Compliance Framework
At Sparks Intelligence, we build advanced agentic AI and data extraction pipelines designed for highly regulated environments. Our frameworks operate strictly within the guardrails of the NIST AI Risk Management Framework and the OECD AI Principles.
No Public AI Exposure
Total Data Isolation via Local LLMs
We utilize local, self-hosted Large Language Models (LLMs). Your proprietary financial records, client information, and internal data are processed entirely within a secure, isolated infrastructure. Your data is never transmitted to public AI APIs and is never used to train open-source or commercial models.
Bulletproof Checkpoints
Human-in-the-Loop Architecture
Once financial data is extracted by our local models, the workflow pauses. A human reviewer must verify and approve the extracted data before the system moves forward. Our AI agents synthesize data and draft reports, but the final decision always rests with a human officer.
Full Data Lineage
Compliant & Auditable 360° Due Diligence
We aggregate data exclusively from verified public APIs and authoritative corporate registries. Every piece of data used in a check is timestamped and mapped back to its original public source, ensuring all background checks are legally compliant and audit-ready.
Transparent Rationale
No Black Box Explanations
Financial compliance requires a clear rationale. When our local AI structures data or highlights an anomaly during corporate due diligence, it provides an accompanying explanation and source citation so your team always knows exactly why it was flagged.
