Built on two decades of energy market depth.
Energy trading and grid operations are where we started, and where our expertise runs deepest. Every service we offer is shaped by the realities of ISO markets, real-time risk, and regulatory pressure.
Four sub-sectors, one market fluency.
Trading & Risk
Position, P&L, and exposure analytics across power, gas, and environmental products.
Explore Trading & Risk → 02Supply & Marketing
Customer, pricing, and margin analytics for retail and wholesale supply businesses.
Explore Supply & Marketing → 03Grid & DER
Forecasting and optimization for distributed energy resources and grid load.
Explore Grid & DER → 04Regulatory & Compliance
Reporting pipelines built to withstand audit and shifting regulatory requirements.
Explore Regulatory & Compliance →The analytics behind the outcomes.
Each engagement pairs the work we did with an interactive view of the result — explore the dashboards, built on synthetic data.
A public-power utility took analytics off its billing system and cut a 3-hour report to 40 seconds.
A large municipal utility's billing system couldn't support analytics, and ad-hoc extracts were degrading it in production. We moved reporting onto an elastic cloud analytics layer with one governed source of truth.
A power utility cut its load-forecast error from 18–25% down to 2.75%.
An 18–25% swing between load forecast and actuals meant costly real-time market exposure. The strategic target was under 4%. We delivered forecasting that brought average variance to 2.75%.
A battery operator can see the nodal spread before it's obvious — and dispatch against it.
We built NodalAlpha — a battery-storage arbitrage engine that forecasts nodal basis spreads, ranks every ERCOT and CAISO node by forward opportunity, and schedules charge and discharge against a sized unit. Backtested on a full year of real ERCOT settlement prices, energy arbitrage only.
A PJM power producer's desk can ask "what's our net position next month?" — and get a grounded answer, not a report ticket.
An independent power producer's traders, analysts, and compliance team each live in a different system. A conversational layer, built on MCP, lets them ask their systems questions in plain language and get answers grounded in live data — not a static export.
A power trading business got a historic, attributable view of position and P&L — one version of the truth.
Market and credit risk, hedge effectiveness, and P&L attribution were scattered and hard to trust. We built an enterprise risk data warehouse — with VaR by Monte Carlo and full position and P&L attribution — as one consistent source across the organization.
A trading desk stopped reconciling every dashboard by hand and started trusting one governed source.
The desk had dashboards, but nobody trusted them — every number got re-checked against a private spreadsheet before anyone acted on it. We rebuilt the reporting on governed definitions and visible lineage that reconcile to the books, so the dashboard became the number people work from, not a second opinion.
A commodity trading firm made compliance proactive — catching trading aberrations before they became violations.
Trading commodities across global markets meant living under many overlapping regulations. We built transaction surveillance that flags untypical trading activity for investigation before it becomes an enforcement problem.
A renewables portfolio replaced fragile spreadsheet tax-equity modeling with a rules-based engine analysts could trust.
Analysts were spending their time manipulating spreadsheets to model complex wind tax-equity deals instead of analyzing them. We built a rules-based engine that captures the deal terms and does the modeling — so the team could get back to decisions.
A retail energy provider learned which customer and product mixes were actually profitable.
In deregulated markets, a complex mix of products and contracts made it hard to tell which customers and deals paid off over time. We built the analytics to evaluate profitability by product, customer, and deal — and the churn behind it.
A wholesale energy business got a phased, fundable roadmap to one trusted source of trading information.
Front, mid, and back office were making decisions off disconnected sources. Leadership needed a roadmap to a single, quality-controlled view of trading information — not another point tool. We assessed the current state and sequenced the path, de-risked with a proof of concept.
A power marketer automated the gross-margin and variance analysis it used to assemble by hand.
Forecast-variance and realized/unrealized P&L analysis was manual and slow. We built the data foundation and reporting to automate gross-margin analysis, cash-flow forecasting, and budget-to-actual variance analysis.
An oil & gas major built one risk repository for market, credit, and Dodd-Frank compliance.
Market risk, credit risk, and Dodd-Frank compliance lived in different places and rarely agreed. We led the design and delivery of a single risk data warehouse — one repository, one set of numbers the desk and the regulators both rely on.
A multi-business-unit retailer got one BI master plan instead of four disconnected ones.
Four business units were each adopting BI their own way. We built an enterprise BI master plan — one assessment, one architecture, one adoption path across wholesale/risk, C&I, mass markets, and home services.
Know the market. Know your data.
Tell us where the numbers aren't keeping up. We'll tell you what it would take to fix it.
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