Physics before ML. ML before Intelligence. Intelligence before Audience. A raw 30-second CAN signal enters. A stakeholder decision emerges. Every face is auditable.
Connects every stakeholder silo. BMS telemetry, IoT, GPS, service records, weather — unified into one field intelligence layer.
Five transformation faces. Data → Physics → ML → Intelligence → Audience. Physics before ML, always. A raw CAN signal enters. A decision emerges.
Federated learning. Every battery that joins makes every other smarter. No single OEM or NBFC can build this — the intelligence requires every node.
Five agentic processes. One action per stakeholder, in the right language, at the right moment. Not a chatbot. It delivers.
Beehive: every node contributes signal. Every node receives intelligence they cannot generate alone.
Your lab tested both designs to spec. The field disagrees with one. You cannot see this without operator data — charging patterns, route intensity, thermal exposure. The data lives in a different silo.
They know which drivers are hard on batteries. They do not have your cell chemistry or commissioning baselines. Attribution requires both sides.
They know when batteries failed relative to loan tenure. That is the ground truth that calibrates survival curves. enerlytik connects all three.