The Speekee Engine
Under the hood of our zero-latency autonomous call operators. How we translate voice into API events in under 400 milliseconds.
Real-time Telephony
Using Twilio SIP media streaming, we feed live raw audio chunks into a dual-direction WebSocket gateway. Zero buffer lag, direct trunking support with any carrier.
Cognitive AI Parser
Real-time transcripts from Deepgram are evaluated by low-latency LLMs. The parser detects intent, checks logic flows, and compiles dynamic response branches.
Action Triggers
Invokes custom API endpoints, books into databases, reschedules CRMs, or gathers human handoff approvals — all inside the live call stream.
Key Technical Features
Built for production-grade voice deployments at scale.
Interruptible Barge-In
Callers can cut off the voice assistant mid-sentence. The engine stops audio streaming instantly, captures the new statement, and updates conversational context.
CRM & API Lookup Filters
Before the conversation greeting begins, a fast parallel GET hits your CRM to fetch profile names, outstanding orders, loyalty flags, and appointment history.
Manual Handoff Approvals
High-risk operations (e.g., refunds) can be held in a pending confirmation state. The agent notifies operators via webhook while keeping the caller on the line.
Multi-Tenant Logging Streams
Each tenant logs actions, transcripts, LLM prompt templates, and REST execution payloads — providing developers with rich tracing and debugging tools.
Works With Your Stack
OpenAI, LM Studio, Twilio, Deepgram, Bland AI, custom CRMs, Zapier webhooks, and any REST-compliant API.
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