Samprakshi Infinity Solution

NLP & Chatbot Solutions

Build conversational AI: intent understanding, entity extraction, dialog management, RAG-powered answers and multi-channel deployment.

Showcase 1

Intent Recognition & NLU

Accurate intent classification and natural language understanding pipelines to route user requests and trigger downstream actions.

IntentNLU
Trusted by clients

Entity Extraction & Slot Filling

High-precision entity and slot extraction (NER, custom entity types) with post-processing to normalize and validate extracted values.

EntitiesNER
Trusted by clients

Dialog Systems & Context Management

Multi-turn dialog architectures with context tracking, state management, fallbacks and handoffs to human agents when needed.

DialogContext
Trusted by clients

Retrieval-Augmented Generation (RAG)

Combine vector search over your knowledge base with LLMs to produce accurate, grounded answers and reduce hallucination in conversational flows.

RAGKnowledge
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Multilingual & Voice Assistants

Support for multiple languages, locales and voice channels with optional speech-to-text and text-to-speech integrations.

MultilingualVoice
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Deployment & Monitoring

Channel integrations (web, mobile, WhatsApp, IVR), scalable deployment and conversation monitoring with metrics and alerts.

DeployMonitoring
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Frequently asked questions

We work with open-source and hosted LLMs and support multilingual pipelines; choice depends on latency, cost and data privacy requirements.
We use RAG with vetted knowledge sources, prompt engineering, and grounding strategies to ensure responses are supported by your data.
Yes — we build secure connectors to CRMs, databases and APIs so bots can fetch user data, create tickets or trigger workflows.
We track metrics like intent accuracy, task completion rate, fallback rate, average handling time and user satisfaction to evaluate effectiveness.
We implement data minimization, encryption, consent capture and can deploy on-prem or in VPC environments to meet compliance needs.