Products · Gateway

Qyira GenAI — Enterprise AI Gateway Platform

Unify providers, private models, and policy in one control plane. Route every GenAI request with security, observability, and deployment choice—on-prem, hybrid, or online.

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Overview

Qyira GenAI is the enterprise gateway that sits between your applications and every model endpoint you trust— cloud, private, or self-hosted—so product teams ship faster without losing platform control.

One API surface

Standardize completions, embeddings, and tool calls behind a stable REST interface. Swap providers without rewriting every client.

Policy at the edge

Enforce budgets, rate limits, allowlists, and data controls before tokens leave your boundary—or before they reach a public endpoint.

Ops-ready by design

Built-in monitoring, cost analytics, and audit trails so CIOs, CISOs, and platform owners share one source of truth.

Architecture

Applications talk to Qyira GenAI. The gateway authenticates, routes, and observes. Providers execute. Your policies stay central. Watch a simulated request move through the path — decorative demo only; no traffic leaves this page.

AI Gateway

The entry point for every GenAI call: identity, tenancy, quotas, and payload controls in one place.

Capabilities

  • API keys, SSO-backed service accounts, and tenant isolation
  • Request/response filters for PII and policy violations
  • Per-team and per-application budgets and rate limits
  • Centralized allowlists for models, tools, and destinations

Why it matters

Shadow AI spreads when every team wires providers differently. The gateway gives innovation a safe on-ramp: product velocity stays high while security and finance retain leverage.

AI Router

Intelligent routing across models and regions based on latency, cost, quality targets, and failover rules.

Policy routes

Map use cases to preferred models. Fall back automatically when a provider degrades or exceeds budget.

Load & affinity

Balance traffic across endpoints and keep sticky sessions where conversation state requires continuity.

Experimentation

Shadow or split traffic to evaluate new models safely before promoting them to production routes.

AI Providers

Connect leading cloud model APIs and private endpoints through one governed catalog—vendor independence without fragmentation.

Public cloud APIs

Register approved providers with credentials vaulted and rotated under platform policy.

Private & open weights

Point the gateway at self-hosted runtimes for sensitive workloads and air-gapped patterns.

Health-aware catalog

Track availability, version, and capability tags so routers and admins see the same inventory.

Online AI

Use approved cloud models when speed and capability matter—still behind Qyira policy and metering.

  • Egress controls and destination allowlists
  • Regional preference and residency hints
  • Cost caps per workspace and environment
  • Full request audit for online traffic

Best for

Prototypes graduating to production, burst capacity, and specialty models that only exist as managed cloud services—without letting every app hold its own API keys.

On-Prem AI

Keep inference and orchestration inside your network when data cannot leave the trust boundary.

  • Gateway and router deployable in your VPC or data center
  • Private model endpoints with the same admin UX
  • Hybrid routes: on-prem first, online overflow when policy allows
  • Aligned with regulated industry and government postures

Best for

Banking, healthcare, government, and any estate where security review starts with “where does the prompt go?”—and the answer must be under your control.

AI Model Management

Curate which models exist, who can call them, and how they are versioned across environments.

Catalog & versions

  • Register models with capability tags (chat, embed, vision, tools)
  • Promote versions from staging to production with change notes
  • Deprecate endpoints without breaking route aliases

Access control

  • Bind models to workspaces, apps, and roles
  • Separate eval traffic from customer-facing paths
  • Require approvals for high-cost or high-risk models

AI Runtime

Execute and scale inference workloads with packaging options that fit enterprise ops—Docker, Kubernetes, and multi-OS targets.

Container-ready
Kubernetes friendly
Windows / Linux / Mac
High availability
Multi-tenant isolation
Config as code

Monitoring

Know when providers slow down, quotas trip, or error rates climb—before users open a ticket.

Latency & errors

Track p50/p95 latency, timeouts, and provider error classes per route and model.

Health checks

Probe endpoints and automatically drain unhealthy targets from the router pool.

Alerts

Notify ops channels when budgets, error budgets, or SLA thresholds are breached.

Analytics

Token and cost analytics that finance and platform teams can trust—by team, product, and model.

Token analytics

Inspect prompt vs. completion tokens, cache hits, and usage trends so you can right-size models and prompts.

Cost analytics

Attribute spend to workspaces and applications. Compare providers on effective cost for the same quality bar.

APIs

A stable REST surface for chat completions—auth via API key, routed by GenAI policy. Sample for illustration only.

POST /v1/chat/completions Request 
{
  "model": "qyira-route:enterprise-default",
  "messages": [
    { "role": "system", "content": "You are a policy-aware enterprise assistant." },
    { "role": "user", "content": "Summarize the Q2 risk memo in three bullets." }
  ],
  "temperature": 0.2,
  "max_tokens": 512,
  "metadata": {
    "workspace": "risk-ops",
    "app": "qyira-x"
  }
}
200 application/json Response 
{
  "id": "chatcmpl_01J8QYIRADEMO",
  "object": "chat.completion",
  "model": "provider-model-alias",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "1) Credit concentration remained within board limits.\\n2) Two watchlist names require committee review.\\n3) Model monitoring showed no material drift."
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 186,
    "completion_tokens": 64,
    "total_tokens": 250
  },
  "qyira": {
    "route": "enterprise-default",
    "provider": "on-prem-cluster-a",
    "latency_ms": 412
  }
}

Screenshots

Illustrative GenAI console views — routes, observability, cost, and model catalog. Final product captures may differ by release.

Gateway · Routes
Route console listing model routes with policies, primary providers, failover, and live status
Route console Configure model routes, failover, and environment aliases.
Observability · Live
Monitoring board showing latency trend, error rate, request volume, and provider health
Monitoring board Latency, errors, and provider health in one operational view.
Analytics · Cost
Cost and token analytics with spend charts and workspace attribution
Cost & tokens Attribute spend by workspace, application, and model.
Catalog · Models
Model catalog showing online providers and on-prem private models with access controls
Model catalog Manage providers, versions, and access for online and on-prem endpoints.

Related industry solutions

Explore how this fits with the rest of the Qyira AI platform and industry solutions.

Put every model behind one enterprise gateway

See Qyira GenAI route, govern, and observe AI traffic for your stack—on-prem or online.

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