Chat with commercial LLMs over your most sensitive data — without ever exposing it. Encrypted before it leaves your environment. Never decrypted in the cloud. Only you see the data.
Your most valuable data — customers, transactions, contracts, patient records — is also your most restricted. Today, that data sits on the sidelines while AI transforms every other part of the business.
The hesitation is grounded in three real risks compliance, legal, and security teams can't ignore.
Sending sensitive data to public LLMs can breach GDPR, HIPAA, SOX, and a stack of internal policies. The fines, audits, and breach notifications outweigh any AI upside.
→ Audit failureYour pricing models, customer behavior, and trade secrets flow into systems you don't control. Many providers retain prompts. Some use them to train future models — your data, training your competitors' AI.
→ Competitive riskOnce data leaves your perimeter, you can't audit who saw it, prove it was deleted, or pull it back. Security and compliance teams have no choice but to block — and the most valuable AI use cases die in committee.
→ Compliance blockerThree risks. Three answers. One product that lets you use commercial LLMs on your most sensitive data — without ever exposing it.
Encryption happens client-side, before a single byte moves. Public LLMs never see plaintext. Your existing GDPR, HIPAA, and SOX posture stays intact.
Commercial LLMs operate directly on ciphertext. There's nothing for providers to log, retain, or train on — because there's nothing for them to see.
Enterprise controls let your security and compliance teams monitor every prompt, gate user access, and audit complete usage. Your private key never leaves your environment.
Watch Nera Secure Data Analyst in action — sensitive data stays encrypted end-to-end.
Drop in your sensitive Excel or CSV files, ask any question in plain English, and get a business-ready answer. Powered by commercial LLMs you already trust — used in a way you finally can.
Anyone on your team — finance, ops, leadership — runs the analysis themselves. The kind of questions you'd ask a senior analyst, answered in seconds.
Designed for the teams whose best questions have been gated by privacy, regulation, or contracts. Common use cases we hear every week.
Run AI-driven analysis on customer revenue, transaction history, and forecasting data without exposing PII or material non-public information to public LLMs.
Query patient-level datasets, claims, and clinical records using commercial AI while remaining inside HIPAA and GDPR boundaries — because the records are never decrypted.
Cross-analyze first-party loyalty data, syndicated panels, and partner datasets without exposing them — so 3rd-party analytics no longer means 3rd-party exposure.
Analyze comp, performance, and attrition data with the speed of LLM-powered analytics — without compensation tables ever leaving your environment in plaintext.
LLM vendors solve intelligence. Privacy startups solve cryptography. Nera is the layer that makes the two work together — and ships it as something a business user can actually use.
From a single analyst exploring the product to enterprise-wide deployments with full audit and policy controls.
The fastest way to understand Secure Data Analyst is to use it. Drop in a spreadsheet and ask a question.
Try it now →