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In today’s episode of Future Proof, we sit down with Anant Bhardwaj, Founder & CEO of Instabase. Anant shares how Instabase pioneered the use of transformer models for unstructured enterprise data, and how the rise of large language models is shifting value creation from field-level accuracy to full end-to-end workflows.
We discuss:
- Finding product-market fit with nascent AI technologies
- Moving beyond “LLM wrappers” to deliver end-to-end customer value
- Lessons from building in regulated industries like banking and healthcare
- Why user experience, not model quality, defines AI product success
Highlights:
(0:00) Clips
(0:53) Opening thoughts
(2:15) Instabase early journey before the AI wave
(5:28) How new models have shifted product development strategy
(10:16) Creating value for customers with LLMs
(12:06) Working with heavily regulated customers
(15:16) What’s been the hardest about building infrastructure for unstructured data use cases?
(21:06) AI infrastructure bets companies should be making today?
(23:06) How Agents will work with unstructured data?
Host: Ethan Lee https://www.linkedin.com/in/thatethanlee/
Producer: Forrest Herlick https://www.linkedin.com/in/forrestherlick/
Guest: Anant Bhardwaj https://www.linkedin.com/in/anantpb/
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Learn more about Instabase -> https://instabase.com/
