Vessel Audit is live
ESG data automation platform for audit-ready reporting.
Vessel Audit transforms environmental documents into structured ESG data with full audit evidence, deterministic metrics, and traceable provenance.
Built for compliance platforms, sustainability teams, and regulated enterprises
Audit-ready data automation
Supported documents
JSON
Example output{
"document_type": "electricity_invoice",
"activity_data": {
"facility": "Plant A",
"reporting_period": "2026-01",
"kwh": 18240
},
"metrics": {
"scope_2_emissions_kgco2e": 12893.44,
"method": "deterministic"
},
"audit_evidence": ["page_2#line_18"],
"provenance_graph": "included"
}What is ESG data automation?
ESG data automation turns fragmented records into usable reporting data.
ESG data automation refers to the process of collecting, extracting, validating, and structuring environmental, social, and governance data from operational sources such as invoices, logs, manifests, and reports.
Vessel Audit automates this process by ingesting raw environmental documents and converting them into audit-ready ESG datasets with full traceability. That makes it a strong fit for teams evaluating ESG automation tools, ESG reporting software, ESG data ingestion systems, and sustainability data platforms.
The Problem
ESG data is fragmented, manual, and hard to audit.
Most ESG data is not stored in clean operational systems. It exists across utility bills, fuel receipts, waste manifests, refrigerant logs, and other source documents spread across suppliers, facilities, and reporting teams.
Manual data entry into ESG tools slows reporting cycles and introduces avoidable errors.
Document formats vary across vendors, facilities, and geographies, making ESG data management inconsistent.
Many teams lack the audit evidence and lineage required for assurance and review.
CSRD and other regulatory pressures raise the cost of weak sustainability reporting automation.
The Product
Automate ESG data from source documents.
Vessel Audit ingests environmental documents and returns structured ESG activity data, computed metrics, and full audit artifacts through a simple API-first workflow.
ESG document ingestion
Ingest electricity invoices, gas invoices, fuel receipts, waste manifests, water bills, and refrigerant logs through file upload, batch intake, or storage-connected workflows.
Structured ESG data extraction
Extract activity data, supplier and facility context, usage values, and reporting periods into a consistent schema designed for sustainability reporting automation.
Deterministic emissions calculation
Compute Scope 1 and Scope 2 metrics through reproducible logic so carbon accounting data can be reviewed, defended, and rerun without black-box behavior.
Audit evidence and provenance
Return field-level evidence, provenance graphs, source mapping, and lineage artifacts so downstream ESG reporting software can support assurance workflows.
How It Works
From source document to structured output.
Upload ESG documents through API calls, batch intake, or storage-connected workflows.
Extract environmental activity data, supplier details, and reporting periods.
Compute deterministic emissions and related metrics where applicable.
Attach audit evidence, provenance, and field-level lineage.
Export a structured ESG dataset for reporting, compliance, or downstream systems.
Use Cases
Built for reporting and compliance workflows.
ESG reporting automation
Automate the collection and structuring of environmental evidence for sustainability reports, disclosures, and recurring reporting cycles.
CSRD compliance pipelines
Build auditable ESG data management workflows aligned to regulated reporting processes, internal controls, and evidence-backed review.
Carbon accounting systems
Feed clean activity records and carbon accounting data into emissions models while preserving lineage back to source documentation.
ESG software platforms
Embed audit-ready ESG data ingestion into your product without building an extraction, validation, and evidence stack from scratch.
Why Vessel Audit
Automation without sacrificing auditability.
Vessel Audit is positioned as the infrastructure layer behind reporting software, sustainability data platforms, and evidence-heavy compliance systems.
FAQ
Questions teams ask when evaluating data automation tools.
What is ESG data automation?
ESG data automation is the process of collecting, extracting, validating, and structuring environmental, social, and governance data from operational records such as invoices, logs, manifests, and reports. Vessel Audit focuses on the environmental evidence layer and turns those records into audit-ready outputs.
Is Vessel Audit an ESG dashboard or reporting tool?
No. Vessel Audit is API-first ESG automation infrastructure. It is designed to sit behind compliance platforms, sustainability data systems, and enterprise reporting workflows rather than replace them with a dashboard-first product.
How is Vessel Audit different from generic OCR or AI extraction tools?
Vessel Audit combines schema-based extraction, deterministic metric logic, and audit artifacts such as evidence, lineage, and provenance. The goal is not just extraction accuracy, but defensible ESG data management for regulated workflows.
What kinds of ESG documents can Vessel Audit process?
Vessel Audit supports electricity invoices, gas invoices, fuel receipts, refrigerant logs, waste manifests, and water bills. The page and route are structured so future Vessel products can follow the same product-page system as support expands.
Enterprise Readiness
Built for compliance systems and regulated environments.
Built for regulated environments and evidence-heavy review processes
Versioned schemas and contract-shaped outputs for downstream integrations
Reproducible metrics and traceable provenance for audit workflows
API-first integration for compliance platforms and software vendors
Support for sync, async, batch, and webhook-driven processing models
Evidence-backed outputs designed for assurance and enterprise controls
Final CTA
Build ESG data pipelines that pass audits.
Use Vessel Audit to automate ESG data ingestion, structure environmental activity data, and return evidence-backed outputs for reporting, carbon accounting, and compliance workflows.