Video Engagement Platform

Cloud Native

The Vocinity Video Engagement Platform was built from the ground with one goal in mind – to make conversational brand assistants simple to deploy, cost-effective to use, and genuinely engaging.

Our platform leverages best-of-breed commercial and open-source technologies plus more than 100 unique development projects involving the latest in data science, machine learning, natural language processing, real-time video encoding, and more.

Leading Edge Tech

But, Vocinity is not just another chatbot company. It’s a one-stop-shop for powerful yet cost-effective video based engagement featuring virtual brand assistants, live video chats and streaming commerce broadcasts.

The Vocinity Video Engagement Platform helps high-value brands and their partners and retailers create and manage immersive multimedia, contextual experiences across phones, websites, mobile applications, and digital signs.

ANY DEVICE USING WEBRTC

NO CODE DEVELOPMENT PLATFORM

live video chats AND streaming 
broadcasts

machine learning & enhanced AI 

custom cgi avatars, voices & DICTIONARIES

eNHANCED NLU PROCESSING AND ERROR CORRECTION 

IN-CONTEXT call tRANSFERS to live agents (VOICE/VIDEO)

proprierarty logic for real-time voice/video calls

CUSTOMER CALL ROUTING RULES

noise reduction AND ADAPTIVE bandwidth

micro-services architecture with extensive API’s

telco grade high availability & security

unique multimedia gateway for voice and video

Secure recordings, transcriptions and Call Detail Records

SIP, WEBRTC, AND GRPC INTERFACES

We Make Building Conversational Brand Assistants
Simple, Easy and Fast

Our expert team can help build your conversational video bot or your can create your own using our Agent Builder application. You have many text-to-speech options as well, but we can also assist you in creating a custom voice or video avatar.

Vocinity No Code Agent Builder
  • Quickly build and deploy omnichannel conversational bots
  • Create intent-driven conversations with custom actions
  • Capture detailed conversation analytics
  • Bots continually improve through iterative machine learning
  • Deliver personalized experiences via API
  • Transfer to a live agent without losing context

Engagement Process

REVIEW

Review existing workflow and content as well as application and phone system APIs.  Define conversation triggers and context as well as corresponding actions.

ENGAGE

Create a rough script outline and bot use cases. As needed, access to Agent Builder is provided. A statement of work can include script, bot, voice and avatar customization as well as integration with existing systems.

DEVELOP

Once an SOW is completed and signed, a final script is created. At this time, we also complete the required integrations.

TRAIN & TEST

After coding is complete, internal use acceptance testing helps provide initial model training. Iterative testing helps finalize the script and Bot logic.

DEPLOY

Next, we deploy a production agent. You have access to a management console for monitoring system performance.

lEARN & ENHANCE

The bot continue to learn and improve but new background intents and workflow actions are likely as well.