Pushing Boundaries in Utility Consulting
We develop purpose-driven tools that integrate AI, machine learning, advanced analytics, and industry expertise to address the utility sector's most complex challenges. Our solutions transform big data into actionable decisions.
Our rate comparison platform ingests AMI data directly, enabling Community Choice Aggregators to conduct advanced competitive rate benchmarking analyses for any scenario in minutes instead of weeks. Built for the complex realities of California's evolving energy landscape.
As electric vehicle adoption accelerates, utilities must understand current and future impacts of EV charging on their systems. GridLens uses machine learning and AI to analyze AMI and billing data, identifying EV charging patterns across a utility's service territory without requiring any customer self-reporting or telematics data.
Identify customers charging EVs at home using advanced load-shape analysis and machine-learning classification models.
Visualize EV charging locations across your service territory, pinpoint infrastructure hotspots, and identify areas of emerging demand.
Monitor EV adoption trends, forecast future charging demand, and plan infrastructure investments with confidence using historical and predictive analytics.
Complex utility financial models live in Excel, but managing scenarios, assumptions, and documentation across massive workbooks has always been painful. Our custom Excel add-in transforms how analysts interact with financial models, bringing modern scenario management, optional AI connectivity, and collaboration capabilities directly into the spreadsheet environment teams already know and use. With AI integration, analysts can instantly review assumptions, generate intelligent reports that describe outcomes and scenarios, and surface insights that would otherwise take hours to uncover manually.
Save and restore scenario configurations with one click, and compare scenarios side by side to understand differences and their downstream impacts.
Identify which assumptions drive the most variance in results, focusing analysis where it is most impactful.
Create tailored dashboards that highlight key metrics and outputs for stakeholders.
Store page-level and cell-level documentation within the model to preserve institutional knowledge.
Quickly access key assumptions from anywhere in the workbook, reducing time spent searching through tabs.
Connect to AI to review assumptions, generate automated intelligent reports, and describe outcomes and scenarios with clarity and depth.
Works Inside Excel
No new software to learn. The add-in integrates seamlessly into existing financial model workflows.
Stormwater utilities require accurate impervious surface measurements to establish fair, defensible billing. Traditional methods are time-consuming and prone to error. Our geospatial tool uses machine learning to analyze aerial imagery and automatically determine the impervious surface area of every parcel in a service territory.
By classifying rooftops, driveways, parking lots, sidewalks, and other hard surfaces from high-resolution aerial photography, the tool provides stormwater utilities an objective, repeatable, and cost-effective way to measure impervious area at scale. This supports equitable billing that reflects each property's actual contribution to stormwater runoff.
Measure impervious area for every parcel in a service territory with high-resolution precision.
Automatically classify rooftops, driveways, parking lots, and other hard surfaces from aerial imagery.
Process entire service areas efficiently, from small municipalities to large regional utilities.
Produce objective, repeatable measurements that support equitable stormwater billing.
At NewGen, innovation is not a department — it is how we work. We create custom, purpose-built tools that address real challenges for our clients by combining deep utility expertise with modern technology.
Have a challenge that needs a creative solution? Let's talk about what we can build for you.