70% of organizations cite data privacy as a top concern when adopting AI. For enterprises handling sensitive data, secure, private AI isn’t optional—it’s essential. Imagine leveraging generative AI without external cloud risks.
Amlgo Labs On-Prem GenAI Bot makes this a reality. It operates entirely within your secure network, ensuring sensitive data never leaves your environment. This is the future of enterprise AI—powerful, private, and risk-free.
Amlgo Labs GenAI is an on-prem AI chatbot with pre-trained knowledge ensuring secure and private interactions without relying on external services. It processes internal documents by extracting, cleaning, and structuring data to train and fine-tune a custom AI model. Once trained, the chatbot is deployed locally, allowing users to interact through a web interface, command-line tool, or chat-based application. The system is optimized for performance with efficient inference and retrieval capabilities while maintaining strict security controls. This approach provides enterprises with a reliable, scalable, and privacy-focused AI solution.
It excels in seamlessly extracting text from PDFs using pdf-parse, performing optical character recognition (OCR) on images through Tesseract.js, and efficiently parsing spreadsheets via xlsx and csv-parser, ensuring comprehensive data ingestion from diverse document types.
An advanced AI Chatbot powered by LLaMA3, enabling it to interpret user queries, intelligently retrieve pertinent information from associated documents, and deliver sophisticated AI-generated responses.
Amlgo Chatbot features a User-Friendly Frontend, built with React.js, providing an intuitive interface for efficient document management, streamlined search capabilities, and seamless interactions with the AI chatbot. This design prioritizes ease of use, ensuring a productive and accessible user experience.
On-Prem AI Chatbot utilizes ChromaDB to store document embeddings for rapid similarity searches. Sentence Transformers are leveraged to generate these embeddings, ensuring precise and efficient information retrieval, enhancing the chatbot's ability to deliver relevant responses.
Prioritizes data security with Secure Authentication & Access Control, integrating Keycloak to provide robust user authentication, ensuring that only authorized personnel can access and interact with the system. This implementation safeguards sensitive information and maintains stringent security protocols.
Reduces cloud API costs with a one-time hardware investment, ensuring long-term savings and optimized resource usage.
Keeps sensitive data on-premises, ensuring compliance with GDPR, HIPAA, and enterprise security policies while preventing data leaks.
GPU-accelerated processing enables real-time AI responses with fast document retrieval and query execution.
Fine-tunes AI models on enterprise data, integrates seamlessly with ERP/CRM tools, and scales with Kubernetes/Docker.
Automates document processing, enhances knowledge retrieval, and reduces manual effort, boosting employee efficiency.
Supports AI advancements, allows hardware upgrades, and ensures uninterrupted operations even without internet access.
| Feature | Amlgo Gen-AI Bot | Traditional RAG Systems | Cloud-based AI APIs |
|---|---|---|---|
| Processing Speed | Fast | Moderate | Variable (depends on API) |
| Data Security | On-premise option | Limited | Data sent to cloud |
| Customization | Highly customizable | Somewhat | Limited customization |
| LLM Hosting | Local & API options | Mostly API | API-based |
| Cost | One-time infra cost | Moderate | Recurring API costs |
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