Like a self-driving car for ESG data sourcing.

ESG data is disclosed in unstructured, non-standardised formats — PDFs, webpages, scanned documents. Manual collection still dominates. It’s slow, costly and wrong.

Our AI pipeline completely redefines this. Accurate, unbiased, source-verified ESG data — on any company, anywhere, in under 15 minutes.

3 inputs only — identifier, country, year

Any company · any country · any language

Data collection often takes less than 5 minutes

Raw, traceable data — no scores, no proxies, no bias

Traditional manual collection vs Cleartraced

Traditional

Manual. Slow. Error-prone.

3–5 days per company
4–9% error rate in manual transcription
No source traceability · dead links
12–24 months of data lag
Coverage capped by headcount
Cleartraced

AI-powered. Fast. Verified.

Under 15 minutes per company
98.5% accuracy + human sign-off
Every datapoint links to source
24–48h after new disclosure
30,000+ companies — any language

Six steps from raw PDF to audit-ready datapoint

00

Input

Just 3 inputs. That’s all we need.

Tell us which company you want data on, which country it operates in, and which reporting year. From there, everything is automated.

Company identifier

Volvo Cars AB

or LEI · ISIN · Ticker

Country

Sweden

Any jurisdiction globally

Reporting year

2025

Historical data available

Pipeline starts — results in under 15 minutes

01

Source Official Documents

Our system locates and downloads official annual reports, sustainability reports and regulatory filings — and also scrapes each company’s full website for additional official documents such as Human Rights Policies, Codes of Conduct and other ESG-relevant disclosures.

Annual ReportsSustainability ReportsFilingsHR PoliciesCode of Conduct

Found: Volvo_Annual_Report_2023.pdf

Found: Ericsson_SR_2023.pdf

Found: Sandvik_Sustainability_2023.pdf

02

Process Reports

Advanced OCR and parsing converts PDFs, scans, tables and charts into structured, machine-readable text — including complex layouts and multi-language documents.

OCRParsingTables

PDF → structured text + table data

03

Extract & Structure

Schema-locked LLM prompts perform semantic search and context-aware extraction. Datapoints are captured with high precision, harmonised to standard units and structured for analysis.

LLMSemanticSchema
scope_1_ghg428,000 tCO₂e
energy_total1,240 GWh
water_withdrawal3,820 m³
04

Standardise

All extracted data is normalised into common taxonomies and regulatory frameworks before storage — CSRD, EBA, SFDR, GRI, TCFD — enabling consistent cross-company comparison.

CSRDEBASFDRGRI

GHG_scope1 → ESRS E1-6 · EBA P1

energy_total → ESRS E1-5 · GRI 302

board_gender → ESRS G1 · GRI 405

05

Human-in-the-loop

5-Layer Scoring + Expert Review

A rule-based scoring system evaluates every datapoint across 5 layers. Anomalies are automatically flagged for expert human review — combining AI speed with specialist judgement. This is where our 98.5% accuracy is earned.

Quality Score

Statistical range check

YoY consistency

Unit verification

Source-match confidence

LLM cross-validation

Flagged for expert review → resolved ✓
06

Store & Deliver

Validated data is stored securely and delivered in real time — via platform, API or file. Every datapoint is linked to its original source and re-verified against the source PDF before delivery.

PlatformFileAPI
scope_1_ghg · Volvo Cars · 2023p.48 ↗

Source re-verified · Ready for delivery

Do you want a more comprehensive breakdown? Check our FAQ or compare us to alternatives.

What our technology enables that humans simply cannot.

15 min
per company — automated
3–5 days
manual analyst time

Our pipeline processes a company’s full annual report from scratch in under 15 minutes. A human analyst needs days — and can only work one report at a time.

30,000+
companies in scope — any language
hundreds
limited by headcount

Coverage is not constrained by analyst headcount. Our AI scales to any company, in any country, in any language — simultaneously.

24–48h
update time after new disclosure
18 months
typical legacy vendor lag

When a company publishes a new report, our system detects it and updates automatically — no analyst queue, no delay.

€0.50
per datapoint · per company · per year
€5–15+
legacy vendor pricing

Because automation eliminates the expensive manual layer, we can deliver enterprise-grade data at a fraction of the cost — with higher accuracy and broader coverage.

FAQ

Common questions about our technology

How does Cleartraced find and access sustainability reports?+
Our pipeline automatically discovers and retrieves annual reports, sustainability disclosures, and regulatory filings from company IR pages, stock exchange databases, and regulatory repositories — across any language and jurisdiction. No manual sourcing is required.
What AI models power the extraction?+
We use large language models from Anthropic (Claude) combined with custom-trained classification and normalisation layers. The models are continuously evaluated against a ground-truth dataset curated by our in-house ESG analysts.
How is data accuracy verified before delivery?+
Every extracted datapoint passes through a six-stage validation pipeline: document parsing, AI extraction, cross-field consistency checks, unit and boundary validation, statistical outlier detection, and a final human sign-off for low-confidence values. Each datapoint ships with its source citation and confidence score.
Can the pipeline handle non-English reports?+
Yes. Our models are trained on reports across 30+ languages including Mandarin, Japanese, German, French, Spanish, and Nordic languages. All output is standardised to English with consistent units regardless of source language.
How quickly is data updated after a company publishes a new report?+
Our monitoring system detects new disclosures within hours of publication. Extraction and validation typically completes within 24–48 hours, compared to weeks or months with manual workflows.

Built with cutting-edge technology






Want to see it in action?

Book a demo and we’ll run a live extraction on a company from your portfolio — in under 15 minutes.