Our Technology
Technology Built for Trust.
Artificial Intelligence: A Tool, Not a Decision-Maker
AI functions as an intelligence layer that supports the Context Core, but never as the decision-maker. The process is clear: AI handles data interpretation, fine-tuning, and contextual research. The Context Core performs all compliance calculations and enforces validation against regulatory frameworks and peer-reviewed datasets.
Accuracy: Guaranteed, Not Assumed
Accuracy is a function of our Context Core, which is built on over 480,000 rules. This rules-based reporting engine enforces validation against a full range of accepted sources—from regulatory frameworks to peer-reviewed datasets and enterprise records. The result is sustainability data with 95 to 99.7 percent accuracy across Scope 1, 2, and 3.
Transparency: The Full Audit Trail
Transparency is non-negotiable. Every figure is linked to its source, the rule applied, and the calculation performed, providing a complete and traceable audit trail. Because AI only handles data and never obscures the logic, our reporting is fully explainable to auditors and regulators.
Trust: The Final Outcome
Trust is the outcome of repeatable accuracy and clear governance. By uniting deterministic rule logic with AI intelligence, we eliminate the hallucinations and hidden assumptions that plague other platforms. This empowers you to adopt AI at scale with the confidence that every result is verifiable and compliant.
How We Use AI
AI as Intelligence, Not Authority
The Context Core serves as the deterministic precision layer, while AI functions exclusively as its supporting intelligence layer. This crucial relationship ensures we combine AI's fluency with verifiable outputs, eliminating black-box assumptions without making AI the final authority for compliance.
How We Use AI
Data Interpretation and Fine-Tuning
AI’s core function is handling complexity at scale, which we govern using our advanced Two-Pass System to eliminate LLM hallucinations. Pass 1 begins with the Context Core refining the user query via Intelligent Prompting, ensuring AI successfully interprets nuance and performs deep contextual research. Pass 2 then routes the resulting output back for factual validation against approved sources of truth, guaranteeing every piece of data is verifiable.
How We Use AI
Validation and Logic Oversight
At every step, the Context Core validates AI-interpreted data, a function enforced by our Rule Engine, which contains over 480,000 codified rules. This rigorous system ensures more than just compliance; it achieves sustainability data with a proven 95 to 99.7 percent accuracy, effectively reducing hallucinations while delivering both efficiency and sustainability.
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