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ACCELERATE AIWITH TRUST

DeepAstra is the sovereign AI platform for enterprises and governments to build, deploy, and govern private AI on infrastructure they control.

Trusted byNVIDIA
What We Enable

Build AI Faster. Keep It Private.

We bring infrastructure, models, governance, and application tooling into one platform so teams can move from pilot to production without giving up privacy or control.

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SAFE Lab™

Research that makes private AI deployable.

DeepAstra's applied research initiative for systems that can be governed, audited, and deployed inside sovereign, mission-critical environments.

Platform

Accelerate the full AI lifecycle

DeepAstra brings infrastructure, models, governance, and tooling into one operating layer so teams can build and deploy private AI faster.

Infrastructure Platform

Infrastructure

Private AI infrastructure for training, inference, and deployment inside your trusted environment.

AI Models Platform

AI Models

Deploy, adapt, and operate leading models with the control required for enterprise and government use.

Governance Platform

Governance

Built-in guardrails, oversight, and auditability to keep AI trustworthy, compliant, and secure.

AI Studio Platform

AI Studio

A unified workspace to build, test, evaluate, and ship AI applications faster.

Partners

Our partners and investors

Meet the innovators and leaders helping shape the future of sovereign AI with DeepAstra.

Google
NVIDIA
Omantel
OTech
Huawei
Oman Data Park

Frequently Asked Questions

Everything you need to know about the product and billing.

What is DeepAstra?
DeepAstra is a sovereign AI platform designed to give enterprises complete control over their AI infrastructure, models, and data. We provide the tools to build, deploy, and scale AI applications without compromising privacy or security.
Who is DeepAstra for?
DeepAstra is built for organizations prioritizing data sovereignty, security, and compliance. This includes mission-critical sectors like Banking & Finance, Healthcare, Defense, Government, and any enterprise ready to scale their AI capabilities safely.
What type of hosting and deployment do you support?
We specialize in fully isolated sovereign deployments. This includes on-premise setups, air-gapped environments, and private sovereign cloud infrastructure. Your data never leaves your perimeter, and you maintain complete authority over your models.
Do I need my own AI models to use DeepAstra?
No, DeepAstra provides access to a curated selection of state-of-the-art LLMs and foundational models out-of-the-box. However, our platform is also model-agnostic, allowing you to seamlessly integrate, fine-tune, and deploy your own proprietary models.
What are open-source AI models, and how do you use them?
Open-source AI models (like Llama or Mistral) are powerful, publicly available models developed by top research teams. DeepAstra allows you to securely download and run these cutting-edge models entirely within your own private environment. This means you get world-class AI intelligence, but without ever having to share your sensitive data with external companies or APIs.
How can I ensure the quality compares to ChatGPT or Gemini?
Unlike other platforms, DeepAstra never connects to public AI APIs like ChatGPT or Gemini. Instead, we deploy powerful open-source SLMs and LLMs directly within your private infrastructure. By securely connecting these models to your internal company data (via RAG) and fine-tuning them on your specific use cases, the output quality often outperforms public AI models because it is deeply tailored and highly contextual to your business.
How does DeepAstra handle data privacy and security?
Security is foundational to DeepAstra. We enforce strict data sovereignty—meaning your data is never used to train external models or shared with third parties. We also provide comprehensive governance frameworks to ensure ethical AI compliance and role-based access control.

Build With Confidence

Build private AI faster.

DeepAstra helps you accelerate AI development with governance, trust, and private deployment built in from infrastructure to application layer.