Cipher Sports Technology Group
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| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor | €0.0 | round |
* | AUD5.0m | Series A | |
| Total Funding | 000k | ||
| USD | 2022 | 2023 |
|---|---|---|
| Revenues | 0000 | 0000 |
| % growth | - | 156 % |
| EBITDA | 0000 | 0000 |
| Profit | 0000 | 0000 |
| EV | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 |
Source: Dealroom estimates
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CipherSports.io is a sports technology startup that leverages artificial intelligence and machine learning to provide data-driven insights for sports betting. The company serves a broad clientele, including sports enthusiasts, betting companies, and brands interested in sports data. Operating in the sports betting market, CipherSports.io has carved a niche for itself by offering over 70 data models and running more than 260 million event simulations annually.
The business model of CipherSports.io is centered around providing accurate forecasts for over 26,000 events each year. This is achieved through the expertise of its team, which boasts over 50 years of combined industry experience. The company's founders have a rich background in sports betting, sports tech businesses, and data science, which gives them a unique edge in the industry.
CipherSports.io generates revenue through its data-driven services, which include providing predictions and content for various sports. The company also partners with other brands, such as Tabcorp, to expand its product offerings and operations.
In terms of leadership, the company is steered by a team of seasoned professionals. The CEO is a sports enthusiast with a knack for deal-making, while the COO, a young entrepreneur with several industry recognitions, oversees operations, product, people, and everything in between. The CTO, with over 20 years of profitable sports betting experience, is the company's tech guru.
In summary, CipherSports.io is a promising startup in the sports tech industry, leveraging AI and machine learning to provide data-driven insights for sports betting.
Keywords: Sports Technology, Artificial Intelligence, Machine Learning, Sports Betting, Data-Driven Insights, Event Simulations, Industry Experience, Predictions, Partnerships, Leadership.