Cloneable Raises $4.6M Seed to Launch Agentic Platform for Infrastructure Operations

Cloneable, a Raleigh, NC-based AI automation company focused on infrastructure operations, announced a $4.6 million seed round led by Congruent Ventures, with participation from First In, Overline, St. Elmo Venture Capital, and Bull City Venture Partners. The company also launched Cloneable Agent, an agentic platform that captures institutional knowledge from experts and deploys it as specialized AI agents.

Cloneable Agent can shadow experts using desktop or web-based software and convert back-office workflows into AI agents. At launch, the company published purpose-built templates for the energy sector, including make-ready engineering, permitting, and joint use, and said those templates are demonstrating time-to-value in as little as 24 hours.

Key access and partners

• •Lead investor: Congruent Ventures
• •Participating investors: First In, Overline, St. Elmo Venture Capital, Bull City Venture Partners

The founders, Tyler Collins, Lia Reich, and Patrick Lohman, have a background in commercial drone operations and infrastructure work. The company positions its product as a response to a loss of institutional knowledge in heavy industries as experienced workers retire. Cloneable Agent targets infrastructure-intensive sectors such as energy, utilities, construction, and agriculture.

What's next

Crunchbase reported that this round brings Cloneable's total raised since founding to the figure reported by that outlet. The company says it will use the funding to expand across infrastructure industries and accelerate deployment of its agent templates.

• •Early customer deployments in utilities and energy to validate agent accuracy and safety in operational settings.
• •How templates scale across other infrastructure domains such as rail, mining, and construction.

Cloneable closed a $4.6M seed round and launched an agentic platform aimed at preserving and automating specialist operational knowledge for heavy industries.

Why it matters

Preserving institutional expertise with agentic automation could reduce operational bottlenecks in infrastructure sectors that rely on scarce, highly specialized human knowledge.