Enclave Intelligence
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Engagement
4–6 weeks. We ingest a sample of your documents, demonstrate capability against your actual corpus, and deliver a deployment proposal. Paid engagement.
16–20 weeks. Fixed-price infrastructure build sized to your portfolio. Hardware included. The system is yours at the end of it.
Annual license. Model updates, new document ingestion as your corpus grows, security patching, and priority support. Fixed fee.
Agentic workflows, monitoring, research synthesis, third-party integrations. Each capability is a separately scoped module, built when you need it.
How we're different
AI enterprise licenses process your documents on their infrastructure. Uploading to any external system, even under enterprise contract, may violate third-party confidentiality obligations and leaves you subject to terms of service that can change without notice. Enclave is architecturally incapable of this risk. The data never moves.
Every AI system on the market relies on testing and runtime filters to catch failures after they happen. Enclave Intelligence mathematically proves that guardrails, data routing, access controls, and workflow logic are correct before deployment. This is formal verification: the same standard used in aerospace and semiconductor design. When a system is formally verified, certain classes of failure are not unlikely, they are impossible.
Cloud AI charges per seat, per token, and per month — with pricing subject to change at any time. Enclave Intelligence deploys a one-time build with a fixed annual license. Once deployed, every query is free with no usage metering, no cost escalations, and no invoices that grow with adoption.
We work with a small number of firms at a time. Every inquiry gets a personal response.
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