Applied XLabs
Building reliable information system powered by editorial algorithms that combine the precision of data science with the high standards of journalism.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor investor investor investor investor | €0.0 | round |
| investor investor investor investor investor | €0.0 | round | |
| N/A | €0.0 | round | |
* | N/A | $1.0m | Seed |
| Total Funding | 000k | ||
| USD | 2021 | 2022 | 2023 |
|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 |
| % growth | - | 100 % | 80 % |
| 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
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AppliedXL is a technology company that has developed an AI-powered real-time information system. The company specializes in event-detection algorithms that analyze data to identify early-risk indicators and generate insights, with an initial focus on the biotech industry.
AppliedXL's platform is designed to automate the process of data gathering and analysis for knowledge workers, including journalists and financial analysts. The system connects disparate data points to surface important signals and forecast future implications, effectively acting as an AI analyst. The company's approach combines large language models with human expertise to enhance strategic decision-making.
The business model appears to be centered around providing access to its proprietary platform and the insights it generates. Clients are likely to be organizations that rely on timely and accurate information for their operations, such as news media, financial institutions, and corporations. The company is a spin-off from Newlab and The Boston Globe, which suggests a strong foundation in both technology and journalism.
Keywords: AI analyst, event detection, real-time information, data analysis, computational journalism, risk indicators, biotech industry, knowledge workers, large language models, strategic decision-making.