Blueskeye
Ethical AI for the analysis of Medically Relevant Expressive Behaviour.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor investor investor | €0.0 | round |
| investor | €0.0 | round | |
* | £3.4m | Early VC | |
| Total Funding | 000k | ||
| USD | 2021 | 2022 | 2023 |
|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 |
| % growth | - | 82 % | 107 % |
| 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
Related Content
BlueSkeye is a pioneering startup that leverages artificial intelligence (AI) to analyze human behavior through facial and voice recognition. The company's primary market is the healthcare sector, where its technology is used to interpret medically relevant behavior, aiding in diagnosis, treatment, and patient monitoring. This is achieved by using machine learning to analyze face and voice data, providing objective and automatic insights that can improve people's quality of life in various settings, such as at home, in their cars, and at work.
BlueSkeye's business model revolves around the development and sale of its software development kit (SDK), which allows other businesses to integrate its technology into their own applications. This technology is currently being tested in clinical trials with the NHS Trusts in Nottinghamshire, indicating its potential for widespread use in the healthcare industry.
Additionally, BlueSkeye is exploring the automotive sector with its B-Automotive technology, aiming to enhance passenger experience by making vehicles safer, smarter, and more responsive to passenger mood and health.
In terms of revenue generation, BlueSkeye likely earns income through the sale of its SDK and potentially through partnerships or licensing agreements with healthcare and automotive companies that use its technology.
Keywords: Artificial Intelligence, Human Behavior Analysis, Healthcare Technology, Machine Learning, Voice Recognition, Facial Recognition, Software Development Kit, Clinical Trials, Automotive Technology, Patient Monitoring.