Terranow provides a generative‑AI powered analytics platform that automatically creates diagnostic, descriptive, and predictive models for energy producers, utilities, and retailers. By ingesting raw operational, customer, geospatial, and weather data, the system generates custom forecasting, clustering, and anomaly‑detection code on demand, delivering high‑accuracy demand forecasts, asset health insights, and real‑time alerts through a unified web interface and API.
Funding
Funding not disclosed
Founders
Product
Problem
Energy producers and utilities struggle to extract actionable insights from massive, heterogeneous datasets, making accurate demand forecasting, asset health monitoring, and weather integration costly and time‑consuming. Inadequate analytics lead to sub‑optimal generation scheduling, higher operational expenses, and reduced ability to meet climate‑targeted efficiency goals.
Solution
Terranow offers a generative‑AI powered analytics platform that automates the creation of diagnostic, descriptive, and predictive models for the energy sector. Users upload raw operational, customer, and geospatial data, and the system generates custom forecasting and anomaly‑detection code on demand, eliminating the need for extensive data‑science expertise. Integrated weather and geospatial modules provide high‑resolution inputs for more accurate demand and asset performance predictions. Real‑time anomaly detection and predictive maintenance alerts help operators maintain peak efficiency and reduce downtime. All analytics are delivered through a unified web interface and API, enabling rapid deployment across generation, distribution, and retail energy workflows.
Target Audience
Primary customers are electric utilities, independent power producers, and energy retailers that need automated, high‑accuracy analytics for demand planning, asset management, and weather‑driven operations.
Features
- Generative AI engine that auto‑writes and executes forecasting, clustering, and anomaly‑detection scripts from user‑provided datasets
- End‑to‑end demand forecasting pipeline with built‑in feature engineering for customer usage patterns
- High‑resolution weather data ingestion and geospatial visualization tools for location‑aware analytics
- Real‑time anomaly detection using ensemble models that flag outliers in grid operations and asset telemetry
- Predictive maintenance module that predicts equipment degradation and recommends optimal service windows
- Scalable cloud architecture with RESTful API access for integration into existing energy management systems