AURA
Book Demo
// ARCHITECTURE & CAPABILITIES

Four Core Technologies.
Zero Infrastructure Drag.

Every layer of the Aura stack is engineered for low latency, deterministic execution, and cost transparency.

PILLAR 01 • VOICE INFRASTRUCTURE

Aura Neural Voice AI

Full-Duplex Conversational Streaming • <120ms Latency

Engineered specifically for real-time telephonic bots, customer service agents, and interactive video avatars. Features streaming Opus compression over WebSockets with sub-120ms time-to-first-phoneme and lifelike emotional inflection.

Opus 48kHz Codec WebSocket Streaming Word-Level Synchronization 40+ Languages
Request Voice SDK Access →
// Voice Engine Telemetry
Format: Streaming Opus 48kHz
Time-to-first-audio: 92ms
Adaptive Jitter Buffer: < 15ms
Full-duplex barge-in: Enabled
Expressive Inflection: Studio v2
// Agent Hierarchy Topology
[Master Planner Agent]
  ├─ Worker: Data Ingestion
  ├─ Worker: Reasoning Loop
  └─ Sandbox: Tool Execution
Self-Healing: Active
PILLAR 02 • AUTONOMOUS REASONING

Autonomous Agent Swarms

Hierarchical Multi-Agent Runtime • Sandboxed Tool Execution

Orchestrate complex agent hierarchies where a master reasoning agent dispatches tasks across specialized worker subagents. Built-in tool calling sandboxes and automatic retries eliminate reasoning deadlocks.

Swarm Orchestration Deterministic Sandboxing Self-Healing Retries Structured Function Calling
Deploy Agent Swarm →
PILLAR 03 • INFERENCE ROUTING

Intelligent Model Router

Multi-LLM Dispatch • 50%+ Cost Reduction

Dynamically dispatch user queries across Gemini, Claude, DeepSeek, and OpenAI based on real-time latency, task complexity, and token budget. Eliminate vendor lock-in with unified APIs.

Dynamic Model Dispatch Automatic Fallback Cost Optimization Unified API
Explore Smart Routing →
// Cost & Latency Router
Query: "Summarize transcript"
➔ Routed: Gemini 2.0 Flash (42ms)
Query: "Architect security protocol"
➔ Routed: Claude 3.5 Sonnet (280ms)
Avg Cost Reduction: 54.2%
// Privacy Enclave Manifest
Zero Customer Data Retention: ✔
Ephemeral RAM Execution: ✔
Automated PII Masking: ✔
TLS 1.3 Strict Encryption: ✔
Compliance: SOC2 Type II Ready
PILLAR 04 • ENTERPRISE SECURITY

Enterprise Privacy Enclave

Zero-Retention Edge Memory • Automated PII Masking

Customer prompts, audio streams, and memory vectors live only in volatile edge memory during execution. We enforce zero data training and automated PII masking across all inference pipelines.

Zero Data Retention Ephemeral Memory Automated PII Masking SOC2 Ready
Review Security Disclosures →