GreenFi

What GreenFi does

GreenFi is a SaaS-based ESG Risk & Due Diligence Software that helps Financial Institutions and Corporates with ESG Due Diligence, Risk Assessments & Automated Decisioning for Sustainable Investments. Its ESG AI platform helps banks increase origination of sustainable financing, providing SMEs with increased access to capital for transitioning to sustainable operations. GreenFi is an ESG intelligence platform built on ESG data and AI, providing data, tools, and frameworks to help investors, corporates, and governments build and finance the new climate economy. It simplifies access to green financing and aims to power the world's transition to zero emissions, working across financial services, supply chain, and debt markets.

Products

• ESG Compliance & Risk Management SoftwareA customizable platform for ESG needs including risk, reporting, and compliance.
• ESG Due DiligenceProvides a comprehensive 360-degree unified view to examine all ESG aspects of a business, customers, portfolio, transactions, investments, and suppliers, eliminating fragmented systems.
• ESG Risk AssessmentOffers traceable, transparent, and configurable risk assessment combining expertise with data and AI technology to identify risks in customers, products, portfolio, and supplier choices.
• Recommendation SystemNo-code AI infrastructure with proprietary AI-enabled deep learning models that provide automated decisioning recommendations.
• Automated Data AggregationSimplified and organized ESG data collection and aggregation with a plug-and-play data platform, data lake, and data models, eliminating manual data engineering processes.
• Sustainability MonitoringAutomated real-time sustainability performance monitoring and risk identification for real-time visibility and decisioning-assistance.
• Sustainability Control TowerUses explainable AI to ingest siloed unstructured data (ESG reports, disclosures, certificates, carbon emissions, news, incidents, regulatory info, physical climate risk, biodiversity, geo spatial data, ESG policies, benchmarking reports) to generate insights and recommendations.
• GreenFi ESG Monitoring ModuleA module for monitoring ESG performance.
• GreenFi ESG Reporting ModuleA module for generating ESG reports.
• Greenfi ESG Decision PlatformA platform for making ESG decisions.
• GreenFi for Sustainable Supply ChainA solution for managing ESG in the supply chain.
• GreenFi AI for Decision IntelligenceAI-powered decision intelligence for ESG.
• GreenFi ESG AI PlatformA SaaS-based climate and ESG compliance and risk management software that aggregates sustainability data and combines it with audit and AI-powered predictive recommendations for ESG-compliant business decisions.

Key capabilities

• AI Enabled ESG compliance and due diligence software
• Comprehensive 360-degree unified view for ESG due diligence
• Traceable, transparent and configurable ESG risk assessment
• No-code AI infrastructure with proprietary deep learning models for automated decisioning
• Automated data aggregation with plug-and-play data platform
• Real-time sustainability performance monitoring and risk identification
• Explainable AI to ingest unstructured data and generate insights
• Real-time monitoring, risk scoring, and scenario analysis for ESG risks
• Automated data collection and customized reports aligned with global standards (GRI, SASB, TCFD)
• Tracking evolving regulations, monitoring gaps, and maintaining audit-ready documentation for ESG compliance
• Seamless integration with existing systems
• ESG transparency, risk assessment, and recommendations
• Open architecture to gather and organize data from multiple sources
• Analytics and AI capabilities for valuable insights through ESG map and vast data
• Transparency and Traceability of decisions with explainability
• Policy Alignment for AI models with approved ESG policies and risk appetite
• Controlled Learning with auditability across model setup, approvals, and version management
• Independent investigations with exact reference to each data element
• Integrated with ESG data providers and screening/detection engines
• Deterministic decisions (Good or Bad, Yes or No)
• Provenance to track decisions to ESG policies/standards/regulations
• Every decision explained to at least human quality
• Neural Networks
• Natural Language Processing (NLP)
• Petabytes of ESG data
• Multi-industry and global coverage
• Millions of autonomous decisions per day
• Peer reviewed, cloud & on-premise ESG compliant AI models
• Combines multiple machine learning techniques (supervised, unsupervised, deep learning, causal methods)
• Model management with business and ESG subject expertise, not coding
• Continuous learning to suggest model performance improvements
• End-to-end model transparency with simulation and monitoring
• Quantifies ESG Information from unstructured data
• Aggregates data from 100,000+ sources (local, national, international news)
• Entity detection, industry specific signal identification, and sentiment scoring
• Generates over 300,000 signals monthly for event detection, materiality assessment, and stock price correlations
• Generates 26 Explainable ESG Metrics (company scorecards, trends, portfolio monitoring, investment opportunities)
• Connects data from different sources in multiple formats and languages
• Leverages structured and unstructured data
• Advanced linguistics for ESG data aggregation from native sources
• Entity resolution to recognize entities and relationships
• Scalable enterprise architecture (Cloud Kubernetes, on-premise Nomad Scheduler)
• ESG LLM (Large Language Models)
• Rich library of risk factors, regulations, and recommendations

Use cases

• ESG Due Diligence
• ESG Risk Assessments
• Automated Decisioning for Sustainable Investments
• Increase origination of sustainable financing for banks
• Increased access to capital for SMEs transitioning to sustainable operations
• Identifying and quantifying risks and opportunities associated with sustainable investments, transition, insurance, and supply chain
• Mitigating risks, identifying investment opportunities, and meeting regulations for Financial Institutions (Customer-360 View)
• Assessing pre-issuance due diligence, risk assessments, tracking SPTs, monitoring post-issuance KPIs, and making informed portfolio decisions for Sustainability Linked Bonds (SLBs)
• Performing real-time ESG risk assessment of counterparties for Trade & Supply Chain Finance
• Enhancing ESG risk assessment for quicker transaction decisions, enabling informed financing choices and ESG risk mitigation in lending portfolios for Sustainability Linked Loans (SLLs) and Green Financing
• Identifying and evaluating ESG risks for insurance portfolios, policy decisions, and compliance (ERM for Insurance)
• Using ESG screens in customer profiles for regulatory compliance, informed credit decisions, and risk mitigation in lending portfolios (Regulatory & Compliance Reviews)
• Assessing suppliers, mitigating ESG risks, and complying with regulations for informed sourcing decisions (Procurement for Corporates)
• Addressing ESG risks throughout the value chain for risk mitigation, informed decisions, and compliance (Value Chain for Corporates)
• Real-time ESG risk identification and mitigation for regulatory compliance, informed decision-making, and risk reduction (Regulatory & Compliance for Corporates)
• Using clear ESG data to engage investors, convey performance, attract ESG-conscious investors, and meet regulations (Investor Relations for Corporates)
• Unlocking green deals, reducing asset risks, and attracting ESG investors for better financing and risk mitigation (Corporate Finance for Corporates)
• Showing ESG commitment, communicating net-zero plans to attract/retain customers, boosting brand reputation, and meeting regulations (Marketing & Communication for Corporates)
• ESG Insights Through AI for Financial Institutions, Asset Managers, Asset Owners, Private-Equity Firms, Wealth Managers, Banks
• ESG Insights Through AI for Corporates, Listed Companies, Private Companies, SMEs, All Sectors
• ESG Due Diligence & Risk Assessments for Asset Managers & Asset Owners
• Deal Origination and Portfolio Creation for Asset Managers & Asset Owners
• Composite Scoring for Asset Managers & Asset Owners
• Portfolio Analysis for Asset Managers & Asset Owners
• ESG Reporting for Asset Managers & Asset Owners
• Company and Industry Research for Asset Managers & Asset Owners
• ESG Alerts & Monitoring for Asset Managers & Asset Owners
• ESG Risk Premia Incorporation for Quantitative Managers
• Proprietary ESG Score Creation for Quantitative Managers
• Risk and Compliance for Quantitative Managers
• Due Diligence for Quantitative Managers
• Research and Monitoring for Quantitative Managers
• Portfolio Risk Management for Quantitative Managers
• Due Diligence for Sell Side
• Research Creation for Sell Side
• Portfolio Analysis for Sell Side
• Alerts and Monitoring for Sell Side
• Reporting for Sell Side
• Supplier Qualification for Supply Chain
• ESG Due Diligence & Risk Assessment for Supply Chain
• Supplier Monitoring for Supply Chain
• Value Chain Performance for Supply Chain
• Net Zero Transition for Supply Chain
• Supply Chain Financing for Supply Chain
• Assessing ESG risks, determining trigger thresholds, and pricing premiums for insurers
• Continuously monitoring data to track trigger conditions for insurers
• Verifying triggering events using real-time data for insurers
• Understanding potential impact of ESG changes and making alternative decisions for strategy teams
• Analyzing ESG insights on supplier alternatives, competitive suppliers, and comparisons across ESG matrix for strategic decisions
• Reviewing comprehensive recommendations on sustainable suppliers, assessing sustainability measures, ESG data, and ESG graph for sustainability teams
• Reviewing sustainability scoops on ESG regulatory matrix performance for compliance teams
• Modeling and assessing impacts of potential climate disruptions and accessing contingency recommendations for brands
• Identifying ways to streamline costs and cut back on spending based on ESG recommendations for finance departments
• Gaining insights to discover ESG bottlenecks and increase efficiencies for logistics teams
• Spotting predictive alerts and red flags on various ESG risk factors for risk teams
• Accessing factory “as-produced” configuration and metrics, product development data, and component/material supplier data for product quality teams
• Green Bonds Compliance & BRSR Reporting for Government Financial Institutions
• ESG Compliance and Impact Measurement for Renewable Energy Companies
• Asset Emissions Tracking
• Digitizing Environmental Risk Management and ESG Reporting for Banks
• Mitigating Environmental Risks for Banks
• Sustainable Sourcing for Retail Giants
• Enhancing Sustainable Supply Chain for Fashion & Apparel Companies
• Climate Risk Assessment & Reporting in Agriculture
• ESG Disclosure
• Asset Management

AI approach

GreenFi leverages AI, including proprietary deep learning models, Natural Language Processing (NLP), and Machine Learning (supervised and unsupervised, deep learning to causal methods), to provide automated decisioning recommendations for ESG compliance, risk assessment, and sustainability monitoring. It uses explainable AI to ingest various unstructured data sources, identify ESG-relevant signals, and generate insights and recommendations. The platform also features an ESG LLM (Large Language Model) and AI agents for contextual decision intelligence.

Tech named: AI, deep learning models, no-code AI, Explainable AI, Natural Language Processing (NLP), Machine Learning, supervised machine learning models, unsupervised machine learning models, causal methods, Neural Networks, ESG LLM, AI agents

Industries served

• Financial Institutions
• Corporates
• Supply Chain
• Debt Markets
• Insurance
• Asset Management
• Retail
• Fashion & Apparel
• Agriculture
• Renewable Energy
• Infrastructure

What it says sets it apart

• SaaS based ESG Risk & Due Diligence Software
• AI-enabled platform for automated decisioning
• Proprietary AI enabled deep learning models
• No-code AI infrastructure
• Explainable AI for transparency and traceability
• Comprehensive set of metrics based on the latest ESG standards and regulations
• User-friendly, plug-and-play solution
• Seamless integration with existing systems
• Open architecture for data gathering and organization
• Complete control over change management process with auditability
• Deterministic decisions (Good or Bad, Yes or No) instead of probabilities or scores
• Provenance to track decisions to ESG policies/standards/regulations
• Every decision explained to human quality
• Cutting edge Neural Networks and Natural Language Processing
• Leverages petabytes of ESG data
• Robust, peer-reviewed, cloud & on-premise ESG compliant AI models
• Complex models for human-level reasoning combining multiple machine learning techniques
• Model management with business and ESG subject expertise, not coding
• Continuous learning to improve decision-making model performance
• End-to-end model transparency with simulation and monitoring
• Proprietary ESG AI Engine leverages NLP to identify companies and extract ‘ESG relevant’ signals
• Quantifies ESG Information from unstructured data
• Aggregates data from 100,000+ sources
• Specializes in entity detection, industry specific signal identification, and sentiment scoring
• Generates over 300,000 signals monthly
• Generates 26 Explainable ESG Metrics
• Connects data from different sources in multiple formats and languages
• Leverages structured and unstructured data
• Advanced linguistics for ESG data aggregation from native sources
• Entity resolution to recognize entities and relationships
• Scalable enterprise architecture supporting cloud (Kubernetes) and on-premise (Nomad Scheduler) deployments
• World's first ESG LLM (Large Language Models)
• Rich library of risk factors, regulations, and recommendations

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.