People and capability behind Gridwise
Gridwise brings together industrial systems thinking, energy systems expertise, applied AI, software architecture and advanced research to build operational intelligence for energy-intensive operations.
Anshuman Banerjee
Founder
Founder of Gridwise, focused on applying AI, data and operational decision-making to energy-intensive industrial and infrastructure operations.
Previously led AI and Data initiatives at Spark New Zealand, building enterprise platforms for analytics, machine learning and decision systems. Earlier training in industrial engineering and business strategy shapes Gridwise's operations-first approach.
Michael Witbrock
Scientific Advisor
Scientific Advisor to Gridwise and Director of the Strong AI Lab and the Natural, Artificial and Organisational Intelligence Institute at the University of Auckland.
His work spans advanced AI systems, learning, reasoning and large-scale intelligent systems, with senior research experience across major international research organisations.
Built across energy systems, AI and software engineering
Gridwise is also being shaped by capability across energy markets, power systems, production machine learning and software systems architecture. These capabilities help ensure the platform is grounded in real electricity-system complexity and built with the engineering discipline required for operational decision-making.
Energy systems, simulations and market modelling
Capability across electricity market analysis, grid modelling, demand forecasting, renewable integration, DERs, dispatch simulation, scenario analysis and power-system planning.
This helps Gridwise understand the wider electricity-system context behind customer-side flexibility, tariffs, network constraints and demand-shaping opportunities.
Applied AI and production machine learning
Capability across applied machine learning, MLOps, production LLM systems, RAG-based applications, structured validation, observability, data pipelines and cloud deployment.
This helps Gridwise move beyond static analytics toward reliable, recommendation-led tools that can support complex operational workflows.
Software architecture and systems engineering
Capability across clean software architecture, high-performance data systems, testing, telemetry, maintainability, analytical databases, distributed systems and long-life production software.
This helps Gridwise build systems that are not only intelligent, but also understandable, testable, reliable and maintainable.
Gridwise is being built with a simple principle: operational intelligence only matters if it can be trusted by the people who need to act on it.