Fabric AI provides an enterprise‑grade AI platform that connects directly to a company’s internal data sources and uses live indexing and advanced reasoning to answer complex, technical questions in real time. The solution is built with zero‑trust security, end‑to‑end encryption, and offers on‑premises or private cloud deployment, ensuring full data ownership and control for mid‑size to large enterprises.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often have large amounts of internal data that are siloed, unstructured, or difficult to query with modern AI tools, leading to missed insights and inefficient workflows. Additionally, concerns about data security, privacy, and ownership hinder adoption of external AI services.
Solution
Fabric AI offers an enterprise‑grade AI platform that connects directly to a company’s own data sources and provides advanced reasoning and live indexing capabilities to answer complex, technical questions. The system is designed with zero‑trust security, strong authentication, and end‑to‑end encryption, ensuring that data never leaves the organization’s control. Customers can deploy the platform on‑premises or in their preferred cloud environment, maintaining full ownership of their data and models. By delivering accurate, context‑aware answers in real time, Fabric AI enables employees to retrieve actionable insights without manual data wrangling or reliance on external services.
Target Audience
Primary customers are mid‑size to large enterprises seeking to empower knowledge workers, analysts, and support teams with AI‑enhanced access to their proprietary data.
Features
- Live indexing engine that continuously ingests and structures internal documents, databases, and knowledge bases for instant retrieval
- Advanced reasoning layer capable of handling technically complex queries across heterogeneous data sources
- Zero‑trust security architecture with strong authentication, role‑based access control, and data encryption at rest and in transit
- Flexible deployment options: on‑premises, private cloud, or public cloud, allowing full control over infrastructure and data residency
- Full data ownership model ensuring that all processed information remains within the customer’s environment
- API and integration hooks for embedding AI‑driven search and assistance into existing enterprise applications and workflows