Now in Private Beta

Your AI spend,
finally visible.

VORA is the gateway that sits between your teams and every AI model — routing smarter, caching better, guardrailing every response, and surfacing the intelligence hidden in your usage.

43%
Avg cache hit rate
38%
Reduction in API spend
ROI within 90 days
What V · O · R · A stands for
V
Visibility
Complete visibility into every rupee your company spends on AI — by team, use case, model, project tag, and business outcome. No more black-box invoices.
O
Optimisation
Semantic caching, intelligent model routing, prompt compression, and agent context pruning eliminating 35–60% of unnecessary AI spend — automatically.
R
Routing Intelligence
ML-aware routing with fallback chains, A/B experiments, latency awareness, prompt-class routing, and closed-loop quality scoring. Right model, every time.
A
Analytics
Operational intelligence that surfaces what your teams actually ask AI — knowledge gaps, automation opportunities, anomalies, and trends hidden in usage.
How VORA Works

One layer between you
and every AI provider.

Drop VORA in as a transparent middleware. Your teams keep using AI exactly as before — VORA handles routing, caching, guardrails, scoring, and intelligence silently in between.

your-app → gateway.vora.ai/v1 → openai · anthropic · google · meta · mistral · cohere
Your apps
Your App / API
SDK / REST
Slack Bot
Webhook proxy
AI Agent
LangChain / Custom
Workspace UI
Chat / tasks
Middleware
Powered by
PII Scrubber
Semantic Cache
Model Router
Guardrails
Quality Judge
Intelligence
AI Models
GPT-4o, o1, o3
Reasoning · multimodal
Claude Sonnet, Opus
Long reasoning
Gemini 1.5/2.0
Long context
Llama 3.3 / 3.1
Open source
Mistral · Cohere
EU · RAG-tuned
What you get
Spend Dashboard
team · use case · project
Intelligence Insights
gaps · automation · trends
Quality Scoring
LLM-as-judge · 4 axes
Anomaly Alerts
per-user · per-key
PII Audit Log
Immutable · GDPR ready
What VORA Does

Four pillars.
One platform.

Observe every rupee. Optimise every query. Govern every request. Understand what your AI usage reveals about the business.

01 · OBSERVE
Total Spend Visibility
Every AI API call tagged by team, use case, project, and business outcome. Real-time dashboard. Finally — a lever your CFO can actually pull.
Spend Dashboard
02 · OBSERVE
PII Audit & Compliance
Microsoft Presidio strips customer names, emails, and financial data before any query leaves your infrastructure. Every scrub event logged. GDPR · HIPAA · SOC2 ready.
Compliance Ready
03 · OPTIMISE
Semantic Caching
Vector similarity so "what is your refund policy?" and "how do I return an item?" hit the same cache entry. 40–60% of all queries served from cache — zero API cost.
Redis + pgvector
04 · OPTIMISE
Intelligent Model Routing
ML-based complexity scorer routes each query to the cheapest model that handles it reliably. Fallback chains, A/B experiments, latency-aware swaps, prompt-class routing.
Smart Router
05 · OPTIMISE
Prompt Compression
LLMLingua removes filler words and redundant context before the query hits the API. ~40% token reduction on standard queries, up to 60% on multi-step agent tasks.
LLMLingua
06 · GOVERN
Output Guardrails
Post-response regex blocks, PII leak detection, and JSON schema validation. Default rules catch keys / cards / private keys. Streaming-aware — redacts mid-stream.
v2.6 Guardrails
07 · GOVERN
Spend Governance
Hard budget caps per team, per model, per project. Per-user daily limits enforced via Redis. At 80% alerts fire; at 100% queries auto-downgrade. Finance stays in control.
Budget Controls
08 · INTELLIGENCE
LLM-as-Judge Quality
Sampled responses scored on 4 axes — coherence, helpfulness, factuality, safety — by Claude Haiku. Drives closed-loop routing: low-quality models get de-prioritised automatically.
Quality Loop
09 · INTELLIGENCE
Operational Intelligence
Pattern analysis across all your AI usage. Knowledge gaps, automation opportunities, per-user anomaly detection with learned baselines, week-over-week trends, A/B winner detection.
The Moat
Smart Routing

The right model for
every single query.

VORA classifies every query in under 40ms and routes it through a 10-stage decision pipeline. Caps + locks + waterfall + A/B + latency-aware + prompt-aware + quality-aware + fallback chain — all in the right order.

Decision pipeline · v2.6
Daily user limits A/B variant Team lock Keyword rule Team cap Org cap Waterfall Latency swap Prompt-aware Quality-aware
TRIVIAL · ~58%
Lightweight Models
Yes/no questions, simple lookups, templated replies. Routed to GPT-3.5 Turbo, Claude Haiku, Gemini Flash, or Mistral 7B. 15–30× cheaper than premium models.
Haiku · 3.5 · Flash
COMPLEX · ~31%
Capable Models
Multi-step reasoning, analysis, drafting, code review. Routed to GPT-4o, Claude Sonnet, Gemini Pro. Only used when the task genuinely needs it.
GPT-4o · Sonnet · Pro
CACHED · ~43%
No Model Called
Semantically similar to a previous query. Answered from Redis + pgvector cache instantly. Sub-5ms response, zero API cost, zero hallucination risk.
Cache Hit
Guardrails & Quality

Every response,
checked twice.

Output regex blocks catch leaks before they leave the gateway. Hallucination signals run inline. LLM-as-judge scoring closes the loop — low-quality models get de-prioritised automatically.

POST /v1/chat/completions · guardrails: on · streaming
1# incoming chunk from upstream
2"Here is the customer key: sk-abc1234..."
3# StreamingGuardrail redacts in-flight
4→ "Here is the customer key: [REDACTED_OPENAI_KEY]"
5─────────────────────────────
6# private key pattern detected
7stream halted: [BLOCKED: private_key]
8─────────────────────────────
9# post-response analysis
10hallucination_risk: 0.0
11guardrail_violations: 1
12quality_score: 4 (haiku judge · 4 axes)
13prompt_response_similarity: 0.78
Output Guardrails
Regex blocks · PII leak · schema
Default patterns catch credit cards, OpenAI keys, Stripe keys, GitHub tokens, RSA private keys. Add your own. Streaming-aware — chunks are scanned with a 512-char sliding tail so cross-boundary patterns get caught.
Hallucination Signals
Six rule-based heuristics
Hedge-word density, self-contradiction phrasing, knowledge-cutoff tells, phantom citations, code prompts with no code block, disproportionately short replies. Runs inline. Optional embedding-similarity check via OpenAI embeddings adds a second signal.
LLM-as-Judge
Quality scoring · 4 axes
Sampled 1% of responses (configurable) get scored by Claude Haiku on coherence, helpfulness, factuality, and safety — each 0–5. Average lands in queries.quality_score, drives closed-loop routing, fires a quality_drop insight when the rolling average dips.
Anomaly Detection
Per-user · learned baselines
Redis sliding-window 5× rule for cold start, then learned baselines from 14 days of per-actor history (mean + 2.5σ). Detects query bursts, token bursts, expensive-model bursts, first-time use of premium models by established users.
Workspace

One place your team
manages everything.

A shared control centre — every team member, every API key, every spend limit, and every integration managed from a single pane of glass.

Workspace · Acme Corp
Overview
Teams
API Keys
Budgets
Integrations
Active Teams
6
API Keys
14
Budget Used
62%
TeamQueriesSpendStatus
Support842K$1,420On track
Product310K$980On track
Sales210K$730Near limit
Engineering148K$480On track
Team & Permission Management
Create teams, assign members, role-based access. Each team gets its own keys, limits, and visibility — without seeing each other's data.
API Key Vault
Issue, rotate, revoke keys per team or per app. Every key scoped, rate-limited, tied to a budget. No more shared keys with no accountability.
Budget Controls & Alerts
Monthly caps per team. Alerts at 70 / 90 / 100% of budget. Auto-downgrade routing at the limit so teams never get cut off — they get routed cheaper.
Integration Hub
Connect all 6 providers in minutes — OpenAI, Anthropic, Google, Meta, Mistral, Cohere. Unified billing, unified usage, one workspace.
AI Agent Builder

Build, monitor, and
optimise AI agents.

Design multi-step workflows visually. VORA wraps every step in caching, cost control, PII protection, and quality scoring automatically.

Visual Workflow Builder
Chain prompts, conditionals, and tool calls without writing orchestration code. Every node is a configurable step — model, temperature, system prompt, output parser.
Per-Step Cost Controls
Assign the cheapest capable model to each step automatically, or override manually. VORA tracks cost-per-run at every node so you know exactly which step is eating your budget.
Context Pruning
Multi-step agents carry full history at every iteration. VORA strips redundant turns before each LLM call — up to 60% token reduction on agentic tasks, no loss of accuracy.
Live Run Monitor
Watch every execution in real time — step latency, model used, tokens, cache hits, PII events, quality scores, cost per run. Debug and optimise without guessing.
Agent · Support Ticket Resolver
Live
1
Receive & classify ticket
Haiku · billing / technical / returns
Cache eligible
2
PII scrub customer data
Presidio · name · email · order id → tokenise
Always on
3
Draft response
Sonnet · context-pruned · tone: professional
Pruned 58%
4
Quality check & route
Judge · 4-axis score · send or escalate
avg 4.2/5
5
Restore PII & deliver
Token vault · placeholders swapped back
PII contained
Intelligence Dashboard & Reports

Not just charts —
answers.

The VORA Intelligence Dashboard turns raw query logs into decisions. Live spend, quality scoring, anomaly detection, A/B winner declaration — exportable as PDFs your CFO will sign off.

Intelligence Dashboard · May 2026
Total Spend
$4,120
Saved via VORA
$1,310
Cache Hit Rate
43%
Queries
2.1M
Daily spend ($) · last 30 days
May 1May 8May 15May 22May 30
Spend by team
Support
$1,420
Product
$980
Sales
$730
Eng
$480
Marketing
$290
Query Intelligence · actionable insights
Knowledge gap · Support team is asking AI to rewrite the same 3 refund-policy answers 400× per day. Avoidable spend: $220/month.
Anomaly · user:alice@acme.com ran 200 GPT-4o calls in 5 min vs her 14-day baseline of 8/5min (25σ). Check audit log.
Automation opportunity · 80% of Product team spend is one workflow: release-notes generation. Automating end-to-end could save $480/month.
A/B winner · over 14 days, claude-sonnet-4 beat gpt-4o at 4.3 vs 3.8 quality. Latency and cost within 20%. Consider rolling 100% to claude-sonnet-4.
Quality drop · gpt-3.5-turbo averaging 2.4/5 across 47 samples last 30 days. Closed-loop quality-aware routing will de-prioritise it automatically.
LLM-as-Judge · 4-axis scoring · last 30 days
Avg Quality
4.21/5
Samples Scored
2,847
High-Risk Halluc.
2.1%
Judge Cost
$1.40
Per-model quality scores
claude-sonnet-4
4.4/5
gpt-4o
4.1/5
gemini-1.5-pro
3.9/5
claude-haiku
3.6/5
gpt-3.5-turbo
2.4/5
Monthly Spend Report
Full breakdown by team, model, project. Savings via cache + routing. Board-ready PDF.
Auto · PDF
Intelligence Report
Knowledge gaps, automation ops, anomalies, trends, A/B winners. Cross-tenant benchmarks.
Monthly · PDF
PII Audit Report
Every PII detection + scrub event. Entity type · team · timestamp. GDPR-ready export.
On-demand · CSV
Quality & Guardrails Report
LLM-as-judge averages per model, hallucination flags, guardrail violation counts.
Weekly · PDF
Agent Performance
Per-agent cost-per-run, latency, pruning savings, failure rates. Per-step debugging.
Per agent · CSV
ROI Summary
Gross vs net cost after VORA. Savings by layer — cache, routing, compression. CFO-ready.
Quarterly · PDF
Supported Models

Works with every
major AI model.

One integration, 16 models across 6 providers. VORA routes your queries across the world's leading AIs — automatically picking the right one for every task.

One endpoint. Every model.
Point your existing OpenAI SDK at VORA's gateway — no other code change needed. All 16 models available immediately.
baseURL: https://gateway.vora.ai/v1
Who It's For

Built for B2B SaaS
companies scaling AI.

If your company spends meaningful money on AI APIs every month and can't explain the bill — VORA was built for you.

The CFO / Finance Lead
Finally, AI costs you can budget for
Stop receiving one monthly invoice with no breakdown. VORA gives you line-item clarity — same as you'd expect from any other business cost.
Cost by team, feature, project
Budget caps and alerts
Board-ready PDF exports
The CTO / Engineering Lead
Reduce AI costs without refactoring anything
One proxy change or SDK swap. No product code rewrite. The cache, router, and guardrails start saving money immediately — existing integrations work as before.
Drop-in proxy · one line of config
35–60% cost reduction, automatic
Full query log + routing reasoning
The COO / Operations Lead
Understand how your teams actually use AI
For the first time, see which workflows your company runs through AI, which teams are getting value, and which patterns signal a process problem.
What employees ask AI 400× a day
Automation opportunities by workflow
Industry benchmarks vs peers
Security & Compliance

Built for the regulated
enterprise.

PII never leaves your infrastructure unscrubbed. Every action audit-logged. Encryption at rest and in transit. Multi-tenant isolation enforced at the database level.

SOC2 Ready
Controls aligned with SOC2 Type II from day one. Audit trail · access logs · encryption · vendor list ready for assessment.
GDPR Compliant
Microsoft Presidio strips PII before any query leaves your infrastructure. Bring-your-own-VPC available. Right-to-erasure supported.
HIPAA-ready
PHI handling via tokenisation. BAA available on Enterprise tier. Audit-grade logging on every scrub event.
SSO & SAML
Enterprise SSO via Clerk. Google Workspace, Microsoft Entra, Okta, any SAML 2.0 provider. SCIM provisioning on Enterprise.
Get Access

Join the
private beta.

Onboarding early design partners. You get white-glove setup and a direct line to the product roadmap.

White-glove onboarding · Direct roadmap input · Private beta

Request submitted

The VORA team will reach out within one business day to schedule your personalised demo.