How Float Runs an AI Energy Company on a 3-Person Team with Tiger Data
Danish startup achieves 99.3% compression on 1Hz smart meter data, powering real-time appliance-level energy analytics for hundreds of homes.
Float is a Danish AI and energy startup that collects 1Hz smart meter data from hundreds of homes and disaggregates it into per-appliance consumption using a proprietary ML model. The entire system depends on one architectural bet: that compression on their time-series database would be high enough to make the storage economics work at scale. Co-founders Jens Brandt Nellegaard (CEO) and Victor Grabow (CTO) share how they evaluated every major time-series database, why 90% compression was the hard floor for viability, and what happened when they hit 99.3% on Tiger Data.
About Float
Most people have no idea what their individual appliances cost to run. In Denmark, most energy providers send a monthly PDF bill, and that is the entire customer experience. The market has seen no meaningful innovation in 10...
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