Across tabs, tools, portals, and 100-400 page PDFs. No single source of truth.
Research takes hours or days. Finding the right emission factor means navigating labyrinthine documents.
Raw AI will confidently cite an emission factor and be wrong by the third decimal place. Or entirely.
“There is no single layer of intelligence
that integrates everything.”
A structured, indexed, source-verified data layer sitting between you and the model.
Query emission factors, carbon credits, climate indicators, and regulatory thresholds. Get the exact published value with its source.
Every answer traces back to a published standard, registry entry, or dataset. KLERO retrieves before it reasons.
SQL + RAG over indexed tables. Not a chatbot wrapper. A structured data layer between you and the model.
What takes analysts hours of digging through 400-page PDFs, KLERO answers in seconds. Research velocity, redefined.
Natural language. No query syntax. No portal navigation.
SQL queries across indexed tables. RAG retrieval from 130K+ document chunks. The exact published value is found before AI ever speaks.
The AI model receives the retrieved data, not its training memory. Every claim is grounded. Every number is sourced.
The exact value, the source document, the page number. Auditable, citable, defensible.
Every dataset you add makes the platform more indispensable and harder to replicate.
Join the beta and experience climate intelligence that's accurate, instant, and citable.