HEAVY.AI
Solutions for extracting decision-quality information from massive datasets.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor investor investor investor | €0.0 | round |
| investor | €0.0 | round | |
| investor investor | €0.0 | round | |
| investor investor investor investor | €0.0 | round | |
| investor investor investor | €0.0 | round | |
$55.0m | Series C | ||
| Total Funding | 000k | ||
| USD | 2022 | 2023 |
|---|---|---|
| Revenues | 0000 | 0000 |
| 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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Heavy.ai is a cutting-edge analytics company that specializes in providing advanced data visualization and analytics solutions for businesses and government entities. Operating in the big data and geospatial analytics market, Heavy.ai empowers its clients to uncover high-value opportunities and risks hidden within their extensive location and time-based data. The company's platform leverages GPU and CPU parallel computing to deliver rapid, interactive data analysis, making it particularly valuable for time-sensitive, high-impact decision-making processes.
Heavy.ai serves a diverse range of industries including telecommunications, public sector, energy, and utilities. Its business model revolves around offering both on-premises and cloud-based solutions, allowing clients to choose the deployment method that best suits their needs. Revenue is generated through a combination of software licensing, subscription fees, and professional services.
The platform's core features include advanced analytics rendering, immersive dashboards, and the ability to integrate seamlessly with popular data science tools, enhancing their performance by up to 100 times. Heavy.ai's technology is designed to be user-friendly, enabling clients to combine their operational knowledge with accelerated graphics and computing capabilities for more effective data-driven decisions.
Keywords: advanced analytics, data visualization, geospatial analytics, GPU computing, CPU parallel computing, big data, time-sensitive decisions, immersive dashboards, software licensing, cloud solutions.