Start where it suits you.

Vorana sits between your apps and AI vendors. Every AI request flows through it — we check the inputs, optionally ground the answer in your data, score the response, apply policy, and capture the whole exchange for audit. Your apps don't change. Your AI bills get smaller.

You still buy AI from them. Vorana doesn't replace your provider — it adds the reliability, cost, and compliance layer above them. You can mix vendors per use case, switch providers without touching app code, and keep one consistent audit trail across all of it.

Most teams are running their first pipeline in a week. A typical pilot — one use case, one tenant, one provider — takes two to four weeks end-to-end including security review.

Wherever you say. Vorana runs in your cloud, our cloud, or fully air-gapped. Data residency is configurable per tenant and per use case. We never train on your data — ever.

No. Vorana is vendor-neutral by design. Your existing contracts with Azure OpenAI, OpenAI, Anthropic, AWS Bedrock, or self-hosted models all keep working — Vorana just sits in front of them.

Three ways: caching repeated questions (savings show up immediately), routing easy questions to cheaper models (savings show up after a week of tuning), and per-team budgets that hard-cap spend (savings show up the moment a team would have overspent).

Vorana is designed around the controls these frameworks require — tenancy boundaries, immutable audit, key management, data residency, redaction. Enterprise plans include the evidence package your auditors will ask for.

Yes. Custom checks, scoring, redaction, or routing logic can plug in without changing Vorana itself. Your platform team owns extensions; product teams just consume the same trust layer.

The managed plan is multi-region with 99.9% / 99.99% SLAs. Self-hosted deployments scale horizontally with no central single-point-of-failure. We help you design the topology your business continuity team will sign off on.