Next-Gen AI Intelligence

AI-Enabled
Expert-Governed

AI is transforming how sustainability and regulatory requirements are operationalized not just how data is processed.

At SustainoMetric, we go beyond using AI for data collection. We are developing AI agents that support end-to-end sustainability and regulatory workflows across investments, portfolios, and supply chains.

Talk to our team Explore Services

AI-Enabled, Expert-Governed

AI is transforming how sustainability and regulatory requirements are operationalized — not just how data is processed.

At SustainoMetric, we go beyond using AI for data collection. We are developing AI agents that support end-to-end sustainability and regulatory workflows across investments, portfolios, and supply chains.

search_insights

Due Diligence Agent

Automates extraction and structuring of company-level data for faster, consistent screening.

ESG due diligencecompany screeningdata structuring
arrow_circle_up

KPI Ingestion Agent

Standardizes ESG/sustainability KPIs across portfolio companies, issuers, and funds for comparability at scale.

KPI standardizationScope 1-3data ingestion
warning

Controversy Monitoring Agent

Tracks ESG-related incidents and issuer risks in real time to support proactive risk management.

real-time trackingrisk alertsincident monitoring
query_stats

Monitoring Agent

Tracks developments, disclosures, and sustainability signals across companies and sectors.

developmentsdisclosuressustainability signals
fact_check

Regulatory Reporting Agent

Supports structured, audit-ready outputs aligned with SFDR, EU Taxonomy, and global regulatory frameworks.

SFDREU Taxonomyaudit-ready
trending_up

Exit Readiness Scorer

Assesses ESG maturity against buyer expectations to support stronger exit positioning.

ESG maturitybuyer expectationsexit readiness
description

LP Report Generator

Produces investor-ready, audit-aligned sustainability reports for limited partners and stakeholders.

LP reportingaudit-alignedinvestor-ready
analytics

Portfolio Analytics Engine

Enables portfolio-level insights, exposure analysis, and sustainability benchmarking across holdings.

portfolio insightsexposure analysisbenchmarking
corporate_fare

Private Company Intelligence

Automates private company data extraction, customized questionnaires, and direct issuer engagement.

private marketsquestionnairesengagement
insights

Thematic Research Agent

Supports rapid, deep-dive analysis across sustainability themes, sectors, and global geographies.

thematic researchsector analysisgeography insights
query_stats

Credit Risk Intelligence Agent

Extracts and structures sustainability risk signals for borrower assessment and credit underwriting.

credit riskborrower screeningcounterparty risk
hub

Supplier Intelligence Agent

Collects and structures supplier-level sustainability data across global supply chain networks.

supply chainsupplier dataCSDDD due diligence
assignment_turned_in

CDP Agent

Auto generates responses to the CDP questionnaires through uploaded corporate documents and filings.

CDP reportingauto-responsesdisclosure filings
trending_up

Risk Signal Engine

Identifies high-risk suppliers, critical vulnerabilities, and emerging supply chain ESG issues.

risk signalssupplier risksemerging issues
dataset

Data Extraction Agent

Extracts ESG data and structured insights from company disclosures, annual reports, and public filings.

disclosuresannual reportsmulti-source extraction
schema

Data Structuring Tools

Standardizes large datasets across research frameworks, benchmarks, and policy outputs.

data structuringresearch datasetsbenchmarking
alt_route

Methodology Mapping Engine

Standardizes ESG/sustainability KPIs across custom frameworks and rating methodologies for comparability at scale.

methodology mappingframework alignmentcrosswalk
database

Sustaino Data Engine

SG Research platform combining AI data extraction, score generation, and company engagement module.

score generationAI extractionengagement module
scatter_plot

Impact Intelligence Platform

Centralized system to manage and analyze sustainability and impact data across portfolios and programs.

impact datathematic portfoliosimpact programs
hub

Sustainability Intelligence Platform

Centralized system to collect, manage, standardize, and analyze sustainability and impact data across portfolios.

centralized platformportfolio datastandardization

Our Approach

We combine

Layer 01

AI Agents at Scale

AI agents that support processes, methodologies, and reporting at scale with accuracy such as EU Taxonomy agent, SFDR agent, Controversy detection and monitoring agent and many more.

check_circle EU Taxonomy Agent
check_circle SFDR Agent
check_circle Controversy Detection & Monitoring Agent
check_circle 24/7 Monitoring
Layer 02

Expert-Led Validation & Interpretation

Expert-led validation and interpretation to ensure outputs are accurate, contextual, and aligned with regulatory expectations.

verified_user Human-in-the-loop QA
gavel Regulatory alignment checks
psychology Methodology interpretation
history_edu Defensible outputs

Why It Matters

This approach enables:

01

Scalable execution of regulatory requirements

02

Consistent and repeatable workflows across portfolios and supply chains

03

Faster identification of risks, gaps, and compliance issues

04

Decision-ready outputs with human oversight and accountability

Our Position
We do not treat AI as a standalone product or a black-box solution. We embed AI into real-world sustainability and regulatory workflows, ensuring that automation enhances, rather than replaces - expert judgment.

We are constantly building AI-enabled infrastructure for how sustainability and regulatory work gets done - at scale.

auto_awesome

Let’s explore what decision-grade sustainability intelligence looks like for your organization

A short diagnostic conversation to understand your regulatory requirements, data gaps, and sustainability priorities followed by a clear, scoped approach.

Step 1

Discovery

Understand your regulatory obligations, portfolio/supply chain exposure, and priorities

Step 2

Diagnostic

Identify gaps in data, workflows, and disclosure readiness

Step 3

Proposal

Defined scope, deliverables, and execution plan