AI App That Does Not Train on Your Data
Worried your AI chats train someone's model? MultiChats does not train on your conversations, shows no ads, and lets you delete your data.

If you want an AI app that does not train on your data, MultiChats is built around that promise. Your conversations are not used to train models, there are no ads, and you can delete what you have written. The short version: what you type stays yours, across every model you talk to.
Most people never read the data settings buried in their AI app. That is reasonable, since the defaults are designed to be easy to ignore. The problem is that those defaults decide what happens to your messages after you hit send. This article walks through how the major apps handle your data, where MultiChats stands, and how to think about privacy when you use several models at once.
How major AI apps use your data
There are three separate questions hiding inside "is my data safe." They get mixed together a lot, so it helps to pull them apart.
Training. Does the app feed your chats back into its models to make them smarter? Some consumer apps do this by default and ask you to opt out. Others only train on data from certain plans, or only when you leave a specific toggle on.
Retention. How long do they keep your messages, even if they are not training on them? Logs can stick around for safety review, debugging, or legal reasons well after you forget a conversation existed.
Monetization. Is the product paid for by you, or by advertising and data resale? When an app is free with no clear paid tier, your attention and your data are usually part of the business model.
The reason defaults matter so much is that almost nobody changes them. A privacy setting that protects you only if you find it and flip it is a weak protection. The better question to ask any tool is: what happens to my data when I do nothing at all?
This gets more complicated when you use multiple models. If you bounce between separate apps for GPT, Claude, and Gemini, you are agreeing to three different privacy policies with three different defaults. That is one of the quieter reasons people move to a single hub. If you are weighing that move, our guides on the all-in-one approach and on consolidating your subscriptions cover the practical side.
The MultiChats stance: no training, no ads, your data
MultiChats is one app with 50+ AI models behind a single subscription, made by YUKARI LABS. The privacy position is simple enough to state in one breath, and it does not depend on you hunting for a toggle.
No training on your conversations
Your chats are not used to train models. You do not have to opt out, because training on your data is not the default behavior to begin with. That holds whether you are drafting a sensitive email, pasting code, or thinking out loud about something personal.
No ads
The app is paid for by subscriptions, so you are the customer rather than the audience for an ad network. There is no advertising layer that needs to profile you or sift through your messages for targeting signals.
You own and can delete your data
Your conversations belong to you, and you can delete them. There is no lock-in that traps your history inside one ecosystem. For the exact wording on retention and deletion, the privacy policy is the source of truth, and it is worth a two minute read before you trust any AI app with real work.
One nuance worth being honest about: when you send a message to a specific model, that request is processed by the underlying model provider so it can generate a reply. That is true of any multi-model tool. What MultiChats controls is its own behavior, which is no training, no ads, and deletion on your terms. If you want to read more about how switching between models works without losing context, see switching models mid-conversation.
Privacy comparison at a glance
Here is how the three core privacy questions line up. The right column describes MultiChats. The middle column describes a common pattern across many consumer AI apps, stated generally on purpose, since the specifics shift over time and vary by plan.
Question | Common consumer AI app | MultiChats |
|---|---|---|
Trains on your chats by default? | Often yes, with an opt-out you have to find | No |
Shows ads? | Sometimes, especially on free tiers | No |
Can you delete your data? | Usually, though logs may linger | Yes |
How many policies to read? | One per app you juggle | One, across 50+ models |
That last row is the underrated part. Using one hub for many models means one privacy policy to understand instead of a stack of them, and one place to delete everything if you decide to.
When a single app is enough
Honesty matters here, so a plain admission: if you only ever use one model and you are happy reading and managing that one provider's privacy settings, a single tool like ChatGPT or Claude can be perfectly fine. There is nothing wrong with keeping it simple. Privacy is not automatically better just because a tool is private by default; it is better when the default matches how you actually behave, and most people never touch the toggles.
MultiChats tends to make sense when you already use more than one model, when you do not want to manage several policies, or when you want predictable privacy without thinking about it. If you are coming from a specific app, the ChatGPT alternative and Claude alternative pages explain how the switch feels day to day, and our roundup of the best AI chat apps puts the options side by side.
Practical privacy habits, whatever app you use
A few habits keep your data tidy no matter which tool you land on:
Read the one paragraph that covers training and retention before you paste anything sensitive. It is usually short.
Delete conversations you no longer need, rather than letting them pile up forever.
Keep truly secret material (passwords, full financial records) out of any chat, the same way you would with email.
Prefer one tool with a clear stance over five tools whose settings you will never check.
The most private setup is the one you do not have to babysit. Pick defaults you can live with, then stop thinking about it.
Frequently asked questions
Which AI apps do not train on your conversations?
MultiChats does not train on your conversations and shows no ads. Among single-model apps, several offer a no-training mode, but it is often something you have to turn on rather than the default. Always check the wording for the specific plan you are on.
Can I delete my data?
Yes. You can delete your conversations in MultiChats. For the full details on retention and deletion, see the privacy policy.
Is my data safe if I use multiple models in one app?
Your message is sent to whichever model you choose so it can answer, which is true of any multi-model tool. What the hub controls is its own behavior. In the case of MultiChats, that means no training on your chats, no ads, and deletion when you want it, governed by a single policy instead of one per provider.
Does the free tier train on my data or show ads?
No. The free tier includes 5 free models with limited daily messages, and it follows the same no-training, no-ads stance as the paid plans. The paid plans add any model, web search, memories, folders, and higher limits, but the privacy posture does not change between tiers.
How is this different from using ChatGPT, Claude, and Gemini separately?
Using them separately means three apps, three subscriptions, and three privacy policies with three sets of defaults. MultiChats puts 50+ models behind one subscription and one policy, so there is a single place to manage and delete your history. You can read more in our piece on one subscription for all AI models.
The bottom line
If keeping your conversations out of someone's training set matters to you, the cleanest answer is an app that does not train on your data by default, runs without ads, and lets you delete everything. MultiChats does that across 50+ models with one subscription and one policy to understand. You can start free, with 5 models and no card required, and read the full terms on the privacy page before you commit. When you are ready to see the plans, the pricing details are here.