Built for regulated professionals

You use AI every day on your most sensitive work. Who else can read it?


Same AI. Private infrastructure. Only you can read it.

Every time you type a client name, a diagnosis, or a deal detail into a public AI tool, that conversation is stored on a server you do not control. TPAI changes that.

Beta open now. 37 of 50 seats remaining.
totallyprivate.ai — Claude Sonnet 4.6
Air-Gapped

The problem

There is no safe option with public AI. Until now.

If you use public AI tools
You lose control of client data you are legally obligated to protect.

When professionals type client names, medical details, legal strategy, or confidential financial information into ChatGPT, Copilot, or Gemini, that information lands on vendor servers outside their control. Licensing boards and regulators have strong opinions about this. And the vendor may use that data to train their next model.

If you try to ban it
The team uses it anyway. Without anyone knowing. Without any protection.

No organization has ever banned its way out of this. Colleagues use AI on personal devices, at home, with real client information in the prompt. The data exposure has not been prevented. The ability to govern it has been lost entirely.

This is a lose-lose dilemma. Use public AI and expose client data. Refuse and lose visibility over shadow AI. Both paths create liability. Most professionals are stuck choosing between them.

Think of it this way

Using a public AI tool is like a photocopier that keeps a copy of everything you scan. You thought it was just a tool. It was also a filing cabinet for someone else. Someone you have never met, whose security practices you have never reviewed, is now a custodian of your clients' most private information.

Regulators in every major market are watching how professionals use AI. Licensing boards have opinions about confidentiality in every tool professionals touch. Most professionals already know something is wrong. They just have not had a way to fix it.

There is a certain kind of professional who already knows their team is using AI unsafely and has been quietly looking for a way to fix it without making it a crisis.

What most professionals never find out
There is a third path.

Most professionals feel stuck choosing between two options that are both wrong. A third, safer option now exists.

Before TPAI vs. After TPAI

The outcome you are actually buying

Specific. Tangible. The difference in your working day, starting from the moment you sign up.

Legal

From avoiding AI on client matters entirely, to using it confidently on your hardest work.

Before
Avoiding AI entirely, or using it and hoping nothing surfaces in a bar complaint review.
After
Research, draft, and review on any client matter. Attorney-client privilege intact. Bar association satisfied.
Finance

From telling clients you take their data seriously, to being able to prove it to a regulator.

Before
Client data on vendor servers. No clean answer when a regulator asks where it went.
After
Complete audit trail. Client data never left your environment. The regulator gets a clean answer.
Healthcare

From 45 minutes of paperwork after every patient, to done before you leave the room.

Before
Clinical notes eating evenings. Either skip AI or use it and worry about HIPAA every time.
After
Documentation drafted privately in minutes. Patient data never touched a third-party server. Go home on time.

How TPAI works

Private AI. Plain and simple.

TPAI gives you the same AI you already use. The privacy works completely differently.

For non-technical readers

Think of a public AI tool like having a sensitive conversation in a coffee shop. Anyone nearby can hear it. The shop keeps a log. TPAI is the same conversation in your own locked private office. Same AI capability. Same familiar chat interface you already know. Nothing leaves the room. No log exists anywhere outside.

PUBLIC AI YOUR DEVICE OPEN INTERNET ??? VENDOR SERVERS Black box. You have no idea what happens here. your data stored on their systems Legal Process subpoena, court order NYT v. OpenAI your data in discovery Hackers vendor breach = your breach Also: Model Training Your prompts may be used to train their next AI model. You will not be told. Your data travels to servers you cannot control, audit, or protect. It can be subpoenaed, breached, or used to train future AI models. You will not be told when any of this happens. VS TPAI YOUR DEVICE VPN YOUR PRIVATE SECURE ENCLAVE TPAI Platform encrypted per user you hold the keys absolute control AI Models Claude, Llama, Mistral (private via Bedrock) no data to OpenAI/Anthropic No Training your data never trains any model AWS Bedrock guarantee NO EXIT Your data never leaves your private environment. No subpoena risk. No breach risk. Never used for training. You are in complete control. AWS Bedrock: "Amazon Bedrock does not use your prompts to train base models." (Service Terms, Section 50.10) totallyprivate.ai

Encrypted. Only you can read it.

Each user's conversations are encrypted separately. Not even TPAI can read your data. Your private work stays private.

Never used to train any AI model.

Nothing you type improves any AI model anywhere. Your client information is used only to help you.

No path out. By design, not policy.

There is no public internet connection in the environment. No technical route for data to leave.

No IT department needed. No configuration. Up and running in minutes.

Sign up, receive your provisioning package, and you are in. The same familiar chat interface you already know. The privacy architecture works underneath, invisibly.

Privacy, security, and compliance alignment are built into the architecture from day one. Not added later. Evidence pack covering HIPAA, GDPR, NIST 800-53, and more is available on request. compliance@totallyprivate.ai

What you can do with it

Real work. Done faster. Kept private.

The tasks your colleagues are already using public AI for, now done without the risk.

Documentation that takes hours and should take minutes

Clinical notes, discharge summaries, referral letters, deal memos, legal opinions, client correspondence. Draft privately, review professionally, send with confidence.

Finding what your organization already knows

Policies, precedents, prior decisions, research archives, committee history. Institutional knowledge that lives in documents no one has time to search, now instantly accessible without sending it anywhere.

Client communications that must stay confidential

Quarterly letters, LP updates, patient education, legal opinions. Written with full client context. Reviewed by a professional. Never shared with a vendor.

Compliance work that is never truly finished

Regulatory gap analysis, audit preparation, exam packs, procedure drafting. Done privately, with a full record you control, and no external data custodian to explain to a regulator.

Under the hood

Controls that satisfy your compliance team

No route out for your data

The environment has no public internet connection. There is no path for data to leave, even if someone tried to create one.

Encrypted per user. Readable only by you.

Every user's conversations are encrypted separately. Your data is accessible only to you, even within your own organization.

We cannot read your conversations

TPAI has no routine access to your content. Any support access requires your explicit consent and is fully logged.

Your data is never used for training

Nothing you type improves any AI model. Structural and backed by AWS Bedrock contractual terms.

Multiple AI models, all private

Claude, Llama, Mistral, and more, all privately accessible. No data sent to OpenAI or Anthropic public servers.

Compliance alignment built in from day one

Architecture designed for HIPAA, GDPR, FINRA, NIST 800-53, ISO 27001, DORA, and the EU AI Act. Not an afterthought.

Architecture aligned to frameworks across every major regulated market

Americas
HIPAA NIST 800-53 SOC 2 FINRA / SEC
Europe
GDPR Art. 9 DORA ISO 27001 EU AI Act
Middle East / GCC
PDPL (Saudi) SAMA DIFC DP Law UAE PDPL
Asia Pacific
PDPA (SG/TH) APPI (Japan) Privacy Act (AU) MAS TRM (SG)

Early feedback

What real professionals are saying

I love the simplicity of this app. I believe it will be helpful in many areas of healthcare. I have no doubt you will build a large clientele with this application.

Courtney
Healthcare Professional

The core premise, secure enterprise-grade AI infrastructure, is exactly right. The positioning around governance and strict boundary controls is where the differentiation is strongest.

Kevin and colleagues
Financial Services, Hedge Fund

I think this is a great product. Efficiency means better service for clients at lower cost. The reminder that the professional still has to do the professional's job is exactly right.

Celia
Attorney, In-House Counsel

Built by security architects with decades of experience building enterprise software for Microsoft, Citrix, and Pearson. Designed for regulated industries from the first line of code.

Beta Access. 37 seats remaining.
$299 $199
per user / month
You save $100 every month
Beta price. Yours for life. Founding beta pricing. Locked while you remain subscribed.
37 seats remaining
  • Full platform access. Not a limited preview.
  • Claude, Llama, Mistral and more via private infrastructure
  • No IT required. Up and running in minutes.
  • Per-user encryption. Readable only by you.
  • Direct access to the founding team
  • Shape the product roadmap from day one
Get Instant Access. $199/month.

You will receive a provisioning package immediately to get started. When the 50 seats are filled, the beta closes.

The beta agreement

What you get
  • Full platform, not a limited preview
  • Beta price locked permanently
  • Direct line to the founding team
  • Influence over the product roadmap
What we ask
  • Use it on real work
  • Tell us what breaks. We fix fast.
  • One 15-minute feedback call
  • Honest feedback, even when it stings

Questions before you join?

You are evaluating a tool for sensitive professional work. Ask us anything about the architecture, the compliance posture, or how it fits your workflow.