Third Loop
Third Loop provides a human-in-the-loop AI platform for technical teams in precision-critical industries like nuclear and energy services. The platform codifies institutional knowledge, processes, and tools into reusable building blocks, enabling AI to analyze documentation, generate calculations, and write technical reports that engineers review and approve. All data remains in a private environment, never shared or used for model training.
- Artificial Intelligence
- Software Only
- AI Agents
- Enterprise Software
Funding
Founders
Founder details are not available yet.
Product
Problem
General-purpose AI tools lack the precision, institutional knowledge, and access to proprietary engineering tools required for technical work. Engineers in fields like nuclear and energy services cannot rely on AI that doesn't understand their repeated workflows or produce calculations that are defensible and reproducible, putting projects at risk.
Solution
Third Loop provides a human-in-the-loop AI platform that codifies an organization's knowledge, processes, and tools into reusable building blocks. The platform applies these resources on the fly or within repeatable workflows, enabling AI to analyze documentation, generate calculations, and write technical reports. Engineers review and approve the AI's output, ensuring every result is verified and signed by a qualified professional. Data remains in a private environment, never shared or used for model training, preserving confidentiality and control.
Target Audience
Primary customers are technical teams in engineering-heavy industries such as nuclear, energy, and infrastructure, where defensible calculations and reproducible workflows are essential.
Features
- Codifies institutional knowledge, processes, and tools into reusable building blocks for consistent application
- Supports both ad-hoc analysis and repeatable workflow automation
- Generates technical calculations and reports with full traceability to source documents
- Human-in-the-loop review ensures engineers validate and sign off on all outputs
- Private environment deployment keeps data isolated and unused for model training
- Built for precision-critical industries like nuclear and energy services