Bernie is an AI-powered chatbot that allows users to chat with their own PDF documents. Admins can upload PDFs, and agents can ask questions, get accurate answers, generate summaries, and view complete chat history โ just like ChatGPT, but trained only on your private documents. Built using Laravel (frontend/admin) and Python (AI backend) with RAG (Retrieval-Augmented Generation) and a Vector Database, Bernie delivers secure, fast, and highly relevant responses from uploaded documents.
Innovation Begins HerePrecise Answers. Powered Only by Your Documents.
Our AI-powered document intelligence platform transforms the way organizations interact with their files. By combining conversational AI with advanced retrieval technology, users can instantly extract insights, generate summaries, and search across multiple documents with high accuracy and security. Designed with a ChatGPT-like experience, the system ensures fast, context-aware responses while keeping your data fully private and protected.
Core languages for AI and ML, optimized for performance and scalability.
Bernie is built to seamlessly integrate into your existing digital ecosystem without disrupting current workflows. Whether you use document management platforms, enterprise software, communication tools, or custom authentication systems, Bernie connects smoothly to ensure secure, scalable, and efficient AI-powered document intelligence across your organization.
Amazing people, Pro-active attitude, Super scaling-up abilities, Quality-driven process, Profound technical skills, and Pro Approach are our go-to feedback. Our clients love us, and they always return for any future software development needs. We are proud of every project we have delivered and continue helping our clients scale innovations repeatedly and make their businesses strategically agile.
Get quick answers to common questions and find helpful information to resolve your queries.
Bernie is an AI-powered PDF chatbot that allows users to interact with their private documents through a conversational interface. It enables admins to upload PDFs and allows agents to ask questions, generate summaries, and access chat historyโsimilar to ChatGPT, but trained exclusively on your companyโs documents.
Bernie uses a secure RAG (Retrieval-Augmented Generation) architecture. When a PDF is uploaded, the system extracts and indexes the content using embeddings and a vector database. When a user asks a question, Bernie retrieves the most relevant document sections and generates accurate answers strictly based on uploaded files.
You can upload policies, manuals, contracts, reports, SOPs, and other PDF-based documentation. The system supports multiple documents and allows cross-document search.
No. Bernie generates responses only from the uploaded documents. It does not use public internet data, ensuring high accuracy and zero hallucination outside your knowledge base.
Yes. Bernie stores complete chat history, including timestamps and session data. Users can reopen previous conversations and continue discussions at any time.
Yes. Bernie offers one-click smart summarization for entire documents or specific sections, making it ideal for reviewing long reports and manuals.
Absolutely. Bernie is built with enterprise-grade security, including role-based access control, private document handling, and secure backend architecture. Your data remains within your infrastructure and is not used for public model training.
Bernie is built using Laravel (frontend/admin), Python with FastAPI (AI backend), LangChain, LlamaIndex, OpenAI/Azure OpenAI, FAISS/ChromaDB, PostgreSQL, Redis, Docker, and scalable cloud infrastructure.
Yes. Bernie integrates with document management systems (Google Drive, Dropbox, OneDrive), enterprise tools (CRM, ERP, HRMS), communication platforms (Slack, Microsoft Teams, WhatsApp Business), authentication systems (LDAP, Active Directory, SSO), and analytics platforms.
Bernie is designed for enterprises and organizations that need a secure, internal AI knowledge assistant to search, summarize, and interact with private documents efficiently.
Duration 6 months
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