LendAPI Podcast
LendAPI Podcast
Podcast Description
We dedicate this podcast to the hard working men and women from members on LendAPI's Marketplace.
Podcast Insights
Content Themes
The podcast focuses on key themes in fintech, such as financial infrastructure, credit assessment, data analytics, and risk management. Episodes feature discussions on user experience in financial services, innovations in loan servicing, and the role of data in enhancing credit decision-making, with examples like how Pave utilizes cash flow insights and how Conductiv employs AI for smarter lending.
We dedicate this podcast to the hard working men and women from members on LendAPI’s Marketplace.
In this episode, host Timothy Li (CEO, LendAPI) talks with Ty Wittman of Pulse about why banks still read documents by hand, why template-based OCR was never going to solve it, and what it takes to extract data from a commercial loan packet with confidence a credit committee can actually trust.
Ty grew up in Iowa, studied computer science, and fell into banking through an IT role at a local bank, working alongside the nCino, Salesforce, Q2, and Temenos ecosystems before landing in document AI. He and Tim cover why legacy cores persist, how vision language models read documents the way a human does, and why unstructured documents may hold 60-70% of a company’s data.
What You’ll Learn:
- Why banks stay on legacy systems: reliability, security, auditability, and trust matter more than novelty
- Why consumer lending automates first while $30M+ commercial deals still depend on manual reading and spreading
- How vision language models replace brittle OCR templates by understanding layout, footnotes, handwriting, scans, charts, and tables
- Why “95% accurate” isn’t accurate in lending, and why every extracted value needs a confidence score and a traceable source (page, table, cell)
- How cross-page context catches conflicts, like income figures on one page and adjustments three pages later
- Why the same approach reaches oil and gas well logs, mineral rights records, and data center construction financing
- Why AI-generated bank statements and forged checks are now a real risk, and why document provenance and metadata matter
- Why specialized, contextual models in financial services beat a general LLM with no domain knowledge
About Pulse
Pulse is a document AI platform that extracts structured, auditable data from complex financial documents with field-level confidence scores and source traceability, built for regulated industries like banking and lending. Pulse is a partner on the LendAPI Marketplace.
Learn more: https://runpulse.com
Explore the LendAPI Partners: https://www.lendapi.com/marketplace
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