AI-powered energy demand forecasting for independent traders
Forewatt gives independent energy traders access to the same calibre of demand forecasting that was previously only available to large utilities and trading houses. Our machine learning models predict GB electricity demand with sub-2% accuracy, helping traders make better-informed decisions in volatile power markets.
Sub-2% MAPE
LightGBM models trained on decades of historical demand, real-time weather data from Google DeepMind's WeatherNext, and grid state from NESO and Elexon.
API-first delivery
RESTful API that slots into existing workflows — Excel, Python notebooks, Trayport Joule, or ETRM systems. Live in 48 hours.
Transparent forecasts
Every prediction includes probabilistic ranges, confidence scores, and SHAP-driven explanations of what's driving the forecast.
Why it matters
Demand forecasting is the single biggest input to profitable energy trading. Independent traders have been locked out of high-quality forecasting tools — until now. We ingest data from NESO and Elexon, apply LightGBM models trained on historical demand patterns, weather data and calendar effects, and deliver forecasts via a simple API that slots into existing trading workflows.
Team
Alex Buckley
CEO & Co-Founder
Founded Ardent Energy Trading, an independent energy trading firm. Senior Analyst at RWE Trading spanning nearly a decade. Traded power markets across the UK and Ireland for 25+ years, with a career spanning National Power, Innogy, GFP and Ardent.
Ben Lavender
CPTO & Co-Founder
Created BBC iPlayer, the world's first catch-up TV service. Built LOVEFiLM's streaming platform (acquired by Amazon for £200M, now Prime Video). Scaled DAZN from startup to $1B revenue. Grew Trustpilot 19% YoY with AI-driven product innovation.
LinkedInTechnology
Forewatt is built on Google Cloud Platform — BigQuery for data warehousing, Vertex AI for model training, and Cloud Run for serverless API serving.