
Gridsight
AI-powered load flow models for electrical utilities, enabling efficient support for solar, batteries, and EVs with 90% accuracy.
Date | Investors | Amount | Round |
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- | investor | €0.0 | round |
investor | €0.0 | round | |
* | AUD7.5m | Series A | |
Total Funding | 000k |
GridSight.ai is a data-driven startup that operates in the energy sector, specifically focusing on distributed energy resources (DER). The company provides a range of services designed to enhance the efficiency and effectiveness of energy networks. Its primary offerings include one-click hosting capacity and network performance reports, which provide instant visibility into the performance of energy networks.
The company's services are primarily targeted at industry leaders in the energy sector, who can use GridSight.ai's data to make informed decisions about their networks. This includes the ability to validate the connectivity model of low voltage (LV) networks, diagnose voltage-related complaints, and verify the installed capacity and compliance of behind-the-meter DER.
GridSight.ai's business model is based on providing these services to clients, likely on a subscription or per-use basis. The company's services are powered by machine learning, which allows them to accurately calculate LV hosting capacity without the need for geographic information systems (GIS) or impedance models. This makes their services more accessible and easier to use for clients, potentially giving them a competitive edge in the market.
In addition, GridSight.ai offers operational solution optimisations, which can help clients understand network constraints, calculate hosting capacity, and make operational improvements. This can lead to increased efficiency and cost savings for clients, further enhancing the value of GridSight.ai's services.
Keywords: Distributed Energy Resources, Low Voltage Networks, Machine Learning, Network Performance Reports, Hosting Capacity, Operational Solution Optimisations, Energy Sector, Data-Driven, Connectivity Model Validation, Behind-The-Meter DER Verification.