AscendIQ

Why Ascendiq?

Every enterprise struggles with the same challenge: surfacing the right information at the right time, especially across massive datasets and knowledge silos. AscendIQ solves that problem with a private, secure, enterprise grade AI assistant trained on you r internal documents, systems, and rules of engagement. Built on top of a vector database, AscendIQ enables natural language search and contextual retrieval across policy documents, playbooks, PDFs, and emails, delivering precise, explainable answers not just keywords. It integrates directly with your existing systems and can even be embedded as an interactive chat experience inside your web apps or portals, making AI help available anywhere your teams or customers need it. Whether you're building an internal knowledge assistant, a client-facing support bot, or a domain-specific AI co-pilot, AscendIQ delivers scalability, security, and transparency out of the box. It's LLM-native knowledge orchestration, tailored for enterprise.

Security, Compliance, and Deployment

Private Cloud Deployment: Runs in the client’s own Azure or AWS environment, ensuring complete data sovereignty.

SSO with Microsoft Entra / Active Directory: Authenticates users via enterprise-grade security protocols.

Role-Based Access Control (RBAC): Administrators can assign roles (e.g., Admin, Contributor, Viewer) to manage permissions at user, group, or document-library levels.

Network Isolation & Private Access: Designed for secure, internal only usage, including secure blob storage and encrypted document ingestion pipelines.

‍

Core Chatbot & Search Functionality

AI-Powered Natural Language Search: Uses vector embeddings for querying internal documents and knowledge bases with high semantic accuracy.

Chatbot with Document Context: Users can ask questions about individual or multiple documents and receive summarized or detailed responses.

Embeddable Chat Experience: Chatbot can be embedded in any internal web page or application via a secure <script> tag, making AI assistance omnipresent across your enterprise.

‍

Document Ingestion & Management

Multi-format Support: Accepts PDFs, DOCX, TXT, CSV, and more for ingestion and processing.

Content Library Management: Organizes uploaded documents into logical libraries with metadata tagging.

Document Parsing and Reference Linking: Structured extraction with anchoring to source material (e.g., sections, tables, line numbers).

Version Control & Upload Status: Track upload progress and version history for all documents.

‍

Integration & Interoperability

RAG Pipeline (Retrieval Augmented Generation): Supports document ingestion from SharePoint and other document management systems with automation triggers.

Web Search (v1): Augments chat responses with real-time public web data using trusted sources like Brave Search.

Upcoming API Access: Plans to expose REST APIs for document upload, chatbot conversation, and admin features.

‍