Direct Answer

Private AI is AI that runs on your organisation's data inside an environment you control, with your access permissions, so information is not used to train public models or exposed to other users. It typically combines a secure model deployment with a search layer over your documents and systems.

Key Takeaways

Public AI vs Private AI

Common Uses

Where to Start

Choose one knowledge-heavy team and one set of documents, define who can see what, then build. Our internal AI and knowledge systems service covers the architecture and governance.

Frequently Asked Questions

Does private AI mean hosting our own model?

Can private AI respect who is allowed to see what?

Is private AI only for large enterprises?

Related services

Turn the ideas in this article into outcomes with these connected service tracks.

Internal AI & Knowledge SystemsPrivate AI on your own data.Explore

Custom AI DevelopmentBespoke AI applications and integrations.Explore

AI Operating ModelGovernance and structure for AI at scale.Explore

Related reading

Explore more practical guidance from Elevate AI Tech:

Conclusion

Private AI is less about the model and more about control: whose data, whose permissions and whose audit trail. Get those right and AI becomes safe to use across the business.

If you want AI on your own data without losing control of it, talk to Elevate AI Tech about private AI.

Book an AI discovery call

About the author

Sam Sharma

Written by Sam Sharma, founder of Elevate AI Tech. Sam helps businesses use AI, automation, custom software and AI search visibility strategies to remove inefficiencies, improve decision-making and build practical systems for growth.

Want to explore how AI can improve your business operations? Book a consultation with Elevate AI Tech.