Cloneable Secures $4.6 Million Seed Round
Cloneable, a Raleigh, North Carolina-based startup founded in 2023, has raised $4.6 million in seed funding, according to Crunchbase News. The round was led by Congruent Ventures and included participation from First In, Overline, Bull City Venture Partners, and St. Elmo Venture Capital, bringing the company’s total funding to $5.35 million.
Origins and Founders’ Experience
The startup was co-founded by Tyler Collins, Lia Reich, and Patrick Lohman, who previously worked at drone company PrecisionHawk. In 2019, during California wildfires, they deployed 150 drone pilots to inspect thousands of miles of transmission lines, but data review proved unscalable, as observed in a PG&E utility command center with hundreds of workers manually reviewing footage. This experience led to the realization of a ‘knowledge crisis’ in heavy industries like energy, oil and gas, and agriculture, where experienced workers are retiring faster than they can be replaced, according to Crunchbase News.
Technology and Product Offerings
Cloneable uses AI to shadow human experts and replicate their specialized workflows into autonomous agents for industries such as energy. The company launched Cloneable Field in February 2025 for automated infrastructure inspection and is now introducing an agentic product that codifies expert knowledge. It targets expansion into sectors like public utilities, vegetation management, construction, rail, mining, agriculture, and manufacturing, with the platform capturing institutional knowledge not found in general AI models. The company has dozens of customers, including American Electric Power, Southern California Edison, Burns & McDonnell, TRC, Sigma, and Perdue, which is applying the technology to livestock and food supply.
Growth and Future Applications
Cloneable reports growing its annual recurring revenue 100x between February and the end of 2025, and it differentiates by leveraging a decade of experience in these industries to create cost-effective AI agents. The funding will support further development, including automating workflows traditionally seen as too complex, such as those involving structural calculations for utility poles. According to Crunchbase News, this approach allows for significant efficiency gains in labor-intensive tasks.
