Your work could help answer critical questions — about disease, misinformation, economic resilience, and climate risk. But if the data or models behind it can’t be used safely, they remain siloed. And often, rightfully so — due to real IP, legal, and privacy concerns.
But that also means breakthroughs never happen. Insights are missed. AI systems communicate what’s available — not what matters most.
Using PETs and attribution-based control, NSAI enables secure, privacy-preserving inference directly on remote data and models — with no handoffs, no copies.
Your data is protected, your terms enforced, and every use is tracked, credited, and compensated.
Your data and models stay in place, protected by PETs like differential privacy and TEEs — full privacy without handoffs or copies.
Decide who to access your data or model: peers, academic institutions, or a single verified partner at a time.
Built to meet GDPR, HIPAA. Data stays in its jurisdiction, with you in control.
Creditation and compensation reward data providers, enabling sustainable, long-term collaboration.
Your AI will use trusted, attributed, and reproducible data, enabling trustworthy AI in sensitive domains.
Connect and build partnerships across legal and geographic borders for high quality answers.
For decades, access to sensitive data has blocked scientific and societal progress. Today, with mature PETs and attribution-based infrastructure, we finally have a way to solve this problem.
Data stays siloed. Research slows. Yet, for a good reason: risks outweighed reward, from privacy, legal, IP and ethical concerns.
Researchers were limited to public data — missing critical insights and slowing discovery. Now, the public faces a similar crisis: AI systems increasingly shape what people see, decide, and believe. However, when they’re wrong, no one knows it.
The data that could produce better answers already exists, sitting on researchers’ and institutions’ machines.
Now: With PETs and attribution-based access matured, we can unlock those critical datasets.
This isn’t just more data — it’s orders of magnitudes more better data. Real-world, permissioned sources that were never shareable before can now inform AI.
The result? More accurate, state-of-the-art models, faster scientific discovery, and an economic model that rewards institutions which produced this invaluable data.
We’re partnering with select institutions and companies to pilot secure access infrastructure. If you’re working with sensitive or high-value data — we’d love to hear from you.