Wind turbines

AI-Powered ESG Reporting Platform

Automated ESG Reporting
for High-Impact
Manufacturing

Truvexis transforms weeks of manual ESG compliance into a fully automated pipeline — from raw facility data to audit-ready reports in under two hours.

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About Truvexis

\ ˈtruː-vek-sis \

The Name Reflects
Our Mission

Truvexis combines true — grounded in verifiable data — and nexis — the connecting thread between source and disclosure.

Manufacturing companies spend 5–6 weeks and ₹5,00,000 every year producing ESG reports that often can't be traced. Truvexis solves both problems at once.
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Solar panels
Technology

The Technology

A Purpose-Built
AI Pipeline

We built a 7-stage AI pipeline specifically for manufacturing ESG compliance — handling inconsistent formats, mapping to BRSR and GRI standards, validating against benchmarks, and generating fully cited narratives automatically.

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Platform Performance

Intelligent Systems

Groq LLM inference for speed, Qdrant vector search for grounded narratives, W3C PROV-DM for complete data lineage — fast, accurate, fully auditable.

Truvexis Platform
FrameworksBRSR · GRI · CSRD
Pipeline TimeUnder 2 hours
Matching Accuracy91% auto-approved
Normalization Rate98% success
Validation Detection87% detection
Citation Traceability100%
Audit StandardW3C PROV-DM

What We Automate

End-to-End ESG Coverage

01
Data Ingestion

Excel, CSV, PDF from any facility. Merged cells, mixed units, multi-sheet workbooks handled automatically.

02
AI Matching

Rule + LLM hybrid at 91% auto-approval. 50+ unit conversions across energy, emissions, water, waste.

03
RAG Narratives

Every sentence grounded in your actual data. 100% citation traceability — zero hallucination.

04
Multi-Framework Export

BRSR, GRI 2021, CSRD simultaneously. DOCX, Excel, PDF with W3C PROV audit trail.

The Pipeline

Your Data's Journey
to Compliance

Seven automated stages. Scroll through the path your data takes.

01
Step 01
Ingest

Upload Excel, CSV, or PDF from any facility. Handles merged cells, inconsistent headers, and multi-sheet workbooks — zero manual prep required.

02
Step 02
Match

Hybrid rule + LLM matching maps your headers to standard ESG indicators. 91% auto-approval rate. Ambiguous items flagged with AI reasoning.

03
Step 03
Normalize

50+ conversion factors. kWh → MWh, kg CO₂ → tonnes CO₂e. Every conversion source documented for full audit compliance.

04
Step 04
Validate

Industry-specific rules: cement 800–1,100 kg CO₂/tonne, steel BF-BOF 1,800–2,500. Z-score outlier detection at 87% accuracy.

05
Step 05
Generate

RAG narratives grounded in your actual validated data via Qdrant vector search. 100% citation traceability — zero hallucination guaranteed.

06
Step 06
Review

Human-in-the-loop dashboard surfaces low-confidence matches and flagged items. Approve, correct, or override with full audit logging.

07
Step 07
Export

BRSR Core, GRI Universal 2021, and CSRD simultaneously. Download DOCX, Excel, or PDF — with W3C PROV audit trail embedded.

99.98%
Time Reduction

From 240 hours of manual work to 63 seconds of automated pipeline processing.

3
Frameworks at Once

BRSR, GRI, and CSRD — one upload, three compliant outputs.

₹5L
Saved Annually

Eliminate consultant fees, staff overtime, and rework costs entirely.

Industries Served

Built for High-Impact
Manufacturing

Sector-specific validation rules, benchmark ranges, and indicator mappings for the industries with the most complex ESG requirements.

Cement
Cement
Automated ESG for Cement Manufacturing

Scope 1 intensity (800–1,100 kg CO₂/tonne clinker), energy normalization, BRSR Principle 6 narratives.

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Steel
Steel
Precision Reporting for BF-BOF and EAF Steel

Route-specific validation benchmarked against GRI 305 and BRSR industry averages.

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Automotive
Automotive
Vehicle-Level ESG Metrics, Automated

Per-vehicle emission and energy intensity mapped to CSRD for automotive OEMs.

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Chemical
Chemical
Multi-Site Chemical Plant Reporting

Consolidated GRI 302, 303, 305, 306 disclosures across multiple facilities.

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Wind farm

Reporting as a Service

We Process the Data.
You Sign the Report.

Upload raw facility data. Receive complete, audit-ready ESG disclosures. No consultants. No manual aggregation. No rework cycles.

Every number traces back to its source through W3C PROV-DM graphs — exportable for independent verification.

From 6 Weeks to
Under 2 Hours.

Built as a CSUF thesis on AI-driven ESG automation for high-impact manufacturing.