Cost & latency
Live spend per route, tenant and feature — with anomaly alerts and budget burn-down.
The platform
A single control plane for all your AI.
OMNOXA sits between your application and every model — text, vision, audio, code — giving you one governed, observable, resilient path for all AI traffic.
Your app
Existing OpenAI-compatible client
No SDK rewrite. Swap the base URL.
OMNOXA
Unified gateway control plane
Routing · guardrails · memory · traffic.
Providers
40+ models & local runtimes
OpenAI, Anthropic, Gemini, open-source, vLLM.
policy: cheapest (cost·ctx)
request text · 3k ctx
candidates scored:
llama-70b $0.0009 · 410ms ✓
mistral $0.0014 · 380ms
gpt-4o-mini $0.0015 · 260ms
→ routed: llama-70b (local+vllm)
quality gate: ≥0.92 ✓
01 · Dynamic routing
Score every model. Pick the optimal path.
The router evaluates each candidate on real-time cost, latency, context fit, modality capability and provider health, then selects the best route — with canaries, A/B splits and shadow traffic for safe rollouts.
- Built-in policies: balanced · cheapest · fastest · highest-quality · custom
- Quality gates & semantic eval to keep cheap routes from degrading output
- Instant failover with circuit breakers and retry budgets
02 · Guardrails
One safety policy, every model.
Enforce consistent protection at the gateway — independent of provider capabilities — with full lineage for every transformation and decision.
- PII, PHI and secrets masking before any provider call
- Prompt-injection & jailbreak detection on input and output
- Token budgets, per-tenant quotas and content moderation
policy enterprise-strict v12
input transforms:
pii.mask ✓ · injection.defense ✓
secrets.redact ✓ · geo.residency EU ✓
output transforms:
moderation ✓ · toxicity <0.02 ✓
✓ released · audit#9c4d · 100% traceable
scope user:u_8821 · session:s_44
cross-modal context attached:
vision.summary (img#12) ✓
audio.intent (call#7) ✓
text.history (last 6 turns) ✓
routed to: claude (vision+text)
→ unified context window · 0 glue code
03 · Unified memory bus
Memory that travels across models.
A scoped, persistent memory bus unifies context across modalities and providers. Switch from a vision model to a text model mid-session — context comes along automatically, with no glue code.
- Cross-modal context assembly into a single window
- Scoped memory: user, session, tenant and global
- Vector + summary hybrid retrieval with TTL controls
04 · Traffic control
Production-grade at millions of requests.
A high-concurrency scheduler handles quotas, priority lanes, queueing and backpressure — so a burst on one tenant never starves another, and a slow provider never stalls your app.
- Priority lanes & fair-share scheduling per tenant
- Adaptive concurrency & provider backpressure
- Streaming-first with ordered, resumable responses
now 48,210 rps · 312 active conns
lanes:
P0 billing latency 24ms
P1 support latency 71ms
P2 batch queued 1,204
backpressure: provider-x degraded
→ failover to provider-y · 0 errors
Observability
See every request. Optimize continuously.
Unified traces, cost & latency dashboards, quality scoring and policy audits — with OpenTelemetry export and warehouse-ready event streams.
Quality scoring
Automated evals compare routes so cheaper paths never silently degrade output.
Full audit lineage
Every transform, route and policy decision is immutable, searchable and exportable.
See the platform on your traffic.
Bring a real workload and we'll route it live across multiple models — with a cost and compliance report you keep.