In this episode, guest host Kate Reznykova, previous Partner at N47, speaks with Ulrik Hansen, Co-Founder of N47-backed Encord, a data development platform that helps companies manage, curate, and label multimodal data such as image, video, audio, document, text, and DICOM files.

The episode explores the origin story of Encord and the challenges Ulrik and his co-founder Eric faced in building scalable data infrastructure for AI. Ulrik explains how their platform simplifies data creation, annotation, and model evaluation, enabling companies to unlock the potential of their data for applications like diagnosing medical conditions or improving autonomous vehicles. By focusing on the critical steps of streamlining and cleaning data, Encord has positioned itself as a key player in helping organizations build more accurate and effective AI models.

Ulrik also shares insights into scaling a mission-driven startup, from early days coding prototypes at Eric’s dining room table to fundraising and growing a team of nearly 80 people. He discusses the transition from founder-led sales and product development to building a scalable business model and hiring specialized teams. He attributes much of Encord’s success to staying adaptable, learning quickly, and iterating based on customer needs.

The discussion dives into the future of AI, including the rise of multimodal systems, advancements in reasoning, and the potential of AI agents. Ulrik highlights how these are reshaping industries and shares how Encord is preparing for this future.

Enjoy!

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Timestamps:

* 05:05 - The technical hurdles of building a scalable platform for massive datasets

* 15:20 - The evolution from hands-on founder to leader, sharing insights into hiring, scaling sales, and transitioning responsibilities

* 27:25 - What it takes to grow from Series A to Series B

* 36:00 - What trends are shaping AI’s next phase, including multimodal systems, advanced reasoning, and intelligent agents

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Strategies For Builders Becoming AI Founders with Ulrik Hansen, Co-Founder, Encord