Security-first AI for pharma
- Hardware-encrypted inference you can try today
- Open models that rival proprietary performance
- Purpose-built models for pharma manufacturing
Hardware-encrypted AI inference.
When you send data to an AI model through a standard API, it is processed in plaintext on the provider’s servers. Providers commit not to retain or train on it — and we have no reason to doubt them. But in March 2026, an AI company deeply committed to security had 500,000 lines of production code exposed through a packaging error — not a breach, but an operational mistake in a complex system. Our approach is different: on the ColdVault Platform, your data is encrypted during AI inference itself. A memory dump of our servers and GPUs returns encrypted gibberish. We monitor system health through logs but cannot see the data. Bring your auditors — we welcome independent verification. Cloud API or sovereign deployment — we bring our GPU hardware into your server racks, air-gapped from the internet. Both options are Annex 22 ready.
Open models on encrypted infrastructure.
Encrypted inference runs on open models inside hardware enclaves. The performance gap compared to leading proprietary models is narrow — and some independent benchmarks show it disappearing entirely. Our own benchmarking supports the same conclusion. benchmark.coldvault.ai
Models purpose-built for your domain.
Using a generic AI model for pharma manufacturing is like consulting a brilliant generalist on GxP validation — they will produce something, but would you trust it over someone who spent years in the domain? Fine-tuning uploads that domain experience directly into the model, like loading new skills in the Matrix. Full fine-tuning with complete weight access requires open models — and those models run on our encrypted infrastructure, on our cloud platform or via sovereign deployment. We train on your data for your specific tasks. Encrypted. Purpose-built. Annex 22 ready.
All leading models, one API.
For use cases where your compliance policies permit, proprietary models — Claude, GPT, Gemini, Grok — are available through the same API. Data sent to proprietary models is processed by their providers, not inside our enclaves. You choose per request. Multi-model debate — where multiple models discuss, disagree, and converge — improves the best models by up to 30% compared to their standalone performance. One gateway for everything. coldvault.ai
Built from pharma, for pharma.
While most AI-for-pharma solutions are horizontal tools with a pharma label, these were designed from the manufacturing floor.
All products run on the ColdVault Platform. Encrypted. Annex 22 ready.
Start small, scale when you are ready.
Get a free API key with access to encrypted open-source models. Rate-limited, minimal contract setup, no budget approval needed.