Cloneable Raises $4.6 Million in Seed Funding
Cloneable, a startup based in Raleigh, North Carolina, has raised $4.6 million in seed funding, as the company shared exclusively with Crunchbase News. Congruent Ventures led the round, with participation from First In, Overline, Bull City Venture Partners, and St. Elmo Venture Capital, the investment arm of Texas Area Telecom. This brings Cloneable’s total funding to $5.35 million since its inception in 2023.
Origins and Inspiration
Cloneable’s co-founders, Lia Reich, Tyler Collins, and Patrick Lohman, previously worked at drone company PrecisionHawk and encountered challenges during California wildfires in 2019, according to Crunchbase News. They deployed 150 drone pilots to inspect thousands of miles of transmission lines, but data review required manual effort from hundreds of workers, highlighting a scalability issue. Reich described this as a realization that expert knowledge could be cloned to address bottlenecks in heavy industries like energy.
Technology and Applications
The startup focuses on capturing institutional knowledge in sectors such as energy, oil and gas, and agriculture, where experienced workers are retiring faster than they can be replaced. Cloneable launched its Cloneable Field product in February 2025 for automated infrastructure inspection and is now introducing an agentic product that turns expert workflows into scalable AI agents. For instance, the company states that a process taking a human engineer eight hours, such as structural calculations for utility poles, can be completed by its AI agent in under two minutes.
Expansion and Impact
With the new funding, Cloneable plans to expand into industries including public utilities, vegetation management, construction, rail, mining, agriculture, and manufacturing. The startup reports growing its annual recurring revenue 100x between February and the end of 2025 and serving customers like American Electric Power, Southern California Edison, and Perdue. According to Crunchbase News, Cloneable differentiates by shadowing experts in real time to create specific AI agents tailored to industry needs.
