01
Simulate every future
Define scenarios for prices, load, and policy, then optimize across all of them at once. Investment decisions must hold up in every future—not just a single forecast.
Energy planning software built for uncertainty
Resilient helps utilities, CCAs, and large energy buyers optimize their portfolios across many futures, not a single forecast.
Product
Simulate futures to optimize your portfolio
Resilient builds powerful, flexible software for modeling power systems so our partners can make informed investment and infrastructure decisions today.
02
One cohesive model
Load shapes, price curves, and contract terms live in a single shared model. Update an input once and every dependent calculation refreshes—no drifting workbooks.
03
Visualize asset value
See each asset’s costs, revenues, and capacity across the full planning horizon. Results show which constraints drove every build decision—and what each one was worth.
How it works
From raw data to a defensible plan
Four steps take a planning team from scattered inputs to procurement decisions that hold up in every future.
Build one data library
Load shapes, price curves, asset catalogs, and settlement points live in a single shared library. Every profile is versioned and inspectable down to the hour, so the whole team plans from the same numbers.
Define the futures that matter
Assemble a catalog of futures—each one a coherent set of assumptions for prices, load growth, and policy. Override any assumption per future and see its supply-demand balance before you commit it to a run.
Optimize across every future
Set reliability, clean-energy, and budget constraints, then optimize the portfolio against all futures at once—not one forecast at a time. Near-term commitments are chosen to perform under every trajectory.
Compare cases, defend the plan
Put cases side by side and see capacity, cost, and risk bands across the horizon. Every build decision traces back to the constraint that drove it—so the plan survives the boardroom, not just the model.
Team
Built by energy systems experts
Gabriel Mantegna
Co-founder and CEO
Gabriel Mantegna is an energy systems engineering expert who brings extensive experience helping decision makers in the energy space navigate an era of unprecedented uncertainty. He is a PhD researcher on methods for incorporating uncertainty into electric grid planning and has over a decade of experience working in the energy field.
Gabriel is currently a Ph.D. Candidate at Princeton University in Prof. Jesse Jenkins’s ZERO Lab. He also holds a B.S. in Environmental Engineering from Johns Hopkins University.
Roderick Go
Co-founder and CTO
Roderick Go brings a decade of experience in energy systems research, analytics, and consulting. He has led teams in building energy systems modeling frameworks & data products to support renewables & energy storage integration studies, electricity market analysis, integrated system planning, and resource adequacy assessments.
Roderick holds a B.S. in Environmental Engineering and an M.S.E. in Environmental Management & Economics from Johns Hopkins University.
Kamran Tehranchi
Co-founder and CPO
Kamran Tehranchi is a thought leader and PhD researcher focused on developing state-of-the-art energy systems models to address pressing deficiencies in the world’s electric grids. He has previously worked at the California Independent System Operator (CAISO) and at a Community Choice Aggregator (CCA). He is also lead maintainer of the PyPSA-USA project.
Kamran is currently a Ph.D. Candidate at Stanford University in Prof. Ines Azevedo’s INES Research Group. He holds an M.S. in Civil & Environmental Engineering from Stanford University and a B.S. in Mechanical Engineering from Northwestern University.
Jesse Jenkins
Chief Scientific Advisor
Jesse D. Jenkins is an Associate Professor and macro-scale energy systems engineer at Princeton University with a joint appointment in the Department of Mechanical and Aerospace Engineering and the Andlinger Center for Energy and Environment.
He leads the Princeton ZERO Lab (Zero-carbon Energy systems Research and Optimization Laboratory), which focuses on improving and applying optimization-based energy systems models to evaluate and optimize low-carbon energy technologies, guide investment and research in innovative energy technologies, and generate insights to improve energy and climate policy and planning decisions.
Contact
Let’s plan your portfolio.
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