The Shared Speech Layer For Contact And Beyond
Camlin Speech
Recognition, prompting, and validation
Speech is the reusable layer beneath multiple products
Multi-engine recognition
Choose the right recognition engine for the channel, journey, or environment instead of tying every use case to a single vendor path.
Prompting and response handling
Speech supports the prompt layer that Contact and other platform experiences use for voice turns, confirmations, and guided capture.
Structured capture and validation
Move from free-form recognition into validated business data with confidence-aware handling, entity capture, and guided re-prompt patterns.
Architect-ready configuration
Speech settings can be applied where journeys are designed, then reused consistently when those journeys are compiled across runtime channels.
Channel support beyond voice
Speech supports Contact first, but it can also serve broader platform surfaces wherever recognition, prompting, or structured capture are needed.
One shared layer
Keeping speech shared avoids duplicated recognition logic and helps teams govern prompts, capture rules, and tuning decisions in one place.
Speech serves Contact first and the broader platform next
Camlin Contact
Speech powers the recognition, prompting, and capture layer used inside the Contact operating model and the Voice runtime nested within it.
Camlin Architect
Architect defines how journeys should behave. Speech provides the reusable recognition and prompt capabilities those journeys rely on at runtime.
Avatar and other surfaces
Where voice or structured speech input matters outside Contact, the same shared layer can support visible assistants and broader platform experiences.
The layer is specific enough to be useful and broad enough to be reusable
Google, Deepgram, Azure, AWS Transcribe, and Whisper are all available through the shared speech layer.
Free-form, structured, DTMF, grammar, and hybrid patterns help teams tune input collection to the moment rather than forcing one style everywhere.
Dates, phone numbers, addresses, identity fields, and other business data can be handled in a more structured way once speech has been captured.