VaultNest is an enterprise-grade AI Studio and trust enforcement layer for building, deploying, and governing AI in regulated environments.
It enables compliant collaboration between regulated data entities—such as banks, healthcare organisations, and large consumer platforms—and third-party AI suppliers, without compromising data sovereignty, model IP, or auditability.
VaultNest allows organisations to work with whoever they need to, wherever they are, and on whatever protected data is required—within clearly defined governance boundaries.
What VaultNest Enables
AI adoption in regulated sectors often fails because governance and execution are treated as separate problems. VaultNest unifies them.
1. Governed AI collaboration
Teams can collaborate across organisations while enforcing strict controls over how data and models are accessed, used, and executed.
2. Independent control for data and model owners
A dual-key control architecture ensures that:
- Data owners retain authority over data usage
- Model owners retain protection over intellectual property
No single party can unilaterally bypass controls.
3. Auditability by default
Every action—from dataset access to model execution—is logged, traceable, and explainable, supporting internal audits and regulatory reviews.
Core Capabilities
- Secure AI Studio for working with regulated data
- Dual-key access control for data and model IP protection
- Tamper-resistant audit logs, consent records, and execution trails
- Escrow-based custody for sensitive AI artifacts
- Designed for DPDP, GDPR, PDPL, and enterprise compliance
- Supports on-prem, hybrid, and containerised environments
VaultNest is built for real operational AI, not isolated pilots or proofs of concept.
Architecture & IP
VaultNest is underpinned by Indian Patent #567234 —
Blockchain-Enhanced Data Asset Management and Distributed Computation Platform.
The patented architecture enforces trust at the infrastructure layer, allowing AI systems to scale without centralising risk or control.
In Practice
VaultNest acts as the foundational layer across the Ostrich AI ecosystem, enabling:
- Governed AI adoption within regulated enterprises
- Secure engagement with external AI suppliers and evaluators
- Integration with distributed compute via FlockChain
- Participation in controlled datathons via Data Borough