AI for Sustainability Management
AI outputs in sustainability data must be transparent, traceable, and defensible. Teams need to know where information came from, how it was generated, and whether it can withstand scrutiny.
Every AI capability in Novata is being designed to produce faster, source-grounded, auditable outputs that teams can confidently use across portfolio monitoring, reporting, and stakeholder communications.
Collect & Prepare Sustainability Data
AI-Powered Data Ingestion
Novata AI reduces manual data entry and makes existing information available for reporting, analytics, and benchmarking.
Easily transform spreadsheets, documents, and other sustainability data sources into structured, validated data housed securely our platform.
Supplier Spend Data
Novata Carbon Navigator uses AI to automatically classify your highest-spend suppliers by industry, providing a suggested category with a confidence score that users can accept or override. For additional emissions activities, an AI Mapping Agent recommends the most appropriate region-specific emission factor, helping users move from raw activity data to calculated emissions faster.
Proxy Data
Novata AI derives insights from Novata’s private markets benchmark database to help you estimate emissions and fill portfolio data gaps when primary data isn’t available.
Document Intelligence
Novata AI makes it easy to transform your sustainability reports, policies, certifications, and other documentation into a queryable evidence base. Generate cited, source-grounded responses to due diligence questionnaires (DDQs), LP surveys, and other stakeholder requests using existing documentation.
Data Quality & Validation
Flag potential issues at the point of entry using Novata benchmarks, peer comparables, and expert rules assisted by Novata AI. Both GPs and portfolio companies see the same plain-language explanation so they can resolve issues before they reach submission.
Analyze Sustainability Performance & Risk
Regulatory Intelligence
Generate a tailored roadmap of applicable sustainability regulations and disclosure requirements based on your organization’s size, industry, geography, and structure. Novata AI helps you understand which regulations your organization is in scope for and why.
Risk Intelligence
Novata AI helps you track sustainability-related risks across portfolios and supply chains, including reputation, cyber, geopolitical, transition, and physical risks. Monitor real-time developments for performance, compliance, or stakeholder expectations.
Generate Outputs & Extend Workflows
Sustainability Reporting
Novata AI uses data collected in Novata to generate structured first drafts of reports and disclosures, with every claim traced to its source. Templates aligned to VSME, TCFD, GRI, and ESRS narrative disclosures help teams begin with a cited draft rather than a blank page.
MCP Integration
Integrate Novata with your existing technology environment using Model Context Protocol (MCP). Securely query, analyze, and act on sustainability data while maintaining a single source of truth.
Built on Governance, Not Just Technology
Responsible AI Use Policy
Novata is SOC II and ISO certified. Our Responsible AI Use Policy has been active since 2023, overseen by an AI Committee comprising our COO, CTO, and CLO. Every AI tool we use internally goes through structured intake—assessed for data classification, security controls, vendor terms, and legal compliance before approval.
Responsible AI Essentials Framework
Novata developed the Responsible AI Essentials framework to help organizations assess and strengthen AI governance, and we hold ourselves to the same standards we recommend to clients. The framework covers four domains—Policy & Accountability, Vendor Management, Operational Risk, and Stakeholder Communication—drawing on guidance from NIST AI RMF, OECD AI Principles, the EU AI Act, ILPA, and the World Economic Forum Responsible AI Playbook.
The Team Behind Novata AI
Novata AI is developed by a dedicated AI Data Products organization comprised of sustainability professionals, data scientists, regulatory specialists, and engineers. Building reliable AI for sustainability requires both technical expertise and deep domain knowledge—from understanding what good sustainability data looks like to designing systems that produce transparent, defensible outputs.
FAQ
Novata is SOC II and ISO certified, and our AI services are held to those same standards. Every AI tool undergoes structured intake, assessed for data classification, security controls, vendor terms, and legal compliance, before deployment. Our Responsible AI Use Policy has been active since 2023 and is overseen by a formal AI Committee.
Novata AI currently applies framework intelligence across TCFD and VSME, with coverage expanding as regulatory requirements evolve. Reporting outputs are generated from your existing platform data, with all claims traced back to their source.
Novata has built a dedicated LP reporting tool called Data Bridge designed to ingest questions from any spreadsheet or text format, break them down into components, and aggregate across your portfolio.
Launching Summer 2026, you’ll be able to seamlessly export the report with the exact specifications and formatting of the spreadsheet uploaded. Coupled with Vault, Novata’s document intelligence feature (launching Fall 2026), teams can now upload policies, sustainability reports, and certifications one time and generate and save responses to be used across a range of requests.
Yes. Novata’s MCP (Model Context Protocol) integration connects governed sustainability data from the Novata platform directly into Claude or internal AI environments. Teams can query portfolio data, check metric progress, and run framework gap analyses without leaving the tools they already work in.
For the upcoming reporting season (Winter 2026-2027), we’re introducing Scout, a Novata AI to flag potential issues at the point of entry. Scout draws on a company’s prior-year submissions, peer benchmarks from comparable companies on the platform, and expert rules from Novata’s Metrics & Regulations team. Both the submitting company and the receiving GP see the same explanation, enabling faster, more collaborative resolution.
Responsible AI Essentials is Novata’s framework for assessing a baseline responsible-AI maturity picture regardless of whether they invest, build, or deploy AI. It covers 20 metrics across four domains: Policy & Accountability, Vendor Management, Operational Risk, and Stakeholder Communication, and draws from NIST AI RMF, OECD AI Principles, the EU AI Act, ILPA guidance, and the WEF Responsible AI Playbook. It’s designed to be practical for early-stage practitioners and rigorous enough for LP-level due diligence. Novata maps its own AI governance against all 20 metrics.
See Novata AI in Action
Explore how AI is integrated across the Novata platform to support sustainability data collection, reporting, regulatory analysis, and risk monitoring.