Solutions
Enterprise AI is rarely blocked by model capability. It is blocked by whether legal, compliance, and risk can approve what the models see. Innerfy changes what they see.
Your site — raw zone
Records, contracts, policies stay on your infrastructure. Raw data never leaves it.
Elementization boundary
Elementization Studio runs at the boundary: raw records enter once, elements and a governance contract come out.
Safe downstream zone
Agents, retrieval, training, and external LLMs operate on elements only — every operation logged against the contract.
By sector
The same architecture clears different regulatory bars. What varies by sector is which review it shortens — and what you can measure afterwards.
The blocker
Model-risk governance, customer-information safeguards, and vendor control obligations slow every AI initiative.
With Innerfy
Internal models and agents operate on elementized customer records — raw fields never enter the model-facing stack.
Measured by
The blocker
HIPAA and institutional governance around ePHI make analytics and AI copilots slow to approve and hard to audit.
With Innerfy
Analytics and copilots operate on governed representations with auditable lineage — the ePHI model-touch surface shrinks.
Measured by
The blocker
FERPA sensitivity around grades, attendance, LMS events, and advising notes blocks student-success AI.
With Innerfy
Risk and success models operate on elementized student records rather than raw profiles.
Measured by
The same architecture extends to government, legal, pharma, and any enterprise whose data cannot sit inside the AI loop.
Evaluate it against your stack