Build Dynamic Voice AI Agents Effortlessly !
Automate lead gen, collections & support with CubeRoot Voice AI – human-like, multilingual, and enterprise-ready in seconds.
CubeRoot : Voice AI That Works Like Your Best Agent, at Scale
Overcome language barriers, high costs, and inadequate support, ensuring top-notch customer and citizen experiences. Build tailored Gen AI Voice Agents/bots, providing 24/7 assistance, cutting operational costs, ensuring security, and delivering scalable intelligent interactions.
Conversational Intelligence
Enabling enterprises to engage customers with natural, human-like voice interactions
Human-like Dialogue
CubeRoot Voice AI Agents replicate real conversations with contextual understanding, natural intonation, and support for multiple Indian languages. This ensures customers feel heard, understood, and valued at every touchpoint.
Smart Industry Workflows
Pre-built call flows designed for NBFCs, consumer durables, e-commerce, and telecom accelerated deployment. Enterprises can launch use-case–specific agents for lead qualification, collections, or service calls without lengthy setup.
Scalable Conversations
Whether it’s 1,000 calls a day or 100,000, CubeRoot scales effortlessly. Enterprises can handle peak loads, nationwide campaigns, or seasonal demand surges without overworked calling teams or ballooning costs.
Operational Agility
Optimizing costs and boosting performance across customer engagement
Faster Lead Handling
CubeRoot qualifies and routes leads instantly, ensuring sales teams focus only on high-value prospects while reducing manual effort.
Cost Efficiency
Enterprises achieve up to 40–60% savings in call operations by automating repetitive tasks like reminders, verifications, and FAQs.
Rapid Deployment
With intuitive configuration and integration into CRMs and dialers, Voice AI Agents can go live in days, not months—helping businesses capture opportunities faster.
Enterprise Readiness
Secure, compliant, and designed for mission-critical deployments
Data Security
End-to-end encryption, secure hosting in India, and role-based access ensure compliance with RBI and enterprise IT policies.
Omnichannel Presence
Voice AI Agents operate seamlessly across IVR, outbound calls, WhatsApp, web, and mobile—providing consistent experiences everywhere.
Customizable Personas
Voices can be tuned to reflect brand tone, language preference, and regional nuance, making interactions feel personalized and authentic.
Amplify the Power of CubeRoot with Advanced AI Modules & Integrations
CubeRoot’s suite of AI modules and integrations is purpose-built to elevate your Voice AI Agents, delivering deeper automation, faster response times, and seamless enterprise connectivity for superior customer experiences.
Speech-to-Text
(STT)
Reverie's Speech-to-Text API empowers IndoCord by converting spoken words into text, enhancing the platform's voice bot capabilities.
- Accurate Transcription: Enables voice interaction, converting spoken commands into accurate text inputs for bots.
- Seamless Voice Integration: Enhances user experience by enabling natural voice interactions within chatbots.
- Multilingual Support: Ensures effective communication by transcribing multiple Indian languages accurately.
Text-to-Speech
(TTS)
Reverie's Text-to-Speech API enriches IndoCord by converting written text into spoken words, enhancing the platform's voice capabilities.
- Adaptive and Real-time Processing: Employs adaptive technology for real-time processing, ensuring dynamic adjustments to pacing, tone, and emphasis.
- Customizable Voice Generation: Allows businesses to tailor voice outputs (male/female voices) according to brand requirements.
- Multiple Language Support: Delivers spoken content in various languages, broadening reach and accessibility.
Conversation Orchestration
Cuberoot’s Conversation Orchestration engine empowers enterprises by seamlessly connecting the Voice AI Agent with backend systems, ensuring every interaction leads to smart, outcome-driven actions.
- Workflow Automation: Triggers actions such as updating CRM records, sending reminders, or raising service tickets directly from conversations.
- System Integration: Connects smoothly with dialers, CRMs, payment gateways, and ticketing platforms for end-to-end automation.
- Context Preservation: Maintains conversational context across multiple touchpoints, enabling smooth handovers between human agents and AI.
Neural Machine Translation (NMT)
Reverie's Neural Machine Translation API enriches IndoCord by facilitating seamless translation between languages.
- Efficient Language Translation: Allows for fluid communication by translating text inputs accurately.
- Cross-Lingual Conversations: Enables multilingual bots, fostering communication across diverse language speakers.
- Real-time Translation: Facilitates instantaneous translation, enhancing multiregional user engagement.
Analytics & Reporting
Cuberoot’s Analytics and Reporting module transforms call data into actionable business intelligence, helping enterprises optimize performance and outcomes.
- Real-time Dashboards: Track live call metrics such as duration, response rates, and resolution outcomes.
- Performance Insights: Identify patterns in lead conversion, collections efficiency, and customer sentiment.
- Data-driven Decisions: Enable business leaders to refine strategies with clear visibility into agent performance and ROI impact.
Engage Customers with Human-like Voice Conversations, at Scale
Cuberoot Voice AI Agent delivers 24/7 automated calling, enabling enterprises to reach, qualify, and support customers in their preferred language — faster, smarter, and more cost-efficient.
Design
Deploy
Integrate
Test
Go Live
All in 14 Days
77%
Increase in Customer Reach
80%
Leads Qualified within Minutes
60%
Reduction in Calling Costs
50%
Improvement in Customer Satisfaction
87%
Reduction in Scalability
Experiences Designed to Engage, Every Step of the Way.
For banks and financial institutions, technology investments hinge on several key criteria: flexibility, customization capabilities, process automation, 99% uptime, the technology partner’s in-house tech-stack and proven industry experience. Voice AI Agents, in particular, have demonstrated their capability in automating repetitive queries, lead generation, and lead qualification. As AI models continue to learn and evolve, these agents will be able to handle more complex customer queries in the future.
Tarun K
Head of Strategic Projects & Alliances at a leading Indian bank
Go Beyond Automation with Cuberoot!
Turn every call into a growth opportunity with next-gen Voice AI Agents.
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FAQs
How is a Voice AI Agent different from traditional IVR or chatbots?
Unlike rigid IVR trees or rule-based chatbots, Voice AI Agents use advanced natural language processing (NLP) to understand context, intent, and emotions – enabling human-like, dynamic conversations at scale.
Can Voice AI integrate with our existing CRM, dialer, or backend systems?
Yes. Voice AI Agents are built to integrate seamlessly with your tech stack – including CRMs, dialers, lead management systems, and payment gateways – enabling end-to-end workflow automation.
What kind of use cases can Voice AI Agents handle?
Voice AI Agents can manage lead generation, qualification, payment reminders, collections, customer support, feedback calls, onboarding assistance, and more – across multiple languages and regions.
How does it handle failed or sensitive conversations?
The system flags sensitive or unresolved conversations in real-time and can escalate them to human agents or trigger fallback workflows based on pre-set rules and sentiment analysis.
What kind of reporting or insights do we get from Voice AI?
Enterprises get call-level analytics, conversion tracking, sentiment scoring, quality assessments, and dashboard-based performance reports – all designed to optimize campaigns and agent behavior.
How does deploying a Voice AI Agent impact call center operations and cost?
Voice AI Agents reduce reliance on human calling teams by automating high-volume conversations – such as lead follow-ups, EMI reminders, and payment collections. Enterprises see up to 60% reduction in calling costs, 3x improvement in call throughput, and zero agent fatigue – all while scaling to millions of calls per month with consistent quality.
