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Reshaping Workflows with Lisen Kaci, CEO & Founder @ Discrepancy AI

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Manage episode 485132980 series 1269056
Content provided by Nectarios Economakis and Amiral Ventures. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nectarios Economakis and Amiral Ventures or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode, we spoke with Lisen Kaci, the founder behind Discrepancy AI. Lisen talks about his journey from working as an AI engineer in document processing to founding his startup based in Toronto. He identifies key industry limitations with legacy OCR technologies and explains how Discrepancy AI is leveraging AI tool-chaining to convert any document into actionable structured data.

Their innovative approach focuses on reducing manual review costs by over 80%. Lisen discusses various use cases, including income verification for rental and mortgage screening. He emphasizes their unique, no-code implementation that integrates seamlessly with existing systems. The conversation also touches on the future of AI, industry challenges, fundraising strategies, and Discrepancy AI’s next product launch that aims to automate complex report generation.

  continue reading

37 episodes

Artwork
iconShare
 
Manage episode 485132980 series 1269056
Content provided by Nectarios Economakis and Amiral Ventures. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nectarios Economakis and Amiral Ventures or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode, we spoke with Lisen Kaci, the founder behind Discrepancy AI. Lisen talks about his journey from working as an AI engineer in document processing to founding his startup based in Toronto. He identifies key industry limitations with legacy OCR technologies and explains how Discrepancy AI is leveraging AI tool-chaining to convert any document into actionable structured data.

Their innovative approach focuses on reducing manual review costs by over 80%. Lisen discusses various use cases, including income verification for rental and mortgage screening. He emphasizes their unique, no-code implementation that integrates seamlessly with existing systems. The conversation also touches on the future of AI, industry challenges, fundraising strategies, and Discrepancy AI’s next product launch that aims to automate complex report generation.

  continue reading

37 episodes

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