Engrate offers an AI‑native API that provides a complete, auditable cost‑of‑energy calculation by aggregating spot prices, tariffs, fees, taxes and feed‑in rates in a single call. The platform abstracts regional regulatory rules and market data, enabling asset owners, renewable developers and virtual power plant operators to integrate accurate energy cost analytics without building internal expertise, speeding market entry and reducing maintenance overhead.
Funding
$2.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

1OFounders
Product
Problem
Energy companies rely on legacy software, spreadsheets, and manual processes to calculate and manage the full cost of energy, which includes tariffs, fees, taxes, and feed‑in rates. This fragmented approach leads to inaccurate cost assessments, missed savings, and slow entry into new markets with constantly changing regulations.
Solution
Engrate provides an AI‑native API that delivers a complete Cost of Energy (CoE) calculation, aggregating spot prices, power tariffs, transfer fees, taxes, fixed fees, and feed‑in tariffs in a single, auditable response. The platform abstracts regional regulatory rules and market data, allowing asset owners, developers, and virtual power plant operators to integrate accurate energy cost analytics without building internal expertise. By exposing the API as a product, Engrate enables rapid deployment of cost‑optimisation tools, reduces time‑to‑market, and eliminates the maintenance burden of tracking regulatory changes across multiple jurisdictions.
Target Audience
Primary customers are asset owners, renewable project developers, and virtual power plant operators who need precise energy cost analytics to optimize operations and development decisions.
Features
- Unified CoE API that returns all cost components (spot price, tariffs, fees, taxes, feed‑in rates) in a single call
- Real‑time integration of regional market rules and regulatory updates across multiple energy markets
- AI‑driven data normalization and auditability to ensure transparent, reproducible cost calculations
- Developer‑focused SDKs and documentation for quick integration into existing energy management systems
- Scalable cloud infrastructure that supports high‑volume queries for portfolios of assets and greenfield projects