In high-stakes industries, 99% accurate is the same as wrong.
That last 1% is the entire business.
In renewable energy, a single mistake can delay projects by months… or kill them entirely.
That’s exactly what Jacob Sandry saw while deploying over $3B into renewable energy projects at Goldman Sachs.
60% of projects were delayed. 30% were canceled altogether.
Not because the technology didn’t work… but because the process was chaos.
In this episode of Verticals, Jacob breaks down how Euclid Power is building the operating system for renewable energy — using AI, structured workflows, and human expertise to solve the “last messy mile” of energy development.
They unpack why vertical AI works differently in regulated, mission-critical industries:
-Why AI alone isn’t enough when mistakes have real consequences
-How humans-in-the-loop become a competitive advantage
-Why trust, compliance, and domain expertise matter more than model quality
They also go tactical on what is working right now:
-Why services + AI can outperform pure SaaS in vertical markets
-How to price against labor budgets instead of software budgets
-Why unstructured data is the biggest opportunity in enterprise AI
If you are building in AI, energy, healthcare, construction, or any industry where accuracy and trust matter more than speed, this episode is a masterclass in vertical AI.
👉 FOLLOW JACOB SANDRY
LINKEDIN ➡️ https://www.linkedin.com/in/jacobsandry/
👉 FOLLOW LUKE SOPHINOS
X ➡️ https://x.com/lukesophinos
LINKEDIN ➡️ https://www.linkedin.com/in/lukesophinos/
NEWSLETTER ➡️ https://www.newsletter.lukesophinos.com/
👉 FOLLOW NIC POULOS
X ➡️ https://x.com/picnoulos
LINKEDIN ➡️ https://www.linkedin.com/in/npoulos/
NEWSLETTER ➡️ https://insights.euclid.vc/
🎬 TIMESTAMPS:
00:00 Intro
01:55 The hidden bottleneck nobody talks about
05:01 From “alternative energy” to a $3B investment strategy
10:13 Why AI services work better than pure SaaS here
18:46 The multiplayer workflow behind billion-dollar projects
21:03 Why AI still struggles with the “last 1%”
31:37 Selling into industries where mistakes aren’t allowed
44:47 Is regulation actually a moat in AI?
47:20 Why energy could become the biggest AI opportunity of all
49:19 The long-term vision