Quaeris provides an enterprise-ready platform that uses generative AI to deliver trusted, contextual answers from enterprise data and documents via conversational queries. The platform enables users to move from insight to action quickly by integrating data search, reporting, and alerting agents directly into workflows. This capability allows organizations to serve more users with governed, secure access to operational data without increasing traditional BI load.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations struggle to extract actionable insights from both structured data and unstructured documents, leading to delayed decision-making and inefficient workflows. Traditional analytics tools often require specialized skills and fail to integrate diverse data sources, creating silos and limiting broad user adoption.
Solution
Quaeris provides a Generative AI-powered platform that enables users to interact with their data and documents through natural language queries. The platform facilitates the creation of proactive insight agents that can monitor events and deliver alerts, streamlining decision-making processes. It offers secure, private data analysis capabilities tailored for enterprise environments, allowing for the seamless integration of insights into existing applications. Quaeris aims to democratize data access and accelerate the adoption of data-driven strategies across organizations.
Target Audience
The platform targets enterprises and small businesses seeking to enhance data analysis capabilities and enable broader user access to insights, as well as developers looking to embed analytics into their applications.
Features
- Natural language interface for querying structured data and unstructured documents.
- Generative AI-driven agent creation for proactive insights and automated alerts.
- Converged search functionality across disparate data and document repositories.
- Embedded analytics capabilities, allowing for the integration of charts and reports into applications with minimal code.
- Secure and private data processing with enterprise-grade governance.
- Machine learning models designed to minimize hallucinations and ensure data validity.
- Streamlined reporting automation for building, approving, and sharing reports.