deep symbolics model. Our GTM is focused on supporting financial services products like digital assistants.
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Expert Collections containing Pat
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Pat is included in 1 Expert Collection, including Artificial Intelligence.
Artificial Intelligence
6,888 items
Pat Patents
Pat has filed 57 patents.
The 3 most popular patent topics include:
- ion channels
- integral membrane proteins
- electrophysiology

Application Date | Grant Date | Title | Related Topics | Status |
---|---|---|---|---|
1/23/2019 | 4/9/2024 | Natural language processing, Computational linguistics, Artificial intelligence, Speech recognition, Linguistics | Grant |
Application Date | 1/23/2019 |
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Grant Date | 4/9/2024 |
Title | |
Related Topics | Natural language processing, Computational linguistics, Artificial intelligence, Speech recognition, Linguistics |
Status | Grant |
Latest Pat News
Oct 25, 2024
Friday, 25 October, 2024 A new handheld scanner, developed at University College London (UCL) and trialled on hospital patients, can generate highly detailed 3D photoacoustic images in just seconds, offering the potential for early disease diagnosis. Described in the journal Nature Biomedical Engineering , the technology can deliver photoacoustic tomography (PAT) imaging scans to doctors in real time, providing them with intricate images of blood vessels and helping inform patient care. The scanner could help to diagnose cancer, cardiovascular disease and arthritis in 3–5 years’ time, subject to further testing. PAT uses laser-generated ultrasound waves to visualise subtle changes (an early marker of disease) in the less-than-millimetre-scale veins and arteries up to 15 mm deep in human tissues. However, up until now, existing PAT technology has been too slow to produce high enough quality 3D images for use by clinicians, particularly if the patient moves at all. By reducing that time to just a few seconds, image quality is improved and more suitable for people who are frail or poorly. “We’ve come a long way with photoacoustic imaging in recent years, but there were still barriers to using it in the clinic,” said UCL Professor Paul Beard, corresponding author on the study. “The breakthrough in this study is the acceleration in the time it takes to acquire images, which is between 100 and 1000 times faster than previous scanners. “This speed avoids motion-induced blurring, providing highly detailed images of a quality that no other scanner can provide. It also means that rather than taking five minutes or longer, images can be acquired in real time, making it possible to visualise dynamic physiological events. “These technical advances make the system suitable for clinical use for the first time, allowing us to look at aspects of human biology and disease that we haven’t been able to before.” The team tested the scanner during preclinical tests on 10 patients with type 2 diabetes, rheumatoid arthritis or breast cancer, along with seven healthy volunteers; they also compared the PAT scans to clinical scans taken at University College London Hospitals NHS Foundation Trust (UCLH). In three diabetes patients, the scanner was able to produce detailed 3D images of the microvasculature in the feet, highlighting deformities and structural changes in the vessels. The scanner was also used to visualise the skin inflammation linked to breast cancer. “One of the complications often suffered by people with diabetes is low blood flow in the extremities, such as the feet and lower legs, due to damage to the tiny blood vessels in these areas, but until now we haven’t been able to see exactly what is happening to cause this damage or characterise how it develops,” said senior author Andrew Plumb, a consultant radiologist at UCLH. “In one of our patients, we could see smooth, uniform vessels in the left foot and deformed, squiggly vessels in the same region of the right foot, indicative of problems that may lead to tissue damage in future. Photoacoustic imaging could give us much more detailed information to facilitate early diagnosis, as well as better understand disease progression more generally.” Beard said the new scanner could also be used to assess inflammatory arthritis, which requires scanning all 20 finger joints in both hands. This could be done in a few minutes — older PAT scanners take nearly an hour. Image caption: Photoacoustic tomography image of diseased vasculature in the foot of a patient with type 2 diabetes. Image credit: UCL. Related News
Pat Frequently Asked Questions (FAQ)
When was Pat founded?
Pat was founded in 2015.
Where is Pat's headquarters?
Pat's headquarters is located at 2345 Yale Street, Palo Alto.
What is Pat's latest funding round?
Pat's latest funding round is Grant.
How much did Pat raise?
Pat raised a total of $2.66M.
Who are the investors of Pat?
Investors of Pat include Australia Entrepreneurs' Programme.
Who are Pat's competitors?
Competitors of Pat include Anthropic and 7 more.
What products does Pat offer?
Pat's products include Digital Assistant and 1 more.
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Compare Pat to Competitors

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xAI focuses on artificial intelligence, specifically in the domain of language learning models. The company's main product, Grok, is designed to answer questions and suggest potential inquiries, functioning as a research assistant that helps users find information online. xAI primarily caters to the AI research community and the general public seeking AI tools for information retrieval and understanding. It was founded in 2023 and is based in Burlingame, California.

Adept is a machine learning research and product lab focused on developing general intelligence within the technology sector. The company specializes in creating artificial intelligence models that understand and execute tasks on a computer based on natural language commands. Adept's technology is designed to facilitate collaboration between humans and computers, enhancing productivity and enabling informed decisions. It was founded in 2022 and is based in San Francisco, California.

Anthropic is an AI safety and research company that specializes in developing advanced AI systems. The company's main offerings include AI research and products that prioritize safety, with a focus on creating conversational AI assistants for enterprise use. Anthropic primarily serves sectors that require reliable and interpretable AI technology. It was founded in 2021 and is based in San Francisco, California.

Symbl.ai is a technology company specializing in real-time artificial intelligence for processing human conversations across various communication channels. The company offers a platform that captures and analyzes live call data to generate actionable insights, such as sentiment analysis, intent detection, and compliance monitoring. Symbl.ai's solutions cater to a range of sectors including customer service, sales, and data analytics. It was founded in 2018 and is based in Seattle, Washington.

Sakana AI focuses on developing artificial intelligence through nature-inspired foundation models within the research and development sector. The company's main offering includes creating a new kind of foundation model that draws inspiration from natural intelligence, designed to advance the field of AI. It was founded in 2023 and is based in Tokyo, Japan.
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