Voice Assistant Development

Design and deploy chatbots and voice agents across platforms like websites, mobile apps, IVRs, WhatsApp, Slack, and Microsoft Teams. We integrate NLP engines, TTS, ASR, and backend systems for seamless two-way communication.

LLM-Powered Conversational Interfaces

Build dynamic, long-context conversations using LLMs like GPT-4, Claude, or LLaMA. We optimize prompts, memory, and context injection to reduce hallucinations and improve task completion rates across use cases.

Dialog Management

Use frameworks like Rasa, Dialogflow CX, and Botpress to manage multi-turn conversations, fallback handling, and goal-based navigation. We implement hierarchical intent trees, confidence thresholds, and contextual slot filling.

Multimodal Capabilities

Enable voice and text support across 100+ languages using services like Amazon Polly, Google TTS, and Whisper. We integrate visual UIs, image inputs, and gesture recognition for richer user interaction in complex domains.

Enterprise Backend and API Integration

We connect your conversational interface to CRMs, ERPs, ticketing systems, and custom APIs. Our bots perform transactions, fetch data, update records, and trigger workflows in real-time.

Sentiment Detection

Enhance interactions with sentiment-aware responses using tools like Azure Sentiment API, Google Cloud Natural Language, and IBM Tone Analyzer. Bots adapt tone and escalation based on user mood.

Governance, Compliance, and AI Safety

Ensure safe, compliant deployments with role-based access, redaction policies, and monitoring layers. We build guardrails using safety classifiers, PII masking, and abuse filtering systems.