Klever
Klever provides a turnkey sustainability data platform for European banks, combining AI-extracted reported data with analyst verification for full traceability. The platform covers financed emissions, Pillar 3 ESG templates, Green Asset Ratio reporting, and physical climate risk analysis across the entire banking book, with risk scoring across 50+ hazard layers aligned with EBA guidelines.
- Regulatory & Compliance Technology
- Financial Technology
- Data & Analytics
- Clean Technology
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
European banks face increasing regulatory pressure to report on financed emissions, Pillar 3 ESG disclosures, and physical climate risks, yet sourcing verified sustainability data for every counterparty in their portfolio remains labor-intensive and incomplete. Existing data providers mainly cover large listed companies, leaving coverage gaps for SMEs and private firms, while internally built AI tools lack verification and source traceability.
Solution
Klever provides a turnkey sustainability data platform for European banks, combining AI-extracted reported data with analyst verification to ensure accuracy and full traceability for every datapoint. The platform covers financed emissions (PCAF), Pillar 3 ESG templates, Green Asset Ratio reporting, and physical climate risk analysis across the entire banking book. For physical risk, Klever discovers key assets for any company or address and applies transparent, configurable risk scores across 50+ hazard layers aligned with Pillar 3 ITS and EBA guidelines. The platform integrates into existing infrastructure through native shares, REST API, Delta Sharing, CLI, and bulk file exports, minimizing internal headcount requirements.
Target Audience
Primary customers are European banks and financial institutions that need prudential ESG data and physical risk analysis for regulatory compliance, including financed emissions reporting, Pillar 3 ESG templates, and EBA ESG risk management guidelines.
Features
- AI-extracted reported data (GHG emissions, EU Taxonomy, ESRS/VSME, SBTi targets) verified by two analysts with full source traceability
- Full company list coverage, including private and mid-sized companies, with tailored metric collection based on each bank's needs
- Physical risk scoring across 50+ hazard layers (flood, heat, wildfire, drought, cyclone, landslide) with asset-level detail down to NUTS 3 location
- Key-asset discovery for any company from name or identifier, verified and geocoded for full banking book coverage
- Transparent and configurable risk engine methodology with multi-scenario, multi-timespan analysis for Pillar 3 CRFR2/CRFR2.1 and EBA stress testing
- Integration through native data sharing (Snowflake, Databricks), Delta Sharing, REST API, CLI, MCP server, and bulk files