Verbaco™ Performance

The Verbaco™ performance model is engineered for consistency, speed, and scale. Whether serving thousands of users across government portals or supporting multilingual teams in enterprise environments, Verbaco™ delivers fast, secure, and predictable chatbot performance, without compromise.

We benchmark and optimise every layer of the platform to meet the needs of high-assurance organisations operating in real-time, mission-critical environments.

Response Times That Scale

Verbaco™ architecture is optimised to deliver consistently low-latency responses, even under load.

  • Average User-to-Bot Response Time:
    < 700ms (simple response), < 1.5s (LLM-generated with data lookup)
  • Peak Load Performance:
    Up to 2,500 concurrent sessions per node, horizontally scalable
  • Latency Decomposition:
    • Front-end render: ~100ms
    • API routing: ~60ms via Azure APIM
    • LLM call (OpenAI): ~600ms with contextual prompt
  • Multilingual Performance:
    Dynamic translation adds ~200–400ms per message depending on complexity and LLM cache state

Scalability and Load Handling

Verbaco™ is designed to scale dynamically with demand, thanks to its cloud-native architecture.

  • Kubernetes Auto-Scaling
    Automatically adds pods during high traffic periods without downtime
  • Stateless Microservices
    Individual components (chat, parsing, retrieval, API) scale independently
  • Load-Testing Benchmarks
    • Sustained 1M+ messages/day across 10,000 sessions
    • 99.98% success rate under simulated government service load
  • Elastic LLM Invocation Pooling
    Manages concurrency and caching across AI requests, avoiding OpenAI rate limit bottlenecks

Uptime and Availability

Verbaco™ meets enterprise-grade reliability expectations, with high uptime and optional SLAs.

  • Current SLA Uptime (SaaS):
    99.9% monthly availability (measured via Azure Monitor)
  • Failover Strategy:
    • Multi-zone Kubernetes deployment (AKS)
    • Liveness probes, auto-restart, and self-healing services
    • Redundant ingress controllers with traffic shaping
  • Deployment Options for Higher Availability:
    • Private Cloud with zone replication
    • On-prem with external load balancer failover

Monitoring and Observability

Performance isn’t just about speed, it’s about visibility.

  • Real-Time Dashboards
    Monitor message throughput, processing time, and LLM latency
  • Per-Bot Metrics
    See how individual bots perform under different conditions or audiences
  • Alerting & Thresholds
    Trigger alerts for slow responses, failed workflows, or system backlogs
  • Log Analytics Integration
    Exports to Azure Monitor, Elastic, or SIEM platforms for full observability

Testing and Optimisation

Every deployment goes through rigorous performance testing and tuning.

  • Load Test Scripts Included
    Validate your own SLAs before go-live
  • Prompt Optimisation Engine
    Reduces token usage, shortens LLM inference time, and improves relevance
  • Knowledge Pre-Warming
    Cache high-demand knowledge embeddings for near-instant recall
  • API Throttling and Queue Management
    Ensures graceful degradation under extreme load rather than failure

Built for High-Trust Environments

Verbaco™ is designed to meet the performance demands of:

  • Public service portals
  • High-volume internal helpdesks
  • Regulated citizen-facing services
  • AI triage and escalation desks
  • Emergency response or info dissemination chatbots

Ready to Benchmark It Yourself?

Request a Performance Report or Book a Live Load Test to see how Verbaco™ performs in your environment, on your data, and at your expected scale.

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