• AI-powered All Source Ingestion: Integrates and contextualizes data from SCADA, GIS, Maximo, ACER, flow meters, surveys, manual logs, and remote sources like satellites, UAVs, and ground sensors—at a higher frequency and granularity than other market solutions.
• Contextual Carbon Insights: Transform data using AI, machine learning, blockchain, and other advanced technologies to deliver context that strengthens data transparency and allows users to capture emissions quantification and intelligence throughout its lifecycle.
• Enterprise-Scale Product Carbon Footprint Tracking: DaaS allows operators to assign emissions to specific assets across their operations and allocate precise emissions intensities at the shipment level. This approach enables companies to achieve top-line growth with differentiated, verified carbon products across their supply chain.
• Prove Net Zero: Quantifies and proves Scope 1, 2, and 3 emissions across the full value chain, providing the strongest proof of carbon claims, exceeding factor-based models and estimates.
• Reduced OpEx via Compliance Automation: We make advanced reporting and certification requirements actionable by transforming complex, fragmented data into usable, regulator-ready outputs. Reduce labor, rework, and compliance risks.

Challenge: Energy companies face mounting pressure to accurately quantify and report emissions — yet most struggle with fragmented data, legacy systems, and limited analytics. Traditional gas certifiers are not true technology platforms: they rely on self-reported data and generic emission factors, offering little in the way of real-time visibility or operational insight. Without access to verified emissions data at the unit-of-production level, operators are unable to confidently differentiate their products based on carbon intensity — leaving commercial value on the table.

Solution: Context Labs provides a scalable, ontology-driven platform that transforms raw emissions data into real-time, equipment-level carbon intelligence. Built on our proprietary Asset Grade Data (AGD™) standard, the platform delivers fully traceable, auditable, and regulator-ready insights — empowering energy companies to meet the most stringent reporting requirements, unlock product differentiation, and drive measurable decarbonization.

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Challenge: As climate disclosure requirements rapidly evolve, energy companies face increasing complexity in meeting both mandatory and voluntary reporting standards — from OGMP 2.0 and CSRD to EPA GHGRP, EU Methane Regulation, and beyond. Manual data collection, siloed systems, and inconsistent reporting methods lead to costly rework, audit risk, and regulatory exposure. At the same time, the lack of a unified data infrastructure limits scalability and slows down time-to-report — putting operators at a disadvantage in carbon-critical markets.

Solution: Context Labs automates the full compliance and reporting lifecycle through a unified platform built for emissions traceability and regulatory alignment. By integrating operational, sensor, and measurement data into a single source of truth — backed by Asset Grade Data (AGD™) — our solution enables real-time, audit-ready reporting across frameworks. This allows companies to reduce reporting costs, mitigate regulatory risk, and deliver defensible disclosures that meet the highest global standards.

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See how DaaS empowers you to prove performance, strengthen market position, and stay ahead of regulations—all with the enterprise-grade security and scalability of Microsoft Azure.

Request a demo today and unlock the power of trusted carbon intelligence.

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