Global AI Platform Achieves 40% Faster
Real-Time Interactions With RTC League

The client's AI system suffered from 1:1 and group interaction delays, jitter variance, and unpredictable scaling under peak usage. Their legacy real-time stack had reached its limits, forcing them to seek a high-performance alternative leading them to RTC League.

Industries

ENTERPRISE COLLABORATION, AI SAAS, REAL-TIME COMMUNICATION

Services

LIVEKIT SUPPORT, AI AGENT ENGINEERING, AGENT AUTOMATION, MEDIA SERVER OPTIMIZATION, CLOUD INFRASTRUCTURE HARDENING

Tools We Used

LIVEKIT, KUBERNETES (EKS/GKE/AKS), PROMETHEUS, GRAFANA, OPENTELEMETRY, ELK/LOKI, AWS (S3, CLOUDFRONT), STREAMING ASR/TTS, SECURE TOKEN AUTH, DOCKER, CI/CD (BLUE-GREEN + CANARY)

Challenges

Struggling with inconsistent agent behavior during live voice/video interactions.
Existing LiveKit deployment lacked proper architecture, resulting in latency spikes, call failures, and unstable media sessions.
AI pipelines were not optimized for multi-channel, real-time communication, causing delays in STT/TTS responses.
Lack of deterministic session orchestration between AI agents and LiveKit tracks led to workflow interruptions and duplicate message processing.
Media server infrastructure could not reliably support production loads, recordings, or global call flows.
Absence of observability, proper telemetry, and security baselines prevented enterprise-level rollout.

The client required an end-to-end LiveKit support solution with AI agent automation, hardened media infrastructure, and ultra-low latency communication.

Our Solution

01- Discovery & Architecture Audit

Performed a full audit of LiveKit, AI pipelines, media metrics, and integration flows.
Captured mission-critical user journeys including agent-initiated calls, handoffs, recordings, and 3rd-party workflows.
Defined measurable KPIs/SLOs for latency, availability, call performance, and MOS quality metrics.

02- Agent Configuration & Performance Tuning

Standardized container images with pinned dependencies and resource limits for predictable agent performance.
Built per-agent resource profiles (CPU/Mem/GPU) for optimal scaling.
Tuned codec, simulcast, and bandwidth strategies across device/network profiles.
Integrated session affinity and sidecar logging/metrics collection for stability.

03- AI Agent Integration Engineering

Re-architected the signaling and integration layer between LiveKit and AI backends.
Added reliable event buses for idempotent message processing.
Designed an orchestration service mapping LiveKit tracks → agent instances → AI sessions.
Implemented secure token generation, expiring credentials, and overload backpressure controls.
Built deterministic reconnection and session-resume capabilities for network fluctuations.

04- Automated AI Voice/Video Communication Pipeline

Built a low-latency pipeline: LiveKit → egress → streaming ASR → agent logic → TTS → LiveKit.
Adopted partial-result ASR for faster perceived response times.
Implemented VAD to eliminate unnecessary ASR load.
Optimized short audio chunking for rapid agent reply loops.
Built fallback logic using prebuilt prompts or human handoff when latency spikes.

05- Media Server & Infrastructure Hardening

Migrated to a Kubernetes-native architecture with autoscaling LiveKit nodes.
Deployed centralized, autoscaled TURN fleet for global NAT traversal.
Enabled reliable recording/egress with S3 storage + CloudFront delivery.
Added L4 load balancing for media and SIP/HTTP signaling.
Implemented CI/CD with blue-green deployments, canary testing, and feature flags.

06- Monitoring, QA & Security Layer

Deployed Prometheus, Grafana, OpenTelemetry, ELK/Loki, and PagerDuty for full observability.
Added distributed tracing for AI flows and signaling paths.
Built synthetic call bots, load testing suites, and regression testing for agent behavior.
Enforced SRTP/TLS encryption, token auth, IAM least privilege, and audit logging.

Results We Achieved

40% faster real-time communication performance, enabling sharper AI-human interaction.
Consistently stable agent behavior during live voice/video sessions across global regions.
Ultra-low latency AI STT/TTS loops, making interactions feel natural and human-like.
Production-grade media infrastructure capable of supporting high concurrency and global traffic.
Reliable recording/egress workflows with enterprise-ready durability and playback distribution.
Improved operational reliability, meeting defined SLOs for availability and call quality.
Full observability and audit readiness, supporting enterprise compliance and operational transparency.
Boosted platform credibility, contributing to the client's successful acquisition by WOWZA.

The organization now benefits from a scalable, automated, AI-driven communication layer engineered for performance, resilience, and enterprise adoption.

Client Experience

With RTC League's end-to-end LiveKit intervention, the platform was able to:

Launch advanced AI communication features faster.
Resolve persistent real-time integration issues.
Deliver a more reliable experience to enterprise users worldwide.
Strengthen product value, accelerating their path toward acquisition.

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Global AI Platform Achieves 40% Faster Real-Time Interactions With RTC League