The trust layer for enterprise AI

Trust your AI
in production.

Vorana sits between your apps and AI — catching errors, cutting cost, and keeping every answer auditable. So your teams can ship AI features without betting the business on a model's good day.

70%
Fewer wrong answers
40%
Lower AI cost
100%
Audit-ready by default
Any
AI vendor, any region
The shift

From AI as a gamble — to AI you can sign off on.

Without Vorana

Every team, on their own.

AI calls go straight from each app to whichever vendor each team picked. Nothing checks them. Nothing adds them up. Nothing remembers.

  • Hallucinated answers reach customers
  • Sensitive data leaks to the wrong vendor
  • Costs balloon — no one can explain why
  • Audit trails live in screenshots
  • Switching providers means rewriting code
With Vorana

One trust layer for every team.

Every AI call passes through one place. Validated, scored, policy-checked, and audited — before the response is allowed to leave.

  • Wrong answers caught before they ship
  • Sensitive data masked, by policy
  • Cost capped per team and per use case
  • Every answer traceable, replayable, signed
  • Vendors swap without touching app code
What you get

See exactly what Vorana does to every call.

Cross-checking

Don't ship answers your models disagree on.

Vorana asks two or three providers the same question. If they agree, you ship. If they don't, the response gets flagged or escalated — before your customer sees it.

  • Per-pipeline consensus threshold
  • Auto-fallback to a stronger model on disagreement
  • Disagreements logged, not silenced
vorana / consensus
Q
What's our refund window for purchases over $500?
azure-gpt-4o
96%
claude-3.5-sonnet
91%
gpt-4o-mini (judge)
88%
Shipped — consensus 0.92 (threshold ≥ 0.85)
Cost cascade & cache

Pay AI prices only when you have to.

Repeated questions hit the prompt cache. Easy ones run on cheap models first, only escalating when scoring fails. Real workloads see 40–70% savings in the first month.

  • Deterministic prompts cached, not re-billed
  • Cascade: cheap → mid → premium, by score
  • Per-tenant budgets enforced at the gateway
vorana / cost · live
QueryRouteCost
"Refund policy?" cache hit $0.0000
"Reset password steps" gpt-4o-mini $0.0008
"Compare SOC2 plans" claude-3.5-sonnet $0.0142
"What's my balance?" cache hit $0.0000
Audit & replay

Replay any answer your auditor asks about.

Every call is captured: inputs, model decisions, citations, scores, obligations. Pull it up by run_id, see the trace, and re-run it — months after it happened.

  • Immutable runs, signed and CMK-encrypted
  • One-click replay against the same pipeline
  • Search by tenant, status, score, or text
vorana / runs
r_8f3a… ok 2:14 PM Replay
r_2c9d… low_conf 2:13 PM Replay
r_71b2… ok 2:12 PM Replay
r_2c9d… · tenant_acme · pipeline.faq_assistant.v1
validation.input
retrieval.hybrid 3 sources
llm.consensus 0.92
! scoring.composite 0.74
obligation: human_review
Policy & PII

Stop secrets before they leave the building.

Vorana strips PII, customer IDs, and secrets before the prompt ever touches an LLM provider. Region-locked routing and BAA-only vendor lists are policies, not vibes.

  • Detect-and-mask: names, SSN, emails, card numbers
  • Per-tenant vendor allowlists and region locks
  • Signed policy bundles — even in air-gapped mode
vorana / policy
Incoming request
Customer Sarah Chen (sarah.chen@acme.com, SSN 123-45-6789) called about invoice INV-9821. Card on file ending 4421.
Sent to LLM
Customer [NAME] ([EMAIL], SSN [SSN]) called about invoice [INVOICE_ID]. Card on file ending [CARD_LAST4].
5 fields masked eu-west only
Skill registry

Build a skill once. Every project gets it.

Package a vetted capability — PII redaction, a custom retriever, a domain-tuned judge — into a Skill. Publish it to your org. Every pipeline, every team, every agent shares the same signed, audited version.

  • Versioned, signed, pinnable references
  • Org-wide registry with used-by graph
  • Update once, propagate on next deploy
vorana / skills · org_acme
redact_customer_pii
v2.1.0 @acme/security
Detect & mask names, SSN, email, card. EU-GDPR + US-PII profiles.
14 pipelines 5 teams
judge_compliance
v1.4.2 @acme/legal
Score answers against your policy library. Returns risk + citation.
8 pipelines 3 teams
retrieve_policy_kb
v3.0.1 @acme/platform
Hybrid retriever over the policy + handbook index. Citations enforced.
22 pipelines 7 teams
summarize_call_note
v0.9.0 @acme/cx
Domain-tuned summarizer for support tickets and call recordings.
6 pipelines 2 teams
redact_customer_pii · v2.1.0  →  used by
customer-chat-prod support-copilot claims-intake advisor-agent +10 more
How it works

Four steps. No rip-and-replace.

1

Connect

Point your apps at Vorana. No code changes for OpenAI-style clients.

2

Configure

Pick the guardrails you need — in plain language, in our admin console.

3

Govern

Every call runs through validation, scoring, policy, and audit — automatically.

4

Improve

Watch quality and cost per team in one dashboard — and replay anything you don't like.

Built for the team behind the AI

One platform. Four jobs done at once.

Platform engineering

One drop-in gateway for every AI feature. OpenAI- and Anthropic-compatible, so you bring apps under governance without rewrites.

Security & compliance

PII redaction at egress, signed policy bundles, per-tenant CMK encryption. Air-gap capable. SOC 2 / HIPAA evidence on demand.

Finance & FinOps

Per-team and per-use-case budgets enforced at the gateway. Cascade and cache catch easy traffic before premium models bill for it.

Product teams

Ship AI features without owning the on-call risk. Replay any user complaint by run id, and roll forward without touching app code.

Vendor-neutral

Connected to every major AI — today and tomorrow.

Built on trust

Designed for the standards your security team already cares about.

SOC 2 ready
HIPAA aligned
GDPR friendly
ISO 27001 path
Self-hostable
Air-gap capable

Ship AI you can stand behind.

30 minutes with our team is enough to know if Vorana fits. We'll show you, on your data.