Delivering Intelligence for the Digital Enterprise

Openstream's EVA is a Context-aware, Multimodal Virtual Assistant Platform that addresses many of the key requirements of Enterprise Line of Businesses (LoBs) and challenges of their IT Departments in implementing their digital strategy and solutions.

Meeting users on their preferred channel, it knows their goals, preferences and priorities, and collaborates with them to deliver an "in-the-moment" personalized experience. As an Assistant, EVA monitors vaious enterprise applications and content sources for events of interest for the users and helps complete tasks without friction in the interaction.

Enterprise Virtual Assistant

Eva™

Openstream's Enterprise Virtual Assistant is a multimodal conversational platform that enables users to interact naturally with various enterprise applications. It automates many routine functions (from simple to complex) and assists users by learning their higher-level goals and context including preferences and priorities.

Features

Virtual Assistant capabilities will help better business outcomes

Multimodal

Responds to voice,touch,vision,gestures and text

Context Aware

Responds to situations and prioritizes, based on user behavior

Intelligent

Underpinned by Conversational AI, Deep Neural Networks and Machine Learning

Multi Channel

Meets users on their preferred channel (web, IM, mobile or social) and is IoT ready

Enterprise Virtual Assistant

EvaCafé™

EvaCafé is a feature rich authoring studio for context-awre multimodal conversation development and deployment across the enterprise, with ready integration to the most popular applications and bots of any knowledge and data-driven organization.

EVA Multimodal AI Platform

for script-less Virtual Assistant Deployment

How can Eva Help?

EVA Significantly Enhances Engagement

Provide unique insights that improve user experience and reduce transaction time

Address user's higher-level goals, not just providing a literal response to queries

Create new opportunities to better serve users with insights gained through Artificial Intelligence (AL) and Machine Learning (ML) techniques

Embrace an agile (iterative, quick, flexible) approach of working and utilize interaction data to drive project decisions and innovation

Build capabilities that can be leveraged repeatedly across various enterprise functions rather than building solutions for each problem

Build and Retain a User genome – Unified representation of the customer persona to provide rich insights and user experience, across channels and functions in the enterprise

Delivering superior experiences that are multimodal and context aware.

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