Build smarter energy projects with real 15-minute building data
We deliver utility-grade interval data and insights to help you model microgrids, size batteries, optimize generators, and validate retrofits — without ever setting foot on site.
Without access to interval data, your team is
Stuck navigating messy bills
Let’s face it, working with utility bills is not easy. And most of the time, they’re missing or unreadable PDFs, rendering your analysis incomplete.
Missing out on cross-selling
Energy deals today are a combo platter of opportunity. On-site battery? Pair it with peak shaving and frequency regulation. But what about equipment upgrades or a BMS?
Relying on their gut
We’ve all been there. Back-of-the-envelope estimates and rule-of-thumb assumptions used to work, but not in today’s data driven world. Those who bring numbers to the table close more deals.
Here’s how it works
Step 1:
Submit a few pieces of information about your building.
Step 2:
We analyze it and pair it with comparable utility-grade interval data.
Step 3:
You receive a link to the report, like the sample above. It’s that easy.
Interested? Tell us about your building.
Instantly size a microgrid or on-site generation
Oversizing a battery or back-up generator racks up the cost for a client. Here’s the smart strategy: Don’t overspend to cover 1% of the extreme usage hours. Pull the data and run your time-series analysis like a pro.
Dive into the peak shaving potential
Demand charges are only going up, and peak shaving equals immediate bill savings. But when do those peaks occur? Are you peaking in the summer or winter? Let’s dive in and find out.
Analyze equipment usage for reduction
Lights are always the go-to for equipment retrofit. But what if lighting is only the beginning? A rooftop unit running at 3 am on a weekend? That’s money out the window every month.
Don’t wait.
Dive into the data today.
America’s grid is one bad storm away from catastrophe.
220,000,000
people were at an elevated risk of running out of power this past summer due to rising demand exceeding supply.
An electric opportunity
Curious about Grid Discovery’s unique and powerful cluster modeling? Sign up here for a first glance at our beta release, coming soon!
The Team
Matthew Cristaldi
Cofounder & Executive Officer
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A 101st Airborne veteran and 2x founder with more than 10 years and 50 projects in the energy industry. More importantly, Matt has an insatiable drive to work with amazing people building technology that solves our greatest problems.
Philip Odonkor, PhD
Cofounder & Science Officer
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Philip is an Assistant Professor for the School of Systems and Enterprises at Stevens Institute of Technology in Hoboken, NJ. Philip has more than 10 years of research experience in smart cities and energy optimization and holds a number of publications for data-driven design of distributed energy systems.
Evan Bedser
Lead Engineer
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Evan has more than eight years of full-stack development with AWS, Wonder, and iThreat, focusing on creating more efficient development operations. While a Computer Science major at Stevens Institute of Technology, Evan cofounded Ribbit with Matt, a hyper-local restaurant app that saw immediate growth in four countries.
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