Btbtech provides on‑premise AI software that can operate in air‑gap environments, enabling highly regulated enterprises and public sector organizations to apply advanced document and knowledge management without exposing data to external networks. Their AI Nucleus platform ingests and deduplicates data from diverse sources, consolidates it into a single knowledge base, and uses a hybrid large‑language‑model decision engine with role‑based access control to deliver secure, intelligent insights within the protected perimeter.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises and public sector organizations with strict confidentiality requirements cannot adopt modern AI-driven document and knowledge management solutions because most offerings rely on cloud services or lack isolation from external networks.
Solution
Btbtech develops AI software that runs entirely on‑premise and is compatible with air‑gap environments, allowing highly regulated institutions to apply advanced artificial‑intelligence capabilities without exposing data to external networks. Their AI Nucleus platform aggregates scattered documents, data, and knowledge assets into a unified, intelligent core. An analytics ingestion pipeline extracts content, while proprietary deduplication algorithms ensure a single source of truth. A hybrid large‑language‑model decision engine processes queries and generates insights within the secure perimeter. Role‑based access control enforces hierarchical permissions, and the solution can be deployed behind an air‑gap to meet the highest privacy standards.
Target Audience
Primary customers are large corporations, government agencies, and regulated industries (e.g., finance, defense, healthcare) that require on‑site AI processing and strict data isolation.
Features
- On‑premise installation with full air‑gap compatibility for isolated networks
- Scalable ingestion pipeline that extracts and normalizes data from heterogeneous sources
- Content deduplication algorithms that create a consolidated, single‑view knowledge base
- Hybrid LLM decision layer that combines statistical models with rule‑based logic for secure inference
- RBAC‑based hierarchical access control to restrict document visibility and actions
- Modular architecture designed for integration with existing enterprise systems