Conversational AI
Conversational AI services for chat and voice assistants
Conversational AI lets customers and employees talk to your systems in natural language, by chat or voice, across websites, apps and internal platforms. HabileLabs designs and builds these assistants on large language models, grounded in your own documents and connected to the workflows behind them.
- Chat, voice and omnichannel
- Multilingual assistants
- Built on LLMs and Amazon Bedrock
What we build
Chatbots, voice assistants and the models behind them
We build for healthcare, banking and finance, retail, travel and telecom, shaped to each industry's customer experience.
Conversational AI design
Agent personas, conversational tools and NLP-driven dialogue management for context-aware, personalized responses.
Voice assistant development
Voice assistants built around your workflows for hands-free query resolution across websites, apps and internal platforms.
Custom conversational models
Open-source and commercial LLMs trained on your data and domain for multi-step, context-aware conversations.
Retrieval-augmented generation
Retrieved documents and queries feed the language model, so answers are accurate and specific to your domain.
Generative AI in conversations
GenAI workflows inside conversational pipelines for dynamic content and automated customer service operations.
Generative AIAmazon Bedrock for LLM integration
Pre-trained LLMs from Amazon Bedrock in your applications for text generation, question answering and code generation.
AWS AI services
Use cases
Four problems conversational AI solves
Where chat and voice assistants earn their place, with examples from work already in production.
Automated customer support and service
Assistants answer routine questions around the clock. At GradientLabs, AI-driven responses cut first response time from hours to under a minute.
Personalized engagement at scale
Responses adapt to each customer's history, queries and behavior, as in HabileSoft India's Ozoo.ai deployment.
Lead generation and sales
Assistants capture, manage and nurture leads from customer conversations, building a lead database for future outreach.
Employee productivity
Support teams find technical documents, product manuals and troubleshooting guides by asking, which reduces resolution times.
Why enterprises work with us: multilingual and omnichannel support, domain-specific customization, secure and compliance-ready builds, and continuous optimization after launch.
Technical capabilities
The NLP, speech and channel tooling we use
From dialogue design and model training to speech, mobile apps and delivery pipelines.
Conversational AI and NLP
Pipelines for sentiment analysis, summarization and adaptive dialogue flows.
LLMs and deep learning
Integrate and train LLMs and custom domain models for context-aware conversations.
Cloud-native deployment
Scalable deployment with speech-to-text, IVR and multichannel integration.
Web and voice interfaces
Conversational UIs, extended with voice through speech APIs.
Mobile conversational AI
Voice and chat assistants inside mobile apps for real-time engagement.
DevOps and MLOps
Fast, repeatable delivery of conversational models.
Our own product
Ozoo.ai, the conversational AI product we build and run
A product HabileLabs builds and runs itself, for teams that want a ready-made starting point.
Voice and chat agents
Voice and chat AI agents in 12+ Indian languages. Frontline teams handle 4× more customer queries daily.
No-code AI agent
Built in 3 clicks, with multilingual support, for websites, apps, Microsoft Teams and Slack.
Where teams use it
Customer support, lead capture and knowledge search.
Client results
AI support we have put into production
Conversational AI FAQs
Questions about conversational AI
Short answers for teams planning a chatbot or voice assistant.
Conversational AI services design, build and run chatbots and voice assistants that understand natural language and respond in context. HabileLabs covers dialogue design, language models, RAG over your content and integration with your systems.
Yes. With retrieval-augmented generation, the assistant retrieves the relevant documents and passes them to the language model, so answers are accurate and specific to your domain.
Yes. We build voice assistants for websites, apps and internal platforms, using speech services such as Amazon Polly, Google speech-to-text and Azure Speech, with IVR integration.
We build multilingual assistants. Our own Ozoo.ai product runs voice and chat AI agents in 12+ Indian languages.
Yes. Ozoo.ai, which HabileSoft India uses for customer support, runs on Amazon Bedrock with Anthropic Claude models and connects to websites, help desks, Slack and Teams.
Responses are grounded in approved content, and agent behavior can be monitored in real time for privacy and brand safety. Ozoo.ai supports compliance with standards such as GDPR.