Fleet operators, charging companies, and energy providers use ergLocale to manage operations, control chargers, and optimize energy costs across their networks.
Built computational models for energy systems at Carnegie Mellon's College of Engineering. Designed solar integration tools under a joint US-India research program.
Founded to build optimization software for energy infrastructure. Tomsawyer's TS-X engine has been used to optimize the design of over 50 GW of solar PV, battery storage, and hybrid renewables globally.
A decade of building optimization systems for energy infrastructure. Now applied to EV fleets and charging.

Founder and CEO
Bishal Madhab founded and leads ergLocale. He drives product, engineering, and commercial strategy across the company's fleet intelligence and energy optimization products.
Trained in energy systems at Carnegie Mellon University's College of Engineering, Bishal has spent over a decade building computational intelligence for energy infrastructure. He co-founded an energy analytics venture that deployed ML-based forecasting across 2,500+ MW of wind and solar capacity in India, and worked within DNV GL's energy storage practice across Asia Pacific.
In 2019, he founded Tomsawyer Technologies and built optimization platforms used across 50+ GW of solar, storage, and hybrid energy projects worldwide.
He launched ergLocale to bring a decade of energy optimization engineering to EV fleets and charging infrastructure.
Built and shipped by a team spanning engineering, data, and field operations. From integration to measurable outcomes in weeks, not months.







Dr. Terence Goh is a technology leader in artificial intelligence, batteries, and EV infrastructure across Asia Pacific. He played a key role in building ChargeEV into one of Southeast Asia's leading charge point operators as SVP (Technology) at Yinson.
Previously, he was Regional Head for Energy Storage at DNV GL, leading projects in microgrids, battery systems, and grid-scale solar across APAC. Earlier, at DSTA and ST Engineering, he worked on early military robotics and AI programs, securing over $130M in funding.
He holds a PhD in AI Robotics from Imperial College London and serves in adjunct roles across institutions in Singapore, including National University of Singapore, Singapore Institute of Technology, and Nanyang Polytechnic, where he teaches AI, embedded systems, and power engineering.
Our systems ingest live fleet data, build models unique to your operation, and act on them autonomously.
Fleet telematics, OCPP charger management, load balancing, and dispatch-aware scheduling in one command center.
Energy optimization API for tariff arbitrage, demand charge management, solar-aware scheduling, and infrastructure design.
Side-by-side ICE vs EV economics. Right-size charging infrastructure for your actual operations.