Ask2 offers an AI‑powered conversational platform that lets users ask natural‑language questions and receive concise, context‑aware answers drawn from their own data sources such as document repositories, knowledge bases, and APIs. The solution provides real‑time responses with source citations, role‑based access controls, and analytics, and can be embedded via API or SDK for knowledge‑intensive teams.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations and individuals often need quick, accurate answers to domain‑specific questions but must search through multiple documents, databases, or web sources, which is time‑consuming and prone to errors.
Solution
Ask2 provides an AI‑powered conversational platform that lets users ask natural‑language questions and receive concise, context‑aware answers drawn from their own data sources. The system integrates with common document repositories, knowledge bases, and APIs, using large language models fine‑tuned to retrieve and synthesize relevant information. Answers are delivered in real time through a web interface or chat widget, with options to cite source material and export results. Administrators can manage access controls, customize the knowledge scope, and monitor usage via an analytics dashboard.
Target Audience
Primary users are knowledge‑intensive teams such as customer support, product development, and research groups that need fast access to internal information.
Features
- Natural‑language query interface with instant, AI‑generated responses
- Connectors for popular document storage services (e.g., Google Drive, SharePoint, Confluence)
- Source citation and traceability for each answer
- Role‑based access control and data privacy settings
- Usage analytics and performance monitoring dashboard
- API and SDK for embedding the chat experience into existing applications