10x your sustainability output with AI Agents
Run repeatable workflows for data collection, transformation, and product footprints-so your team can focus on decisions, not admin.
Trusted by enterprises leading the way in sustainability

How Unravel AI agents fit into your workflows
Each AI agent runs a focused workflow-from gathering inputs to producing review-ready outputs. Start with one agent, or use multiple ones to accelerate an entire engagement.

Designed for audit-level workflows
.AI should reduce effort-not reduce confidence. Unravel AI is built to keep work structured, reviewable, and easy to explain
Designed for audit-level workflows
.AI should reduce effort-not reduce confidence. Unravel AI is built to keep work structured, reviewable, and easy to explain
Clear inputs
Workflows stay structured from the first question to the final file
Review-first design
Agents surface what’s missing or inconsistent so you can resolve it early.
Workflow-ready deliverables
Exportable files and publishable outputs, depending on the agent.
Traceable assumptions
Key inputs (like electricity use) can be inspected and adjusted.
Trusted by sustainability teams and advisory firms.
See what customers and partners say about using Unravel AI in real delivery workflows.
Frequently Asked Question
See how Unravel AI Agents simplify reporting, boost accuracy, and accelerate climate action.
Do I need to be an expert to use the agents?
No. Each agent guides you through its workflow step-by-step, so teams can run analyses without deep domain expertise. The agents handle the technical work—like matching emission factors, standardizing data formats, and identifying compliance gaps—while you focus on reviewing results and making decisions.
What happens to my data when I upload it?
Your data stays private and secure. It's never shared with third parties, never used to train AI models, and only accessed by authorized users in your workspace. Each agent processes your data solely for your analysis and audit trail.
What if I need to make changes after an agent completes analysis?
Most agents allow you to adjust inputs and re-run. For example, with Emissions Calculation, you can correct flagged data and re-run the transformation. With Product Intelligence, you can update assumptions (use phase, manufacturing energy) and the PCF recalculates. Some outputs, like Gap Analysis reports, can be reviewed and refined for your specific context.
How do I know the results are accurate?
Each agent is designed with transparency in mind. Emissions Calculation shows what was mapped and flagged. Data Review surfaces missing fields and patterns. Product Intelligence displays emission factor sources and assumptions. Gap Analyzer maps requirements to your documents. You always review and validate agent outputs before they're used for decisions or reporting.
See Unravel AI on one of your workflows.
Bring one dataset or one use case. We’ll show you how the agents run it end-to-end, and what “review-ready” looks like in practice.
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