
Break-event
Helps live music professionals to reduce uncertainty and predict concerts success.
Date | Investors | Amount | Round |
---|---|---|---|
N/A | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
* | €870k | Seed | |
Total Funding | 000k |
USD | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | 150 % |
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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Break-Event.com is a data-driven startup that leverages artificial intelligence (AI) to predict the success of live events. The company operates in the event planning and entertainment industry, serving a diverse clientele that includes bookers, managers, and venue owners.
The core of Break-Event's business model revolves around data analysis and automation. The company collects and compiles data from various sources to provide detailed information about artists. This information is then used to identify new opportunities and predict the potential success of live events. The company's AI models are designed to minimize risk and maximize returns, making it an attractive option for clients looking to make informed business decisions.
In addition to data analysis, Break-Event also offers process automation services. This feature makes accessing and interpreting data more intuitive and efficient for clients. The company's platform also includes a calendar feature, allowing clients to collect event analysis and predictions and access them at any time. This focus on organization and accessibility further enhances the value proposition of Break-Event's services.
The company generates revenue through a subscription-based model. Clients pay a fee to access the platform and utilize its data analysis and prediction tools. The company's unique blend of data science and AI, coupled with its focus on customer-centric features, positions it well in the growing market for data-driven event planning solutions.
Keywords: Data Analysis, Event Planning, Artificial Intelligence, Predictive Modeling, Process Automation, Subscription Model, Entertainment Industry, Risk Management, Customer-Centric, Data-Driven.