Lium Raises $5.5M in Seed Funding by SJF Ventures

The round saw Backers included SJF Ventures, Wavemaker 360, Reach Capital, and GC&H Investments.

The company plans to use the funding to expand its operations and support ongoing product development.

Lium helps organizations work with complex datasets that are often difficult for AI systems to understand, including seismic surveys, satellite imagery, and scientific data. The platform makes this information accessible through natural language, allowing users to ask questions in plain English and receive clear, reliable answers.

By reducing the need for manual analysis and fragile AI models Lium helps teams gain insights more quickly. The knowledge generated can also be stored, and reused, creating a growing institutional knowledge base that becomes more valuable over time.

With its commercial launch, Lium is targeting industries that depend on complex data, including energy, geospatial analytics, space, engineering, manufacturing and scientific research. These sectors generate large amounts of valuable information that can be difficult to analyze, and use effectively.

While AI has transformed the way people work with digital information, it has had limited impact on industries that rely on large, fragmented datasets, and physical systems. Lium aims to bridge that gap by making complex data easier to understand and use, helping drive the next generation of innovation, and discovery.

With Lium, teams can connect their datasets, and the platform prepares them for AI use. It ingests raw data, organizes it into a structured format, and processes it so AI systems can deliver reliable and consistent results. Lium also creates specialized tools and workflows, with human oversight, to help uncover deeper insights.

As the platform is used, it continuously learns and improves from each query. This makes complex datasets easier to search, analyze and share, helping organization's make better use of their information over time.

“There is so much incredible, complex data in our world that can reveal truths about everything from climate systems to molecular signals. The constraint isn’t access anymore — it’s usability,” said Ward Vuillemot, CTO of Lium. “That is the problem we’re working to solve. Lium is fundamentally reinventing data architecture, moving beyond data lakes and data warehouses to create a living, explorable data universe.”

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“Having access to an AI system like Lium allows our scientists to handle the scale and complexity of the data we work with without also having to be software engineers” said James Anheuser, Ph.D., Researcher at NCICS. “A user can quickly gain climate or weather risk insights from numerous complex datasets because Lium manages the compute, blends datasets, and navigates disparate file formats for you.”

“In advanced industries, the answers experts need are often hidden across multiple file formats, disconnected systems, and massive datasets that require a data engineer to work with,” said Ryan Thill, co-founder and president of Lium. “Lium removes that complexity, making sophisticated analysis as simple as asking a question. We saw the profound impact of this accelerated analysis in our work in astrophysics, and now our customers are seeing the same value.”

“Large language models changed how we work with text and code, but they are quite limited when it comes to understanding the data that represents our physical world,” said Josh Knutson, co-founder and CEO of Lium. “AI holds huge potential to solve many of humanity’s most pressing problems, but the most important data across energy, science, and infrastructure remains difficult for existing systems to reason over.

About Lium

Founded by Josh Knutson and Ryan Thill, Lium is a technology company that helps organizations make better use of complex data. Its platform organizes technical datasets and makes them accessible through natural language, allowing users to analyze, and understand information more easily. Lium works with organizations in industries such as energy, climate, infrastructure and scientific research, helping teams turn difficult-to-use data into actionable insights.

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