Origin
AI-Native ESG Engine

AI-native intelligence for enterprise ESG compliance.

Origin AI automates the heavy lifting of raw document extraction while strictly enforcing Maker/Checker controls. Eliminate manual data entry without sacrificing audit defensibility.

Origin AI Engine

Intelligent extraction & confidence scoring

1. Raw Document

Utility bills, fuel receipts, safety logs

1Context Identification99%
2ESG Framework Matching94%
3Data Point Extraction97%
2. Origin AI Processing

Context mapping & data extraction

Suggested Entry

Purchased Electricity

Ready for review
Quantity24,500 kWh
PeriodMarch 2026
FacilityDubai Manufacturing
3. Human-in-the-Loop

Auditable Maker/Checker review

Workspace Assistant

Query your ledger with natural language.

Stop hunting for data points in complex dashboards. The Origin AI Workspace Assistant lets you instantly query facility performance, forecast trends, and surface anomalies directly from the ledger.

  • Forecast future emissions based on historical trends
  • Identify facilities with the highest resource consumption
  • Surface unresolved health and safety issues instantly
  • Draft board-ready ESG briefs from raw data
Origin AI

Origin AI

Workspace assistant

ESG performance· Selected facility

Suggested actions

2026 waste at Pezu Plant?Scope 1 change, 2025–26?Which facility used most water?Show open safety issuesForecast 2027 Scope 1Draft an ESG board brief
I can help you understand this page, review blockers, and draft notes for ESG tasks.
Forecast 2027 Scope 1
Based on the five-year trend, 2027 Scope 1 emissions are projected at 189,600–197,400 tCO2e. Meeting the reduction pathway requires approximately 8,900 tCO2e in additional abatement.
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Engine Capabilities

Intelligence built for enterprise audit.

Unlike standard OCR, Origin AI understands the context of ESG data and formats it specifically for compliance ledgers.

Context Identification

Computer vision and LLM parsing recognize document types (utility bills, weighbridge slips, safety logs) and map them to appropriate ESG categories.

ESG Framework Matching

Extracted physical variables are automatically tagged against GRI, IFRS S1/S2, CSRD, and SECP requirement lines.

Precision Confidence Scoring

Every data point receives a precision score, flagging low-confidence extractions for immediate human review.

Maker/Checker Enforcement

AI prepares the data, but strict dual-control human sign-off is required before any record commits to the immutable ledger.

Next step

Move from scattered ESG spreadsheets to audit-ready compliance infrastructure.

Designed for CFOs, Sustainability Managers, and ESG consultants preparing for mandatory disclosure. Trace ESG data from facility input to final disclosure.