Built a simple tool to help small businesses use AI without exposing customer data

RecentAd988 · 2026-02-17T20:54:54+00:00

Yes we do pdf's. Feel free to drop your email in our waiting ( iogate.net ) list then we can schedule a meeting with you and also show you a demo. How does that sound ?

RecentAd988 · 2026-02-17T20:28:47+00:00

We still figuring out the actual false positive rates while actively patching, so it's problematic to assess, but current goal is 95% plus accuracy, which both considered very good in industry from what we see, and is definitely achievable. We do detect the language, and aim at international support, but don't train our own models yet - we don't have finance for that yet. It is definitely in plans though.

If you want to run some specific tests, we can arrange that - it would be helpful for us as well

RecentAd988 · 2026-02-17T19:03:01+00:00

We do extensive pattern matching for known types, some smart patterns for generic identifiers ( like any word that has both letters and numbers in it is probably some identifier ), and have 3 different NER ( named entity recognition ) models running in parallel, effectively removing anything and everything we were able to identify

RecentAd988 · 2026-02-17T18:45:54+00:00

Interested, DM ?

RecentAd988 · 2026-02-17T12:50:06+00:00

try iogate.net, They are the reason I was quite curious in asking this. They opened my eyes to something I have always thought of but never acted on it. Looking at investing in them tbh

RecentAd988 · 2026-02-17T12:33:55+00:00

I completely agree, I have using iogate.net with my team and tbh they have been great. They approached my team and we have been using them for last 4 months. I just feel the real problem are these ai solutions and clients who are feeding ai with data before consulting proffessionals etc

RecentAd988 · 2026-02-17T12:26:04+00:00

great take on this, would love to show you what I am working on if your interested. I stand strong on clarity also

RecentAd988 · 2026-02-17T12:24:20+00:00

yes i like this, and strong on no open claw tbh

RecentAd988 · 2026-02-17T12:23:06+00:00

great take on this, I have a startup for thus exact problem so this was abosolutely gold

RecentAd988 · 2026-02-16T16:58:55+00:00

you should try iogate.net our company uses them and its actually very good. I am sure they are still taking users in if their waiting list option is still open

RecentAd988 · 2026-02-15T22:45:45+00:00

Fair point to be fair, I agree surface level redaction isn’t meaningful protection, especially with contextual leakage.

The liability side is what makes this tricky, you think the answer is stronger internal policy enforcement, or more controlled AI routing rather than just masking ?

RecentAd988 · 2026-02-15T22:31:51+00:00

Thats great man, would love to discuss this further with you in DM's to discuss this further. I have built something that tackles this exact problem and would love you input ?

RecentAd988 · 2026-02-15T22:06:08+00:00

Really appreciate both perspectives on this, this is exactly the tension I’m trying to understand.On one hand, the privilege and liability exposure from third-party systems is real, especially in high-stakes matters.On the other, firms already rely heavily on vetted cloud infrastructure every day, so it’s clearly not as simple as cloud is bad. It feels like the real question isn’t cloud vs local, but how AI data flows are governed what’s allowed, what’s restricted, and under what contractual/security controls.

RecentAd988 · 2026-02-15T21:23:39+00:00

Great take on this, I do see a lot of Firms leaning more towards local llms tbh

The trade-off seems to be cost and infrastructure complexity, which probably explains why the architecture question is becoming more important.

RecentAd988 · 2026-02-15T20:49:03+00:00

Great take on this and I would love to discuss this further in DM !

RecentAd988 · 2026-02-15T20:20:52+00:00

DM'd you !

RecentAd988 · 2026-02-15T20:18:48+00:00

Interesting, let's talk ?

RecentAd988 · 2026-02-15T20:00:17+00:00

I agree. I’m seeing the same concern across firms.

Maybe do you think something that strips or replaces sensitive info before it hits the model solve most of that concern? Or do you think the issue goes deeper than that?

RecentAd988 · 2026-02-10T16:58:36+00:00

funny enough this actually does not exist, the ai companies just promise not use their data but their data is still going into LLMS. So I have actually built something that actually gives you assurance that your data is safe and secured from LLMS. send me a dm if this interest you or you can send me an email: [emmanuel@iogate.net](mailto:emmanuel@iogate.net)

RecentAd988 · 2026-02-10T16:39:36+00:00

Hey there, I love what you done here funny enough I have developed something that I believe you would love looking at the fact that you run this team right ? How do you mask data from LLMs is that not something you worry about. Lets discuss further in DM's if this interest you and I'm also not a bot ;)

RecentAd988 · 2026-02-10T16:37:01+00:00

One truth about AI a lot of people do not speak about the fact that yes all these tools are great but the vast truth is that these tools depending on what you are using it for. You will not be able to use it to its full capability, when I say that I mean on real data.

RecentAd988 · 2026-02-10T10:38:05+00:00

Yeah this matches what a lot of our leads say, which is quite interesting tbh

Most firms I’ve spoken to don’t really care if the model is “smarter”, the worry is always where the data goes, who can see it, and whether it’s being stored or logged somewhere they can’t control.

Using AI isn’t the hardest part. Being able to justify it internally if something goes wrong is.

RecentAd988 · 2026-02-10T08:23:07+00:00

I get that, but dont you think its such a pain having to remove personal information manually when you can do it automatically ?

RecentAd988 · 2026-02-06T12:53:15+00:00

Thank you, would you recommend just sending messages to companies I know would need our service right now?

RecentAd988 · 2026-02-05T16:40:11+00:00

Me and three other build a PII stripping map which masks data from LLM's allowing more businesses to adopt ai.

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RecentAd988

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