GT Edge AI provides the GT AI Operating System, an enterprise platform that lets regulated organizations deploy private AI models behind a web‑based control panel with role‑based access, observability, billing dashboards, and an immutable audit trail. The OS can be consumed as a managed SaaS from CMMC‑compliant US data centers or installed on‑premise, workstations, and NVIDIA DGX systems, supporting no‑code agents, RAG pipelines, and local LLMs while keeping all data in‑house.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations in regulated sectors and education often face barriers to adopting AI because commercial models require data to be sent to external services, lack granular access controls, and involve complex deployment and compliance processes.
Solution
GT Edge AI offers the GT AI Operating System, an enterprise software platform that enables private AI deployment with a user‑friendly web interface. The system provides role‑based access to agents, models, and datasets, along with observability, billing dashboards, and an immutable audit trail for full governance. It can be consumed as a managed SaaS service from CMMC‑compliant US data centers or installed locally on workstations, on‑premise servers, and cloud environments, including NVIDIA DGX Spark and other DGX systems. The platform supports no‑code agents, Retrieval‑Augmented Generation, and both local and external LLMs while keeping all data processing in‑house. Professional services and implementation support guide customers through strategy, governance, and AI service creation, accelerating safe AI adoption in high‑risk use cases.
Target Audience
Primary customers are regulated enterprises such as defense contractors, cybersecurity firms, and educational institutions (K‑12 and higher education), as well as managed service providers seeking to deliver private AI solutions.
Features
- Web‑based control panel with RBAC for agents, models, and datasets
- Immutable audit trail and financial metrics for compliance reporting
- Out‑of‑the‑box no‑code agents, RAG pipelines, and private AI web search
- Deployable as managed SaaS or on‑premise on workstations, servers, NVIDIA DGX Spark, and other DGX OS systems
- Integrated observability and billing dashboards for usage monitoring
- Built‑in AI safety guardrails and data‑privacy safeguards; no data is used for external model training
- Service Provider Edition enables MSPs to package and sell subscription AI services
- Open‑source community version available for Ubuntu x86, NVIDIA DGX OS 7, and Apple Silicon