Turn Private Data Into Agent Revenue
The retrieval, pricing, trust, and audit layer that makes proprietary business data safely usable by autonomous AI systems. Data owners earn when agents retrieve.
Retrieval · Pricing · Trust · Audit
of CEOs say proprietary data is key to AI value
IBM 2025
of executives say AI agents are already adopted
PwC 2025
of enterprise apps will have AI agents by 2026
Gartner 2025
projected agentic AI revenue by 2035
Gartner 2025
The Problem
Agents can't access the data that matters
87% of enterprise data is private and unused by AI. The most valuable information for agents — proprietary research, internal operations, domain-specific knowledge — remains locked behind organizational walls.
Private data is siloed
Enterprise knowledge lives in disconnected systems — PDFs, databases, internal tools. IBM found 50% of executives say rapid AI investment has left them with disconnected technology.
Agents hallucinate without grounding
Without access to verified private data, AI agents fabricate answers. The trust deficit grows with every wrong retrieval — and enterprises cannot tolerate it.
No monetization path
Organizations sit on valuable proprietary data but have no way to safely let agents access and pay for it. The value is locked.
How It Works
From private data to agent revenue
Three steps. Upload once. Earn continuously.
Upload
Businesses upload private multimodal data — documents, images, structured datasets, internal knowledge bases. Object-storage-native, cost-efficient ingestion.
Structure
ipto converts raw data into agent-consumable retrieval units — enriched with entities, facts, dates, obligations, confidence scores, and provenance metadata.
Monetize
AI agents retrieve, cite, and act on the data. Every retrieval is metered, priced, and audited. Data owners earn revenue. Agents get grounded, trusted context.
Use Cases
Where private data drives agent value
The strongest verticals are where proprietary data has obvious business value, provenance matters, and agents can create measurable outcomes.
Financial Services
Compliance monitoring, risk assessment, and market intelligence — powered by private financial data that agents can retrieve with full provenance.
Legal & Compliance
Contract analysis, regulatory monitoring, and case law retrieval — structured for agents that need citation-grade accuracy.
Healthcare
Clinical documentation, care coordination, and administrative workflows — with HIPAA-grade access controls built into every retrieval.
Enterprise Knowledge
Internal research, operational runbooks, and procurement data — making institutional knowledge agent-consumable across the organization.
Trust Layer
Every retrieval is audited, priced, and provenance-tracked
The more autonomous the agent, the more enterprises care about access control, observability, and auditability. That's why trust is built into every layer.
Cryptographic Provenance
Every retrieval unit traces back to its source with verifiable attribution.
Usage-Based Pricing
Pay-per-retrieval economics. Data owners set terms. Agents pay for what they use.
Granular Access Control
Tenant, user, and agent-level permissions. Least-privilege access by default.
Real-Time Audit Trail
Every retrieval, citation, and action is logged, reportable, and explainable.
Structured Outputs
Facts, entities, dates, amounts, obligations — not just text chunks.
Multimodal Support
Documents, images, tables, structured data — all converted to agent-ready format.
Get Started
The missing infrastructure layer for the agent economy
Whether you're a data owner looking to monetize, or an agent builder seeking reliable private context — we're building the layer that connects both sides.