Research & Governance
Advancing the standard for epistemic integrity in retrieval-augmented generation. We develop frameworks that move commercial AI from probabilistic guessing to Auditable Strategic Intelligence for charity professionals.
Operationalising Epistemic Integrity in Constrained Generation
A deep-dive into the Dynamic Epistemic Wrapper architecture. This paper details how we secure Grounded Intelligence to a benchmarked 92.0% accuracy—a 23.2% improvement over leading base-model performance.
⚠️ Accuracy Definition: This 92.0% benchmark quantifies the grounding of factual data (Grounded Intelligence). It is distinct from the creative, non-parametric elements of our reports (Generative Strategy), which leverage expert human nuance rather than raw data retrieval.
By neutralizing the guessing incentive inherent in standard LLMs, our proprietary architecture provides the Technical Floor required for institutional safety. This allows our Human Operatives to focus expertise on the Generative Strategy and nuance that transcend automated retrieval, ensuring a complete Compliance Shield for your partnership data.
Operational Applications
The frameworks detailed in our research are operationalised within our core briefings to ensure Auditable Accuracy and reputational safety for UK charity partners.
Intelligence Note: Scope & Limitations
1. Alignment vs. Guarantee: The identification of a corporate prospect represents an alignment of strategic interest based on public data. It does not constitute a guarantee of funding, partnership, or access.
2. Accuracy Definition: As detailed in WP-01, our 92.0% accuracy benchmark applies strictly to Grounded Intelligence Retrieval (factual verification). It does not apply to Generative Strategy outputs, which are subjective and provided for human decision-support.
3. Financial Currency: Financial data presented are historical snapshots from Companies House and do not constitute real-time credit ratings. Independent due diligence is required.