Sisyphean Gridworks brings AI, machine learning, and advanced data science to the power industry—giving utilities, developers, and regulators the tools to make sharper decisions about reliability, generation economics, and grid planning.
In Greek mythology, Sisyphus was condemned by the gods to roll a boulder up a mountain for eternity. Each time he neared the summit, the stone would slip from his grasp and tumble back to the valley floor. He would descend, set his shoulder against the rock, and begin again. The Greeks told this story as the ultimate punishment—endless, pointless labor with no hope of completion.
In 1942, Albert Camus looked at the same story and saw something different. In his essay The Myth of Sisyphus, Camus argued that Sisyphus is not a tragic figure—he is a heroic one. The meaning is not in reaching the summit. It is in the discipline of the climb. The conscious choice to push well, to refine technique, to find purpose in the work itself rather than in some imagined finish line.
"The struggle itself toward the heights is enough to fill a man's heart. One must imagine Sisyphus happy." — Albert Camus, The Myth of Sisyphus
In the power sector, the word fits. The grid will never be "done." Load patterns shift. Distributed resources multiply. Regulations evolve. Infrastructure ages even as it's upgraded. Every modernization cycle solves today's problems and reveals tomorrow's—the boulder always rolls back. Anyone who has worked in utility operations knows this feeling.
And the pace is accelerating. Utilities are navigating the most complex transformation in the industry's history—electrification, DER integration, grid hardening against extreme weather, data center load growth, aging workforce, regulatory pressure to do more with less. The technology exists to meet these challenges. AI can predict equipment failures before they happen. Machine learning can optimize dispatch and DER coordination in ways no human planner can match. Advanced analytics can turn five years of outage data into actionable reliability strategies.
But too many utilities are struggling. Vendor platforms underdeliver. Pilot programs stall. Engineers are drowning in data they can't use and dashboards they don't trust. The outcomes are less than satisfactory—and ratepayers, regulators, and the engineers themselves know it.
We named the company after Camus's Sisyphus because it captures how we think about this work. There is no final state. There is no platform that solves everything. But there is, every day, the opportunity to push smarter than yesterday. The AI, the ML, the advanced data science—these are not the point. They are the means. The point is making utilities measurably better at the job they exist to do: keeping the lights on, keeping costs fair, and keeping the system ready for what's coming next.
The climb is the craft. And with the right tools, every push counts.
We bring the latest in AI, ML, and advanced analytics to utility teams—expanding what engineers can see, model, and act on.
Custom optimization and analysis tools that replace spreadsheet guesswork with rigorous, data-driven decision making. Generation economics, DER planning, risk quantification.
See an Example →Traditional and cutting-edge practices adapted for utility operations. Error budgets derived from SAIDI targets, burn rate tracking, and economic frameworks that turn reliability into a measurable, improvable system.
Try the Tools →Outage prediction, load forecasting, hosting capacity analysis, predictive maintenance—trained on your data, understood by your team, built to improve decisions in the field.
Explore Resources →The grid has the technology necessary. We need access to the data and tools that make us more capable.
We give your team tools that extend what they can analyze, model, and decide—not dashboards that sit next to the other dashboards nobody checks.
Phased, iterative improvement beats risky transformation programs. Pilot, learn, refine, scale. Every cycle leaves the system measurably better.
Deterministic models give false confidence. We use stochastic analysis and scenario planning to stress-test decisions across the range of futures that actually matter.
Datasets, notebooks, and calculators we use to prove out ideas—freely available for power systems engineers.
A fully synthetic distribution utility—238K customers, 104 feeders across 23 substations, 7 DER datasets, and 5 years of operational history. The foundation for everything we build.
Explore SP&L →23 guided notebooks covering outage prediction, load forecasting, hosting capacity, OpenDSS power flow, load forecasting, hosting capacity, and predictive maintenance. From walkthroughs to production patterns.
Open Playground →Circuit Error Budget Framework, interactive calculators, and a 7-part article series on applying SRE to power grid operations. Per-circuit reliability tracking with automated policy actions.
Open Tools →Explore the open tools, read the SRE series, or book a call to discuss your challenges.