ZENIUS

Zenius IT Services Pvt Ltd

@zeniusit

HYDERABAD, TELANGANA
https://www.zeniusit.com
IT Services and IT Consulting

Overview

About Zenius IT Services Pvt Ltd

Zenius IT Services is a technology partner specializing in AI-powered digital transformation for Healthcare, Contact Centers, and Enterprise Automation.

We build intelligent platforms that accelerate operational efficiency and elevate customer and patient experiences:

Zenius HealthAI — an all-in-one healthcare automation and patient-engagement platform featuring AI diagnostics, scheduling, telehealth integration, EHR capabilities, omnichannel communication, and real-time analytics.

Zenius VoiceIQ — an enterprise Voice AI engine delivering real-time transcription, sentiment analysis, speech analytics, QA automation, agent coaching, and CRM-integrated insights.

CRM Softphone — a unified telephony and communication solution integrated with Salesforce, Dynamics 365, Zoho, and more.

We also provide custom software development, AI/ML engineering, enterprise integrations, contact center consulting, and end-to-end implementation across Avaya, Cisco, Genesys, Amazon Connect, RingCentral, and other CCaaS platforms.

At Zenius, our commitment is simple:
Build intelligent, reliable, secure solutions that solve real-world problems and help enterprises thrive in the AI-native era.

Headquarters

HYDERABAD, TELANGANA

Website

https://www.zeniusit.com

Company Size

51-200 employees

Industry

IT Services and IT Consulting

Company Type

Privately Held

Founded

2026

Specialties

AI, ML, Conversational IVR, BOTS, Verint, Application Development, Full Stack, Natural Language Processing (NLP), Sentiment Analysis, Predictive Analytics, Real-time AI Automation, CCaaS Platform Implementation (Avaya, Cisco Webex CC, Genesys Cloud, Amazon Connect, Five9, Nice CXOne, Verint), Omnichannel Communication Systems, Real-time Speech Analytics, Salesforce Integration & Development, Zoho CRM, Microsoft Dynamics 365, Custom CRM Development, EHR Integration (EPIC, Cerner), and Patient Management Systems

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