May 26, 2022 · 49m · catalyst

Tapping the goldmine of consumer energy data

Kiran Bhatraju · 26m spoken Shayle Kann · 16m spoken
0:00 / 0:00

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In this episode of Catalyst, host Shail Khan and Arcadia CEO Kiran Bhatraju discuss how standardizing fragmented utility and consumer energy data unlocks distributed energy resources, accelerates clean energy sales, and modernizes grid decarbonization.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Shayle holds 35.7% of the talking time here. How this is scored →

Shayle as informed peer 6.3 Guest teaching 2.9 Guest disagreement 0.3 Shayle pushing back 1.0
05100:0015:0030:0045:005:17–10:16 · Shayle as informed peer 5/10 Defining the Layers of Consumer Energy Data Kann establishes a four-part roadmap for the discussion on consumer energy data. Bhatraju educates the listener and host on how online utility account telemetry and on-time bill payment history can serve as better underwriting tools than traditional FICO scores.10:17–13:08 · Shayle as informed peer 6/10 Historical Challenges of Third-Party Utility Access Kann brings up the history of Green Button initiatives and asks why third-party utility access struggled. Bhatraju explains how EDI and Green Button suffered from poor UX and execution, contrasting them with tapping directly into online utility portals.13:09–18:31 · Shayle as informed peer 6/10 Commercial Use Cases in Community Solar and EV Optimization Kann asks about scalable commercial use cases, adding context on why early community solar models unnecessarily copied rooftop solar contracting. Bhatraju explains how granular data allows real-time community solar allocation and EV tariff optimization.18:32–22:05 · Shayle as informed peer 7/10 Device Interoperability and Whole-Home Energy Management Kann sets up a detailed, technically grounded hypothetical involving bidirectional EV charging, smart thermostats, and California TOU rates to question whether disparate devices require a centralized whole-home manager. Bhatraju agrees with the premise and describes Arcadia's role as foundational infrastructure.22:08–29:34 · Shayle as informed peer 8/10 Sponsor Messages: Bloom Energy and ENGIE After the mid-roll break, Kann pushes beyond basic carbon accounting by articulating the need for forward-looking, temporally granular projected carbon intensity to drive real carbon management decisions. Bhatraju fully validates Kann's technical vision.29:34–34:27 · Shayle as informed peer 6/10 The Need for High-Fidelity Data to Drive Clean Energy Sales Kann plays devil's advocate, asking if rough high-level estimates are sufficient rather than granular telemetry. Bhatraju counters by demonstrating how lack of precise data creates massive funnel drop-offs and unmet savings promises for rooftop solar and EV providers.34:28–36:57 · Shayle as informed peer 5/10 Missing Data Infrastructure and Utility Responsibilities Kann inquires about missing data layers that remain unavailable. Bhatraju highlights inconsistent global utility telemetry and argues utilities themselves should set authoritative hourly carbon intensity standards.36:57–40:46 · Shayle as informed peer 7/10 Scaling from Home Electrification to Commercial Decarbonization Kann challenges whether the 80/20 rule applies to home electrification, arguing that HVAC, EVs, and batteries account for almost all consumption while plug loads are negligible. Bhatraju agrees on residential loads but reframes the growth thesis around commercial decarbonization and induction stove transitions.40:47–45:10 · Shayle as informed peer 7/10 Developing a Defensible Moat as an Energy Data Platform Kann asks how data platforms build durable defensible moats. After Bhatraju compares Arcadia to Plaid and single API standardization across thousands of utilities, Kann illustrates the concept with his own experience building GTM Research's behind-the-meter solar database.5:17–10:16 · Guest teaching 4/10 Defining the Layers of Consumer Energy Data Kann establishes a four-part roadmap for the discussion on consumer energy data. Bhatraju educates the listener and host on how online utility account telemetry and on-time bill payment history can serve as better underwriting tools than traditional FICO scores.10:17–13:08 · Guest teaching 3/10 Historical Challenges of Third-Party Utility Access Kann brings up the history of Green Button initiatives and asks why third-party utility access struggled. Bhatraju explains how EDI and Green Button suffered from poor UX and execution, contrasting them with tapping directly into online utility portals.13:09–18:31 · Guest teaching 3/10 Commercial Use Cases in Community Solar and EV Optimization Kann asks about scalable commercial use cases, adding context on why early community solar models unnecessarily copied rooftop solar contracting. Bhatraju explains how granular data allows real-time community solar allocation and EV tariff optimization.18:32–22:05 · Guest teaching 2/10 Device Interoperability and Whole-Home Energy Management Kann sets up a detailed, technically grounded hypothetical involving bidirectional EV charging, smart thermostats, and California TOU rates to question whether disparate devices require a centralized whole-home manager. Bhatraju agrees with the premise and describes Arcadia's role as foundational infrastructure.22:08–29:34 · Guest teaching 1/10 Sponsor Messages: Bloom Energy and ENGIE After the mid-roll break, Kann pushes beyond basic carbon accounting by articulating the need for forward-looking, temporally granular projected carbon intensity to drive real carbon management decisions. Bhatraju fully validates Kann's technical vision.29:34–34:27 · Guest teaching 4/10 The Need for High-Fidelity Data to Drive Clean Energy Sales Kann plays devil's advocate, asking if rough high-level estimates are sufficient rather than granular telemetry. Bhatraju counters by demonstrating how lack of precise data creates massive funnel drop-offs and unmet savings promises for rooftop solar and EV providers.34:28–36:57 · Guest teaching 4/10 Missing Data Infrastructure and Utility Responsibilities Kann inquires about missing data layers that remain unavailable. Bhatraju highlights inconsistent global utility telemetry and argues utilities themselves should set authoritative hourly carbon intensity standards.36:57–40:46 · Guest teaching 3/10 Scaling from Home Electrification to Commercial Decarbonization Kann challenges whether the 80/20 rule applies to home electrification, arguing that HVAC, EVs, and batteries account for almost all consumption while plug loads are negligible. Bhatraju agrees on residential loads but reframes the growth thesis around commercial decarbonization and induction stove transitions.40:47–45:10 · Guest teaching 2/10 Developing a Defensible Moat as an Energy Data Platform Kann asks how data platforms build durable defensible moats. After Bhatraju compares Arcadia to Plaid and single API standardization across thousands of utilities, Kann illustrates the concept with his own experience building GTM Research's behind-the-meter solar database.5:17–10:16 · Guest disagreement 0/10 Defining the Layers of Consumer Energy Data Kann establishes a four-part roadmap for the discussion on consumer energy data. Bhatraju educates the listener and host on how online utility account telemetry and on-time bill payment history can serve as better underwriting tools than traditional FICO scores.10:17–13:08 · Guest disagreement 1/10 Historical Challenges of Third-Party Utility Access Kann brings up the history of Green Button initiatives and asks why third-party utility access struggled. Bhatraju explains how EDI and Green Button suffered from poor UX and execution, contrasting them with tapping directly into online utility portals.13:09–18:31 · Guest disagreement 0/10 Commercial Use Cases in Community Solar and EV Optimization Kann asks about scalable commercial use cases, adding context on why early community solar models unnecessarily copied rooftop solar contracting. Bhatraju explains how granular data allows real-time community solar allocation and EV tariff optimization.18:32–22:05 · Guest disagreement 0/10 Device Interoperability and Whole-Home Energy Management Kann sets up a detailed, technically grounded hypothetical involving bidirectional EV charging, smart thermostats, and California TOU rates to question whether disparate devices require a centralized whole-home manager. Bhatraju agrees with the premise and describes Arcadia's role as foundational infrastructure.22:08–29:34 · Guest disagreement 0/10 Sponsor Messages: Bloom Energy and ENGIE After the mid-roll break, Kann pushes beyond basic carbon accounting by articulating the need for forward-looking, temporally granular projected carbon intensity to drive real carbon management decisions. Bhatraju fully validates Kann's technical vision.29:34–34:27 · Guest disagreement 1/10 The Need for High-Fidelity Data to Drive Clean Energy Sales Kann plays devil's advocate, asking if rough high-level estimates are sufficient rather than granular telemetry. Bhatraju counters by demonstrating how lack of precise data creates massive funnel drop-offs and unmet savings promises for rooftop solar and EV providers.34:28–36:57 · Guest disagreement 0/10 Missing Data Infrastructure and Utility Responsibilities Kann inquires about missing data layers that remain unavailable. Bhatraju highlights inconsistent global utility telemetry and argues utilities themselves should set authoritative hourly carbon intensity standards.36:57–40:46 · Guest disagreement 1/10 Scaling from Home Electrification to Commercial Decarbonization Kann challenges whether the 80/20 rule applies to home electrification, arguing that HVAC, EVs, and batteries account for almost all consumption while plug loads are negligible. Bhatraju agrees on residential loads but reframes the growth thesis around commercial decarbonization and induction stove transitions.40:47–45:10 · Guest disagreement 0/10 Developing a Defensible Moat as an Energy Data Platform Kann asks how data platforms build durable defensible moats. After Bhatraju compares Arcadia to Plaid and single API standardization across thousands of utilities, Kann illustrates the concept with his own experience building GTM Research's behind-the-meter solar database.5:17–10:16 · Shayle pushing back 0/10 Defining the Layers of Consumer Energy Data Kann establishes a four-part roadmap for the discussion on consumer energy data. Bhatraju educates the listener and host on how online utility account telemetry and on-time bill payment history can serve as better underwriting tools than traditional FICO scores.10:17–13:08 · Shayle pushing back 1/10 Historical Challenges of Third-Party Utility Access Kann brings up the history of Green Button initiatives and asks why third-party utility access struggled. Bhatraju explains how EDI and Green Button suffered from poor UX and execution, contrasting them with tapping directly into online utility portals.13:09–18:31 · Shayle pushing back 0/10 Commercial Use Cases in Community Solar and EV Optimization Kann asks about scalable commercial use cases, adding context on why early community solar models unnecessarily copied rooftop solar contracting. Bhatraju explains how granular data allows real-time community solar allocation and EV tariff optimization.18:32–22:05 · Shayle pushing back 1/10 Device Interoperability and Whole-Home Energy Management Kann sets up a detailed, technically grounded hypothetical involving bidirectional EV charging, smart thermostats, and California TOU rates to question whether disparate devices require a centralized whole-home manager. Bhatraju agrees with the premise and describes Arcadia's role as foundational infrastructure.22:08–29:34 · Shayle pushing back 1/10 Sponsor Messages: Bloom Energy and ENGIE After the mid-roll break, Kann pushes beyond basic carbon accounting by articulating the need for forward-looking, temporally granular projected carbon intensity to drive real carbon management decisions. Bhatraju fully validates Kann's technical vision.29:34–34:27 · Shayle pushing back 3/10 The Need for High-Fidelity Data to Drive Clean Energy Sales Kann plays devil's advocate, asking if rough high-level estimates are sufficient rather than granular telemetry. Bhatraju counters by demonstrating how lack of precise data creates massive funnel drop-offs and unmet savings promises for rooftop solar and EV providers.34:28–36:57 · Shayle pushing back 0/10 Missing Data Infrastructure and Utility Responsibilities Kann inquires about missing data layers that remain unavailable. Bhatraju highlights inconsistent global utility telemetry and argues utilities themselves should set authoritative hourly carbon intensity standards.36:57–40:46 · Shayle pushing back 2/10 Scaling from Home Electrification to Commercial Decarbonization Kann challenges whether the 80/20 rule applies to home electrification, arguing that HVAC, EVs, and batteries account for almost all consumption while plug loads are negligible. Bhatraju agrees on residential loads but reframes the growth thesis around commercial decarbonization and induction stove transitions.40:47–45:10 · Shayle pushing back 1/10 Developing a Defensible Moat as an Energy Data Platform Kann asks how data platforms build durable defensible moats. After Bhatraju compares Arcadia to Plaid and single API standardization across thousands of utilities, Kann illustrates the concept with his own experience building GTM Research's behind-the-meter solar database.

speaking balance: gold is Shayle, purple is the guest (3 minute bins)

0:00 · Shayle 42.4% · guest 57.6%0:00 · Shayle 42.4% · guest 57.6%3:00 · Shayle 94.2% · guest 5.8%3:00 · Shayle 94.2% · guest 5.8%6:00 · Shayle 22.7% · guest 77.3%6:00 · Shayle 22.7% · guest 77.3%9:00 · Shayle 18.6% · guest 81.4%9:00 · Shayle 18.6% · guest 81.4%12:00 · Shayle 24.1% · guest 75.9%12:00 · Shayle 24.1% · guest 75.9%15:00 · Shayle 12.2% · guest 87.8%15:00 · Shayle 12.2% · guest 87.8%18:00 · Shayle 49.3% · guest 50.7%18:00 · Shayle 49.3% · guest 50.7%21:00 · Shayle 17.8% · guest 82.2%21:00 · Shayle 17.8% · guest 82.2%24:00 · Shayle 27.8% · guest 72.2%24:00 · Shayle 27.8% · guest 72.2%27:00 · Shayle 45.6% · guest 54.4%27:00 · Shayle 45.6% · guest 54.4%30:00 · Shayle 31.7% · guest 68.3%30:00 · Shayle 31.7% · guest 68.3%33:00 · Shayle 23.7% · guest 76.3%33:00 · Shayle 23.7% · guest 76.3%36:00 · Shayle 37% · guest 63%36:00 · Shayle 37% · guest 63%39:00 · Shayle 34.7% · guest 65.3%39:00 · Shayle 34.7% · guest 65.3%42:00 · Shayle 0% · guest 100%42:00 · Shayle 0% · guest 100%45:00 · Shayle 56.5% · guest 43.5%45:00 · Shayle 56.5% · guest 43.5%48:00 · Shayle 98.3% · guest 1.7%48:00 · Shayle 98.3% · guest 1.7%
Sharpest disagreement ▶ 30:27 Bhatraju defends need for granular data against rough estimates

Bhatraju directly pushes back on Kann's suggestion that rough averages might suffice, arguing that unfulfilled customer savings promises damage the clean tech sector's sales velocity.

Hardest push from Shayle ▶ 29:34 Kann challenges the necessity of high-granularity data

Kann explicitly challenges Bhatraju's core premise, questioning whether clean energy purchases actually require high-fidelity telemetry when buyers typically decide based on broad benchmark averages.

Biggest teaching moment ▶ 8:00 Utility bill payment history outperforming FICO credit scores

Bhatraju explains how proprietary utility payment history provides superior predictive value for clean energy underwriting compared to traditional regressive credit scoring models.

Shayle holds their own ▶ 26:42 Kann outlines the requirements for true carbon management

Kann demonstrates deep industry domain expertise by laying out why carbon management requires temporally aligned projected grid emissions rather than backward-looking average carbon accounting.

the scores for every segment, with the reasoning behind each
ChapterTopicShayle as informed peerGuest teachingGuest disagreementShayle pushing backWhy
Defining the Layers of Consumer Energy Data 5400 Kann establishes a four-part roadmap for the discussion on consumer energy data. Bhatraju educates the listener and host on how online utility account telemetry and on-time bill payment history can serve as better underwriting tools than traditional FICO scores.
Historical Challenges of Third-Party Utility Access 6311 Kann brings up the history of Green Button initiatives and asks why third-party utility access struggled. Bhatraju explains how EDI and Green Button suffered from poor UX and execution, contrasting them with tapping directly into online utility portals.
Commercial Use Cases in Community Solar and EV Optimization 6300 Kann asks about scalable commercial use cases, adding context on why early community solar models unnecessarily copied rooftop solar contracting. Bhatraju explains how granular data allows real-time community solar allocation and EV tariff optimization.
Device Interoperability and Whole-Home Energy Management 7201 Kann sets up a detailed, technically grounded hypothetical involving bidirectional EV charging, smart thermostats, and California TOU rates to question whether disparate devices require a centralized whole-home manager. Bhatraju agrees with the premise and describes Arcadia's role as foundational infrastructure.
Sponsor Messages: Bloom Energy and ENGIE 8101 After the mid-roll break, Kann pushes beyond basic carbon accounting by articulating the need for forward-looking, temporally granular projected carbon intensity to drive real carbon management decisions. Bhatraju fully validates Kann's technical vision.
The Need for High-Fidelity Data to Drive Clean Energy Sales 6413 Kann plays devil's advocate, asking if rough high-level estimates are sufficient rather than granular telemetry. Bhatraju counters by demonstrating how lack of precise data creates massive funnel drop-offs and unmet savings promises for rooftop solar and EV providers.
Missing Data Infrastructure and Utility Responsibilities 5400 Kann inquires about missing data layers that remain unavailable. Bhatraju highlights inconsistent global utility telemetry and argues utilities themselves should set authoritative hourly carbon intensity standards.
Scaling from Home Electrification to Commercial Decarbonization 7312 Kann challenges whether the 80/20 rule applies to home electrification, arguing that HVAC, EVs, and batteries account for almost all consumption while plug loads are negligible. Bhatraju agrees on residential loads but reframes the growth thesis around commercial decarbonization and induction stove transitions.
Developing a Defensible Moat as an Energy Data Platform 7201 Kann asks how data platforms build durable defensible moats. After Bhatraju compares Arcadia to Plaid and single API standardization across thousands of utilities, Kann illustrates the concept with his own experience building GTM Research's behind-the-meter solar database.

Statements from this episode (18)

Opinion
Kann: Only Opower historically built scalable consumer energy data businesses
“But I would say that historically no one, save maybe for Opower, figured out a truly scalable business surrounding this data.”
Shayle Kann May 26, 2022 ▶ 3:31
Assertion Supported
Arcadia raises $200M Series E led by J.P. Morgan at $1.4B valuation
“And it's working, at least to the extent that Arcadia just announced a two hundred million dollar Series E financing led by JP Morgan at a reported 1.4 billion dollar valuation.”
Shayle Kann May 26, 2022 ▶ 3:59
Disclosure
Kann: Energy Impact Partners led Arcadia's Series A and backed every round
“Well, probably most importantly, my firm, Energy Impact Partners, is an investor in Arcadia. We led the company Series A, and we've invested in every round since then.”
Shayle Kann May 26, 2022 ▶ 4:48
Insight
Bhatraju: Utility payment history beats FICO scores for clean energy financing
“What we have found is that on-time payment history can be a better indicator of future payment history than something like a credit score or FICO score”
Kiran Bhatraju May 26, 2022 ▶ 8:48
Disclosure
Arcadia maintains database of over 200,000 U.S. utility rate structures
“We have today, at least just in the U.S., a database of over 200,000 different tariff and rate structures.”
Kiran Bhatraju May 26, 2022 ▶ 9:18
Opinion
Bhatraju: Green Button initiatives suffer from poor UX and utility execution
“Green Button and some of the other attempts, at the end of the day, they all suffer from poor customer experience, limited data availability Fairly weak service quality, and sometimes all three you know, wrapped and packaged and utilities were sort of promised…”
Kiran Bhatraju May 26, 2022 ▶ 11:56
Assertion Not checkable as stated
Arcadia: Community solar is the company's largest vertical to date
“Today you know, our biggest vertical to date has been community solar.”
Kiran Bhatraju May 26, 2022 ▶ 15:05
Assertion Not checkable as stated
Arcadia: A major EV OEM uses its API to calculate charging rates
“One of the larger EV OEMs, as you pull up their app to charge they're actually pulling from our API, whether, again, whether you live in, you know, Kentucky, DC, California, all the different rate structures available to you so that you can get the cheapest ch…”
Kiran Bhatraju May 26, 2022 ▶ 17:15
Disclosure
Arcadia positioned itself as picks-and-shovels infrastructure for home energy data
“We at Arcadia decided that we just wanted to be the picks and shovels while folks sort of figured this out.”
Kiran Bhatraju May 26, 2022 ▶ 19:55
Assertion Not checkable as stated
Bhatraju: Most enterprise ESG accounting software relies on estimates, not data
“A lot of these companies that are approaching the enterprise, fortune The E in your ESG they're mostly running off estimates, right?”
Kiran Bhatraju May 26, 2022 ▶ 25:54
Disclosure
Bhatraju: SunPower uses Arcadia data for residential solar proposals
“So some power uses our data Around their solar proposals.”
Kiran Bhatraju May 26, 2022 ▶ 30:31
Insight
Bhatraju: Requiring 12 past utility bills causes massive solar funnel drop-off
“When you look at any rooftop solar company's funnel, there's a huge drop-off when the salesperson, you know, they come to your door, they say, we'll get you cheaper solar, put it on your roof. Then they say, can you print out 12 of your past PDF utility bills?…”
Kiran Bhatraju May 26, 2022 ▶ 30:37
Assertion Supported
Bhatraju: Arcadia and Urjanet reach 9,000 utilities across 52 countries
“So with the combination of Virginette, we're able to pull, again, you know, 52 countries, like 9000 utilities around the world.”
Kiran Bhatraju May 26, 2022 ▶ 34:45
Opinion
Bhatraju: Utilities should set a single standard for intraday carbon intensity
“There needs to be a single standard, and I actually see this as where the utilities role is, of, like, what is the single standard on a utilities distribution grid of the carbon intensity in an intraday period? Like, I think they should own that. Someone shoul…”
Kiran Bhatraju May 26, 2022 ▶ 35:30
Disclosure
Arcadia is expanding its platform into commercial buildings
“Part of where we're going as a business, though, is expanding into small commercial and commercial buildings where there's just so many more options and use cases depending on what the business is doing and what they can do to a building.”
Kiran Bhatraju May 26, 2022 ▶ 39:01
Insight
Bhatraju: Rooftop solar should be the entry point to whole-home electrification
“I think, you know, rooftop solar companies do this amazing feat, which is sell someone a 20, 25 year power plant on their roof. But it really should be the entry point to whole home electrification, all those little products stacking up value and management fo…”
Kiran Bhatraju May 26, 2022 ▶ 39:43
Prediction Not checkable as stated
Bhatraju: Home energy sector will shift from single devices to full-home managers
“I see the sort of us going through a period of everyone attacking, you know, their product, their device, trying to own the customer to then these full-fledged, like new energy managers. That are sort of fully managing the home.”
Kiran Bhatraju May 26, 2022 ▶ 40:20
What-if
Bhatraju: Arcadia remains valuable even if all utilities build APIs
“If tomorrow we woke up and every utility in America Created like an incredibly well-documented API for their utility. We would still provide an incredible service that is a single meta API for all thousands of those, just with probably better data being piped …”
Kiran Bhatraju May 26, 2022 ▶ 44:22
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