Eneryield
Provides machine learning algorithms for intelligent energy analytics and control of electricity flow.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor | €0.0 | round |
| investor | €0.0 | round | |
| investor | €0.0 | round | |
* | N/A | Seed | |
| Total Funding | 000k | ||
| EUR | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
|---|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | 284 % | 116 % | 43 % | 237 % | 82 % |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % EBITDA margin | - | (3 %) | 6 % | 5 % | - | - |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % profit margin | (18 %) | (10 %) | (1 %) | (1 %) | (32 %) | (26 %) |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article
Related Content
Eneryield is a tech startup that operates in the energy sector, specifically focusing on electric power systems. The company leverages artificial intelligence (AI) and machine learning (ML) technologies to predict potential faults and failures in electric power systems. This includes systems such as underground, underwater, and overhead power lines, as well as transformers.
Eneryield's primary clients are utility companies and other entities that manage large-scale electric power systems. By using AI and ML, the company can analyze historical data and trends, providing fine-grained analytics and forecasts. This allows its clients to proactively manage their systems, identifying potential issues before they become significant problems.
The company's business model revolves around providing these AI-based solutions to its clients. Eneryield makes money by charging for its services, which include grid health assessment, root cause identification, and localization of power quality problems. The goal is to minimize energy losses due to these problems, saving money for its clients in the long run.
Recently, Eneryield has been participating in the Techstars Alabama EnergTech accelerator, which suggests that the company is actively seeking to grow and expand its operations. The company also collaborates with other entities, such as Unipower, to offer ML-based fault prediction services.
In summary, Eneryield is a tech startup that uses AI and ML to predict and prevent faults in electric power systems, serving utility companies and similar entities.
Keywords: Tech Startup, Artificial Intelligence, Machine Learning, Electric Power Systems, Fault Prediction, Utility Companies, Grid Health Assessment, Power Quality Problems, Energy Loss Minimization, Techstars Alabama EnergTech Accelerator.