One of the biggest questions people keep asking about AI‑powered tools is this:

>“Is my data being used to train the AI models?”

It’s a legitimate concern, especially with so many services vaguely say they improve “models and services” without clarifying how your data is used. Even large privacy policies often hide that nuance in legal language.

Here’s how AINOTE approaches this, based on their privacy principles and product‑specific practices:

• No Data Used for AI Model Training

AINOTE’s AI functions only process content when you explicitly trigger them. That means your notes, recordings, or text are not scanned, collected, or analyzed unless you choose to use an AI feature like summaries, Q&A, or meeting minutes. Once the task is completed, AINOTE does not retain this data beyond the processing needed to return results, it isn’t stored for future training or analytics. This is a deliberate design choice that helps keep your content private and under your control.

• Commercial AI APIs Under Strict Agreements

When you do use an AI feature, AINOTE doesn’t run its own model training infrastructure behind the scenes. Instead, it calls commercial AI APIs under clearly defined agreements. These agreements explicitly limit the use of your data, t’s only used for the specific task you asked for, and not incorporated into broader training datasets. This is an important distinction compared to many other AI services that may use user data to “improve their models.”

• Your Data Isn’t Kept Longer Than Needed

A core tenet of the privacy policy from iFLYTEK and its affiliated services is that personal data is only processed as necessary to deliver the service you requested and in ways consistent with applicable laws. Data is never kept indefinitely for undisclosed purposes or fed back into AI training loops without user consent.

• Explicit User Control Over AI Activation

The AI doesn’t run in the background. It doesn’t continuously harvest text or voice content. AI processing only happens when you choose to trigger a feature, there’s no hidden data collection or automated logging. That’s a fundamental privacy guardrail that ensures your content remains isolated unless you intentionally decide to send it for processing.

• Bottom Line, Clear Separation Between Your Data and Model Training

If you’re cautious about AI privacy, like many Redditors are, here’s the core takeaway:

✔️ AINOTE’s AI only processes data when you request it.

✔️ That data is not used to train or improve broader models.

✔️ It is not retained beyond necessary processing.

✔️ It doesn’t run in the background or collect silently.

This means the AI is truly there to serve you, not to ingest your personal data for other uses.

If you’re interested, I’ve also written a couple of related posts in this series:

• Part 1: [Your Data Stays Yours]
• Part 2: [Enterprise-Grade Security by Design]

Happy to continue the conversation if anyone has thoughts or questions — privacy is honestly one of the most important things when it comes to AI tools, and I’d love to hear how others think about it too.

At AINOTE, we know that an AI note-taking device is not just a place to store words.

When you use AINOTE, you may be recording meetings, converting speech into text, turning handwriting into digital notes, generating AI-assisted summaries, or syncing content across devices. That content may include business discussions, study materials, interviews, project plans, action items, deadlines, or personal ideas.

That is why we design security into AINOTE from the start.

👓What we protect

AINOTE is built to support real productivity workflows. In those workflows, your notes, recordings, transcripts, summaries, and synced files may contain information that matters to you.

Our goal is to help you work more efficiently while reducing unnecessary exposure of your data.

💎How we protect data in transit

When data moves between your device and AINOTE services, we use encrypted transmission, including HTTPS / SSL.

This helps protect your information while it is being transferred. For example, when you sync notes, access a transcript, or use connected AI features, your data should not travel across the internet as plain, unprotected information.

🔔Why infrastructure matters

AINOTE is supported by trusted cloud infrastructure, including AWS.

This provides a reliable foundation for cloud sync, multi-device access, data storage, and connected productivity features. For users, this means the security experience is not only about the device itself, but also about the systems behind the service.

🛡Multi-layer protection

Security does not rely on one single barrier.

We use multiple layers of protection, including firewalls, intrusion prevention systems, access control, permission management, and risk monitoring.

These layers work together to help filter suspicious traffic, detect abnormal activity, limit unnecessary access, and reduce system-level risks.

🏷️A simple example

Imagine you record a business meeting and later generate a transcript or AI summary. That content may include names, decisions, deadlines, and follow-up tasks.

AINOTE’s security design is built to help protect that information during transmission, storage, access, and ongoing monitoring.

🧭Our approach

No system can remove every possible risk. But we believe security should be designed carefully, monitored continuously, and explained clearly.

For AINOTE, security is not an add-on.

It is part of the product foundation — because your notes, recordings, transcripts, and ideas deserve protection from the start.

One of the biggest questions people keep asking about AI‑powered tools is this:

>“Is my data being used to train the AI models?”

It’s a legitimate concern, especially with so many services vaguely say they improve “models and services” without clarifying how your data is used. Even large privacy policies often hide that nuance in legal language.

Here’s how AINOTE approaches this, based on their privacy principles and product‑specific practices:

• No Data Used for AI Model Training

AINOTE’s AI functions only process content when you explicitly trigger them. That means your notes, recordings, or text are not scanned, collected, or analyzed unless you choose to use an AI feature like summaries, Q&A, or meeting minutes. Once the task is completed, AINOTE does not retain this data beyond the processing needed to return results, it isn’t stored for future training or analytics. This is a deliberate design choice that helps keep your content private and under your control.

• Commercial AI APIs Under Strict Agreements

When you do use an AI feature, AINOTE doesn’t run its own model training infrastructure behind the scenes. Instead, it calls commercial AI APIs under clearly defined agreements. These agreements explicitly limit the use of your data, it’s only used for the specific task you asked for, and not incorporated into broader training datasets. This is an important distinction compared to many other AI services that may use user data to “improve their models.”

• Your Data Isn’t Kept Longer Than Needed

A core tenet of the privacy policy from iFLYTEK and its affiliated services is that personal data is only processed as necessary to deliver the service you requested and in ways consistent with applicable laws. Data is never kept indefinitely for undisclosed purposes or fed back into AI training loops without user consent.

• Explicit User Control Over AI Activation

The AI doesn’t run in the background. It doesn’t continuously harvest text or voice content. AI processing only happens when you choose to trigger a feature, there’s no hidden data collection or automated logging. That’s a fundamental privacy guardrail that ensures your content remains isolated unless you intentionally decide to send it for processing.

• Bottom Line, Clear Separation Between Your Data and Model Training

If you’re cautious about AI privacy, like many Redditors are, here’s the core takeaway:

✔️ AINOTE’s AI only processes data when you request it.

✔️ That data is not used to train or improve broader models.

✔️ It is not retained beyond necessary processing.

✔️ It doesn’t run in the background or collect silently.

This means the AI is truly there to serve you, not to ingest your personal data for other uses.

This is the second part of our AI & data privacy series. In the next post, we’ll take a closer look at how AI processing is handled within the system architecture.

At AINOTE, we’re committed to building tools that are not only useful, but also transparent by design.

Hi everyone. This is AINOTE Team.

As AI becomes a core part of productivity tools, one question comes up again and again:

>“What happens to my data?”

At AINOTE, we believe powerful AI should never come at the cost of your privacy.

That’s why everything is built around one principle:

Your data belongs to you, and you stay in control.

Enterprise-Grade Security by Design

AINOTE is built on a secure, enterprise-level architecture, including:

• Encrypted data transmission (HTTPS / SSL)
• Cloud infrastructure based on trusted providers (AWS)
• Multi-layer protection systems (firewall, IPS, access control)
• 24/7 monitoring and risk detection

Security is not an add-on. It’s built into the system from the start.

AI That Works For You, Not On Your Data

We understand the biggest concern around AI:

>"Is my data being used to train models?"

With AINOTE, the answer is no.

• We use commercial AI APIs under strict agreements
• Your data is processed only for the task you initiate
• It is not used for model training
• It is not retained beyond necessary processing

This ensures your content remains private and under your control.

AI Is Only Activated When You Choose

AINOTE does not continuously collect or process your data.

AI capabilities are explicitly user-triggered, such as:

• AI summaries
• AI Q&A
• Meeting minutes generation

If you don’t use these features, your data is not sent for AI processing.

No hidden uploads. No background activity.

Core Features Work Even Offline

AINOTE is designed to ensure that core note-taking and productivity capabilities remain usable even without an internet connection.

This means you can:

• Write, organize, and review notes
• Continue your workflow uninterrupted

You stay productive, even in offline environments.

Regional Data Storage & Compliance

We understand that where your data is stored matters.

AINOTE provides region-based data deployment, including:

• Singapore (AWS) — serving Asia-Pacific regions
• Frankfurt (AWS) — serving Europe

Your data is routed and stored based on your region selection.

This setup ensures compliance with major data protection regulations, including:

• GDPR (General Data Protection Regulation)
• PDPA (Personal Data Protection Act)

You not only know how your data is handled.

you know where it lives.

Full Lifecycle Data Protection

Privacy protection at AINOTE covers the entire lifecycle:

• Data collection → controlled
• Data processing → transparent
• Data storage → secured
• Data access → strictly limited

Every layer is designed to minimize risk and maximize trust.

Our Commitment

We know privacy is not just about policies. It’s about real system design.

That’s why AINOTE is built to ensure:

AI helps you work better without taking ownership of your data.

If you’d like to explore more details, visit our Trust Center:

https://ink.theainote.com/en_US/trust-center?shopify=true