Pulse Private AI
Secure Retrieval-Augmented Generation (RAG) for Your Enterprise Data
Empower your organization to chat with internal knowledge bases, contracts, and documentation safely. GDPR-compliant, lightning-fast, and tailored to your specific infrastructure.
Why Enterprise RAG Matters
Standard AI chatbots send your queries to external public servers, posing massive risks for confidential corporate data. Furthermore, generic LLMs lack the specific context of your company's internal documents, policies, and workflows.
Retrieval-Augmented Generation (RAG) solves this by creating a secure bridge between your private data and advanced AI models. It retrieves exact passages from your uploaded documents to construct precise, cited answers, all while keeping your data strictly isolated.
Context-Aware Answers
Responses are strictly grounded in your specific documents and data sources.
Source Citations
Every answer is backed by traceable links to the source files, ensuring auditability.
Data Sovereignty
No third-party training. Your intellectual property remains exclusively yours.
Seamlessly connect and sync backend data sources like SharePoint, Confluence, internal databases, or file servers automatically—no manual uploads required.
Finds documents based on conceptual meaning and context, not just exact keyword matches.
Role-based access control (RBAC) ensures users only query documents they are authorized to see.
High-performance vector indices ensure sub-second response times even for massive datasets.
Implementation & Customization Services
As Enterprise IT consultants, we don't just sell software. We deliver end-to-end integration and custom tuning tailored to your corporate environment.
Managed Cloud SaaS
Fast, hassle-free hosting managed by us. Connect to Pulse Private AI via secure portals, with encrypted databases and dedicated instances for your organization.
Flexible Deployment (Cloud & On-Prem)
We can deploy the entire Pulse Private AI architecture directly inside your Microsoft Azure subscription or host it entirely On-Premise on your own hardware. Your data remains strictly within your security boundaries.
Custom AI Integrations
Integration of the RAG engine API with your CRM, ERP, internal Wiki, or Slack/Teams bots. We build the connectors to bring AI directly to where your teams work.
Cloud-Native Architecture
Built with Docker, microservices, and modern orchestration tools, ready to scale automatically to thousands of documents.
Zero-Trust & Compliance
Strict encryption in transit and at rest. Configured in alignment with ISO 27001 and GDPR standards for enterprise security.
Flexible LLM Connectors
Compatible with Azure OpenAI, local open-source models (like Llama 3), or custom fine-tuned models depending on your security policy.
Technical Architecture & Security
Pulse Private AI is engineered with security and flexibility at its core. Our pipeline converts text from your documents into high-dimensional vector embeddings, which are stored in a dedicated vector index.
When a user searches or asks a question, the platform identifies the most relevant text segments and feeds them into the Large Language Model alongside the user prompt. This process guarantees that the AI generates highly accurate, factual responses without hallucinations.
Bring RAG AI to Your Enterprise
Contact us today to discuss your requirements, request a custom demo using your own documents, or get a quotation for an Azure deployment.