FactTrace AI
An AI engine that grades the integrity of every sustainability report: it scores each claim against its disclosed evidence, flagging greenwashing, data gaps, and unsupported statements before they reach your risk models.
Pre-emptive Risk Defense
FactTrace AI reads a company's sustainability report and grades every claim on whether real evidence backs it, flagging greenwashing, promotional language and data gaps in minutes, not analyst-days. It scores each claim against the evidence disclosed in the report itself: the measured numbers, source references and third-party assurance that should support the statement. FactTrace measures the integrity of the disclosure (how well each claim is evidenced), not a company's underlying ESG performance.
Precision Due Diligence
Triage sustainability reports (SRs) by integrity before integrating their data into your risk models, allocations, or compliance reporting. Surface data gaps and undisclosed evidence chains in minutes, not analyst-days.
Risk Radar before disclosure
Screen your own sustainability report before you publish. FactTrace surfaces unsupported claims, data gaps, and greenwashing risk while there is still time to fix them, so what you disclose can withstand scrutiny.
From report to action, in five steps
Simply upload a sustainability report, and our specialized 5-layer AI model processes it in about 15 minutes to deliver gap analysis, critical missing data, improvement feedback, and regulatory alignment. Drive immediate action via in-app mailing for direct entity engagement, while tracking aggregate portfolio scores, regional breakdowns, and benchmark comparisons on an intuitive dashboard.
Academic-Grade Logic, Multi-Layered AI
A proprietary architecture that strips subjective bias from ESG analysis through mathematical, evidence-anchored grounding. Every output defensible, reproducible, and audit-ready.
AI-native ranking framework scoring every ESG data frame across three pillars — Regulatory Relevance, Operational Impact, Data Integrity — and twelve underlying metrics. A fragmented regulatory landscape collapsed into a prioritized, decision-ready intelligence layer.
Every scoring choice and LLM design decision is cross-referenced against peer-reviewed literature on ESG measurement and language-model evaluation. Methodology grounded in academic consensus, not vendor opinion.
A patented multi-pass review that boosts accuracy and suppresses hallucinations. Gap Analysis surfaces logical disconnects between narrative and data; Claim Analysis verifies every qualitative claim against the quantitative evidence disclosed in the report.
Built to diverge from legacy raters, on purpose
Legacy ESG raters blend measured data with reputation and intent. FactTrace credits a claim only when disclosed evidence backs it, so wherever a rating leans on reputation, FactTrace is designed to diverge. Directionally, that plays out differently across the three pillars:
Environmental scores rest on measurable data (emissions, energy, infrastructure), so evidence-based scoring and legacy ratings tend to land in the same place.
Social policies often exist on paper without the data to show they work. FactTrace flags that evidence gap where a reputation-weighted rating may not.
Legacy ratings reward governance reputation and trend; FactTrace credits only concrete disclosed evidence, so it surfaces weak backing others pass (e.g., a missing Board Skills Matrix).
Illustrative: directional positioning of where evidence-based scoring diverges from reputation-weighted ratings, not a benchmarked correlation study.
Qualitative & Quantitative Benefits
Decision Confidence
Identifies true ESG alphas and hidden risks through evidence-based due diligence. Defensible to investment committees, regulators, and LPs.
Risk Pricing Accuracy
Improves investment precision by surfacing data gaps and producing objective risk scores. Reduces SR review cycle from days to minutes.
Every claim, graded on its evidence
FactTrace AI scores each claim on six signals (three that build evidence, three that erode it), anchored to a neutral baseline. A flawless, fully-evidenced disclosure reaches the top of the scale; pure boilerplate sits near the floor. Each flagged claim also carries a plain-language verdict tag (e.g. All-Promise, Name-Drop, Cherry-Picked, Black-Box), pinpointing how the evidence falls short. These roll up into a credibility grade per claim and an aggregate document score (the ESG-readiness overview shown earlier).
Illustrative. Tier labels shown are descriptive; final tier naming is being finalized with the i-ESG team.
Transform your ESG due diligence from days to minutes. Pre-emptively defend your portfolio against greenwashing with FactTrace AI's audit-grade integrity scoring.
Tier 1 FI partners receive promotional free credits. Run FactTrace AI on a sustainability report from your portfolio this week. No commitment, full output (API + portal + branded report).
Born as a Fortune 500 in-house venture · certified B-Corp · ISO 9001 / 27001 · 15+ AI / Data Technology Patents · 20 Million+ ESG Benchmark Data · UNGC Member & Network Solution Partner · WEF Global Innovator · AI Award Winner · ADB Challenge Winner