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VP of Product @ Utilidata: Launched hardware/software solutions for 3 enterprises, collectively serving 1M+ end customers.
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Leading AI Expert @ NREL: 200+ publications, 4 patents, 6,000+ citations in renewable energy AI.
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AI for Good: Make AI work for people—and with people—to achieve carbon neutrality, effortlessly.
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Fun Fact: Runs a 2-EV household (unconfirmed drag races may occur!)
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Lightbulb Moment: When AI started guessing shopping habits, I thought, “Energy’s next!”—and pivoted to predict energy use with AI.
Y.C. Zhang, Ph.D.
Co-Founder, CEO
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Chief Behavioral Scientist @ Lilly & Dell: Remove decision biases, impacting 8M+ patients and customers.
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B-school Professor: Published 20+ pioneering research on prosocial nudges in top-tier journals.
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Behavioral Science for Good: Saving the planet shouldn’t feel like homework, or be a lonely journey.
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Deadlift Bagger: Tends to skip double bags and haul groceries like a deadlift champ!
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Lightbulb Moment: “If I can nudge folks to take pills, I can nudge them to be sustainable!”
Bo Li, Ph.D.
Co-Founder, CCO
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Builds industrial SaaS platforms that crunch petabytes of energy data.
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Tech lead at top IT corps: Designed systems that save $10M annually and drive $20M in revenue growth yearly.
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Designs AI-powered predictive analytics to solve grid-edge challenges.
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Gas Saver: Says he works from home to save gas, but we think it’s for gym sessions between Zoom calls (with his cat cheering) - either way, the planet wins!
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Lightbulb Moment: “People often say we can’t predict energy use because there’s not enough data—but as an AI expert, I believe a lot can be inferred.”
Daniel Zhou, Ph.D.
Co-Founder, CTO
"What’s worth doing for the world with the expertise we all have?"
We asked ourselves. Our answer? Combining our niche expertise to tackle a neglected-but-critical mission: returning control of energy to people, where every watt counts, not just for their bills, but for the planet.
Our Founders
Our Founders
"What’s worth doing for the world with the expertise we all have?"
We asked ourselves. Our answer? Combining our niche expertise to tackle a neglected-but-critical mission: returning control of energy to people, where every watt counts, not just for their bills, but for the planet.
Our Founders
"What’s worth doing for the world with the expertise we all have?"
We asked ourselves. Our answer? Combining our niche expertise to tackle a neglected-but-critical mission: returning control of energy to people, where every watt counts, not just for their bills, but for the planet.
Co-Founder, CEO
Y.C.Zhang, Ph.D.
-
VP of Product @ Utilidata: Launched hardware/software solutions for 3 enterprises, reaching 5M+ end users.
-
Leading AI Expert @ NREL: 200+ publications, 4 patents, 6,000+ citations in renewable energy AI.
-
AI for Good: Make AI work for people—and with people—to achieve carbon neutrality, effortlessly.
-
Fun Fact: Runs a 2-EV household (unconfirmed drag races may occur!)
-
Lightbulb Moment: When AI started guessing shopping habits, I thought, “Energy’s next!”—and pivoted to predict energy use with AI.
Co-Founder, CTO
Bo Li, Ph.D.
-
Chief Behavioral Scientist @ Lilly & Dell: Remove decision biases, impacting 8M+ patients and customers.
-
B-school Professor: Published 20+ pioneering research on prosocial nudges in top-tier journals.
-
Behavioral Science for Good: Saving the planet shouldn’t feel like homework, or be a lonely journey.
-
Deadlift Bagger: Tends to skip double bags and haul groceries like a deadlift champ!
-
Lightbulb Moment: “If I can nudge folks to take pills, I can nudge them to be sustainable!”
Co-Founder, CTO
Daniel Zhou, Ph.D.
-
Builds industrial SaaS platforms that crunch petabytes of energy data.
-
Tech lead at top IT corps: Designed systems that save $10M annually and drive $20M in revenue growth yearly.
-
Designs AI-powered predictive analytics to solve grid-edge challenges.
-
Gas Saver: Says he works from home to save gas, but we think it’s for gym sessions between Zoom calls (with his cat cheering)- either way, the planet wins!
-
Lightbulb Moment: “Enough about software—why can’t we mix it with hardware data to predict energy like the weather?”