Exclusive: Cloneable Raises $4.6M To ‘Clone’ Expert Worker Knowledge With Agentic AI For Utilities And Infrastructure

2026-04-23 · Source: Artificial intelligence - Crunchbase News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems · Depth: Fundamental Awareness, quick

Summary

Cloneable, a startup specializing in AI agents for heavy industries, has secured $4.6 million in seed funding, led by Congruent Ventures, bringing its total raised to $5.35 million since its 2023 inception. The company develops AI that shadows human experts in sectors like energy, oil and gas, and agriculture to replicate specialized workflows into autonomous agents. This addresses a "knowledge crisis" where experienced workers are retiring faster than they can be replaced. Cloneable launched "Cloneable Field" in February 2025 for automated infrastructure inspection in the energy sector and is now expanding its agentic product to codify expert knowledge into scalable AI agents. The funding will support expansion into public utilities, vegetation management, construction, rail, mining, agriculture, and manufacturing, aiming to automate complex workflows previously considered unfeasible.

Key takeaway

For executives in heavy industries facing a retiring workforce and increasing demand, Cloneable's AI agents offer a solution to capture and scale institutional knowledge. You should evaluate how "expert cloning" can automate complex, industry-specific workflows, potentially redirecting labor from routine tasks to higher-value work and significantly increasing operational capacity, such as processing millions of utility poles annually.

Key insights

AI agents can capture and scale human expert knowledge in heavy industries facing a "knowledge crisis."

Principles

• Expertise cloning addresses critical knowledge gaps.
• Industry-specific AI outperforms generic models.

Method

Cloneable's platform "shadows" experts, capturing audio and documentation during workflow execution, then converts this contextual experience into a specialized AI agent for task automation.

In practice

• Automate complex utility pole structural calculations.
• Apply expert cloning to livestock and food supply chains.

Topics

• Agentic AI
• Expert Knowledge Transfer
• Utilities & Infrastructure
• Automated Inspection
• Industrial Automation

Best for: Executive, Entrepreneur, Director of AI/ML, Consultant, Investor

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial intelligence - Crunchbase News.