AI Copilot for Climate, ESG, and Financial Risk

Automate data processing, generate insights, and interact with your entire climate and financial dataset through a single intelligent interface.

From raw data to decisions, powered by AI across every workflow.

Preview of the EnDecarb Co-Pilot interface

Ask Questions. Get Insights. Execute Workflows.

Interact with your entire dataset across financed emissions, climate risk, and ESG reporting using natural language.

Core Capabilities

Preview of the EnDecarb Co-Pilot interface

Chatbots across all modules

Financed emissions analysis at portfolio and counterparty level

Climate risk insights across hazards, geographies, and scenarios

ESG accounting and reporting support

Example Queries

Show top 10 high emission borrowers

What is my exposure to flood risk in Gujarat

Generate IFRS S2 disclosure summary

Compare emissions across sectors

Outputs

Instant dashboards and charts

Structured tables and drill-downs

Export-ready reports and disclosures

Data Cleaning and Validation Engine

Automated Data Cleaning and Standardization

Intelligent ingestion of Excel, APIs, and reports

Schema validation across ESG templates

Detection of missing, inconsistent, or invalid data

AI-assisted correction suggestions

Capabilities

Normalize units, formats, and financial years

Validate entity mappings and dropdowns

Enhance incomplete datasets using intelligent estimation

Accurate Location Intelligence for Physical Risk Modelling

Pinpointer AI ensures that every asset in your portfolio is mapped to the correct geographic location before climate risk analysis.

Preview of the EnDecarb Co-Pilot interface

What it does

Cleans and standardizes address-level data

Converts addresses into accurate latitude and longitude

Corrects misplaced or low-confidence coordinates

Maps assets to correct district, state, and region

Outputs

High-confidence geo-tagged asset database

Location accuracy scores

Clean input layer for physical risk models

AI Decision Engines / Decarbonisation Engine

AI-Driven Transition and Decarbonisation Planning

Generate emission reduction pathways for portfolios and borrowers

Align with SBTi, IEA, and sectoral benchmarks

Simulate impact of different transition strategies

Outputs

Target setting recommendations

Emission reduction pathways

Investment prioritization

Portfolio Intelligence and Recommendations

Identify high-risk and high-emission exposures

Recommend portfolio rebalancing strategies

Suggest borrower engagement priorities

Automated Reporting and Insights

Generate BRSR, IFRS S2, and internal reports

Auto-create narratives and summaries

Provide audit-ready documentation

One AI Layer Across the Entire Platform

Conversational AI

Natural language interaction across all modules

Intelligent Data Layer

Cleaning, validation, and geo-correction with Pinpointer AI

Analytical AI

Advanced modelling, anomaly detection, and insights

Decision AI

Recommendations for risk, capital, and decarbonisation

Preview of the EnDecarb Co-Pilot interface