PhysaFlow's BioCore AI analyzes energy, thermal, and workload signals to deliver actionable optimization recommendations, in real time.
Up to 0%
Energy Cost Reduction
−0.00
PUE Delta (24h)
0 kg
CO₂e Avoided / Day

PUE Delta
−0.12
CO₂e / Day
340 kg
From connection to savings in three steps.
Integrate with your existing BMS, DCIM, and sensor stack via our lightweight agent. No infrastructure changes required.
The AI engine ingests historical and real-time signals to build a dynamic model of your data center.
Get prioritized optimization recommendations with projected savings. Review, approve, and track impact over time.
Every feature designed around what data center operators actually need.
Real-time optimization recommendations generated by a purpose-built model for data center workloads: cooling, power, and thermal signals unified.
Track cumulative energy savings, cost impact, and CO₂e reductions over time with full per-run traceability and exportable M&V reports.
All recommendations operate in shadow mode by default. No control actions are taken without explicit authorization, keeping operations safe.
Join enterprise teams using PhysaFlow to reduce energy costs, lower their carbon footprint, and gain full operational visibility from day one.