---
title: Private AI for enterprises
description: Private AI built for one company, from the hardware to the model provider to where the data lives. Cited answers, set permissions, delivered in weeks.
canonical: https://privatesuperintelligence.si/enterprise/
last-updated: 2026-10-15
---

# Private AI for enterprises

Private SuperIntelligence is private AI for enterprises that handle sensitive information. Each deployment is built for one company, from the hardware to the choice of model provider to where the data is stored, and it works across the company's own email, documents and data.

## Why enterprises need private AI

Your teams already use AI. The question is whose terms the company's information sits under when they do.

- IBM's 2025 Cost of a Data Breach Report found that shadow AI, meaning unapproved AI tools employees use on their own, added **USD 670,000** to the average breach cost. ([IBM, 2025](https://www.ibm.com/think/x-force/2025-cost-of-a-data-breach-navigating-ai))
- In the same report, **97%** of organizations with an AI-related security incident lacked proper AI access controls, and **63%** of breached organizations either don't have an AI governance policy or are still developing one. ([IBM, 2025](https://www.ibm.com/think/x-force/2025-cost-of-a-data-breach-navigating-ai))
- Samsung banned generative AI tools after engineers pasted source code into ChatGPT in April 2023. ([How to keep company data private when using AI](/blog/keep-company-data-private-with-ai/))

Private SuperIntelligence gives the company the most capable AI on its own information, so people stop routing work around the rules.

## What it does for an enterprise

- **Answers with citations:** questions answered across the company's email, documents and data, with every answer cited to its source.
- **Work done on your behalf:** drafts, summaries and follow-ups, acting only within the permissions you set. Sending, payments and anything external need a person.
- **One deployment per company:** built for you alone, from the hardware to the model provider to where the data lives.
- **Six privacy layers:** retention and deletion, communication, access and actions, model inference, data storage and deployment, each set for your company. [What is private superintelligence?](/blog/what-is-private-superintelligence/) explains them.

## How it works

1. **Map** where the company's information lives and who should see what.
2. **Deploy** it in an environment built for your company alone, from isolated cloud to air-gapped.
3. **Set permissions:** it drafts freely, while sending and actions outside the company need a person.
4. **Hand over** to your team, with a named contact at Mitosis Labs. Delivery takes weeks.

## Private AI vs an enterprise AI seat

| | An enterprise AI seat | Private SuperIntelligence |
|---|---|---|
| Setup | Your team | Done for you |
| Scope | One person's chats | The company's own information |
| Infrastructure | Shared | Dedicated to your company |
| Your data | Under the provider's terms | No copy kept, nothing trained |

To weigh building it yourself, read [Building private AI in-house vs. a done-for-you service](/blog/build-vs-buy-private-ai/) and [Private LLM vs. a private AI service](/blog/private-llm-vs-private-ai-service/). For hardware-level protections, see [What is confidential AI?](/blog/confidential-ai/).

## Frequently asked questions

### What is the most secure AI for business?

The most secure setup is one where the provider keeps no copy of your work, trains nothing on it and runs on infrastructure dedicated to your company, with permissions you set. Check any vendor against retention, training, processing location, permissions and exit. [The five questions to ask any AI vendor](/blog/ai-vendor-due-diligence-checklist/) lists them.

### Is ChatGPT Enterprise private enough for a company?

ChatGPT Business and Enterprise do not train on your data by default, but your team still sets them up and governs them, under OpenAI's terms. Read [Is ChatGPT safe for confidential information?](/blog/is-chatgpt-safe-for-confidential-information/) for what each plan keeps.

### Who is Private SuperIntelligence for?

Enterprises, family offices and private clients, especially companies in regulated work such as legal and finance that want AI on their most sensitive information.

### How much does it cost?

There is no public price list. Mitosis Labs scopes each engagement with the client.

### How do we start?

Register with your email, job title and approximate annual revenue. Organizations with $10 million or more in annual revenue can book a conversation with Alex Morris, Co-founder and CEO of Private SuperIntelligence (by Mitosis Labs), straight after registering.