Nathan Clark is the Co-Founder and CEO of Ganymede, the modern data platform and cloud infrastructure for science. Prior to Ganymede, Nathan was a product manager for several of Benchling’s data products, including the Insights BI tool and the Machine Learning team. He has a background in machine learning and data systems across financial technology and general technology.
Agentic coding tools like Cursor or Claude Code are killer apps for AI and bring the cost of simple code changes to zero, though they struggle with complex tasks. In labs leveraging agentic coding, the human bottleneck is increasingly SME time to discover requirements. For agents, context and accessing data are the bottleneck: agents write code well, but can't know the full picture of requirements and context when much of this lives in humans' heads. Further, data is often trapped in siloes like lab instrument PCs or Chromatography Data Systems. We discuss the digital path forward to maximize AI potential.
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