Fewton
Fewton is an AI-powered energy intelligence platform that helps hotels and restaurants reduce utility costs and carbon footprints without disrupting daily operations. The platform analyzes smart meter, weather, and occupancy data to identify hidden energy waste and deliver actionable recommendations, with customers typically seeing first savings within 2-4 weeks.
- Artificial Intelligence
- Data & Analytics
- Clean Technology
- Energy
- Hospitality & Travel Technology
- Software Only
Funding
Founders
Product
Problem
Hotels and restaurants often waste significant energy through equipment left running during off-hours, HVAC systems operating at constant loads regardless of occupancy, and hot water systems running hotter than necessary. These inefficiencies inflate utility bills and carbon footprints, yet traditional building management systems and manual audits frequently miss them, leaving operators without clear visibility into where their energy spend is going.
Solution
Fewton provides an AI-powered energy intelligence platform that analyzes utility data alongside weather and occupancy patterns to detect hidden waste and recommend cost-saving actions. The platform identifies specific issues such as night-time loads, off-schedule HVAC operation, and equipment drift, then quantifies the potential savings for each fix. Customers receive actionable recommendations that require no new equipment or disruption to daily operations, with typical implementations revealing 10-32% energy cost reduction potential. The service operates on a pay-only-when-you-save model, with fees derived from verified savings, and delivers first visible results within 2-4 weeks of integration.
Target Audience
Primary customers are hotels, restaurants, and cafés seeking to reduce operational energy costs and improve sustainability performance, including both independent establishments and multi-site hospitality operators.
Features
- AI-driven analysis of smart meter data combined with weather and occupancy information to detect energy waste patterns
- Equipment-level energy profiling that identifies specific culprits such as overheating hot water systems or HVAC running at constant load
- Benchmarking against operational baselines to quantify savings potential and track performance over time
- No-capex recommendations focused on operational changes that require no new equipment purchases
- Real-time cost spike alerts that explain exactly why energy usage increased and what actions to take
- Carbon footprint reduction tracking to support sustainability certifications like B Corp readiness