Chatbots & Conversational AI
Generic chat on your product is a gimmick. We build grounded, context-aware conversational AI that answers from your documentation, your data, and your systems, with streaming and citations included.
01Overview
We've shipped conversational AI across healthcare, HR, coaching, and product support. The throughline: bots that are grounded in real documents, keep conversation history, cite their sources, and know when to escalate.
02Why choose this service
01
RAG-powered answers with citations. No more 'the AI made it up.'
02
Users see responses word by word, with session persistence and full conversation history.
03
OpenAI, Anthropic, Google, or open-source, swapped without a product rewrite.
04
Widget for websites, full chat UI for products, or REST API for backend integrations.
03How we work
01
What docs, FAQs, or data sources should the bot use? How should they be chunked and indexed?
02
Grounding strategy, citation style, conversation memory, and escalation rules.
03
Ship a working prototype. Test on real user questions. Iterate the retrieval quality.
04
Embed in your product, track sessions, and feed failed queries back into improvements.
04Applications
05Technologies
06Case study
RAG + Streaming
grounded coaching with source citations
The problem
Users needed conversational access to the MindTime knowledge base with coaching-style responses, not generic answers.
The result
RAG-powered AI coach with session context, built-in citations, HTML-formatted replies, and customizable prompts per user.
07FAQ
Yes. We ingest PDFs, DOCX, CSVs, web pages, and structured data, then serve them through a RAG pipeline with proper access control.
Supported. We've shipped bots with audio transcription, multimodal image inputs, and voice output.
We ground responses in your source documents with retrieval, return citations, and use strict prompting to refuse questions outside the knowledge base.
08Explore more
OCR, vision-based extraction, and multi-step LLM parsing to turn documents into structured data and automated downstream workflows.
Video analysis, object detection, face recognition, and multimodal image pipelines for surveillance, inspection, and creative generation.
AI-assisted pipelines to ingest, classify, and analyze large datasets. From ETL and classification to dashboards and predictive analytics.
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