u/Tech_4_Good

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Hey everyone 👋

I’m building a startup called Questa AI.

The idea came from noticing how quickly companies are adopting AI tools like ChatGPT for internal workflows, reports, emails, support, and research — while very few teams are thinking seriously about what happens to the sensitive data being shared with those systems.

Questa AI acts as a privacy layer between company data and LLMs.

Before anything reaches the AI model, sensitive information like names, financial details, customer data, and internal identifiers can be anonymized, allowing teams to still benefit from AI without exposing real business data.

The goal is to help businesses use AI more confidently instead of avoiding it completely because of privacy or compliance concerns.

Still early, but I’d genuinely love feedback from founders and builders here:

• Does this feel like a real pain point?
• Which industries do you think would care most?
• Would companies eventually demand privacy-first AI workflows by default?

Website:
https://www.questa-ai.com/

[ Removed by Reddit on account of violating the content policy. ]

I’ve noticed a lot of small businesses are starting to use tools like ChatGPT for internal workflows, emails, reports, customer support, and document analysis.

But I’m curious how people are thinking about the privacy side of this.

Are businesses actually comfortable putting sensitive company data into AI tools, or are most people just ignoring the risk because the productivity gains are too useful?

It feels like AI adoption is moving way faster than conversations around data privacy, especially for smaller teams without dedicated security/compliance people.

Curious how other founders and business owners here think about this.

Lately I’ve been noticing something interesting while building in the AI space.

A lot of founders are excited about integrating tools like ChatGPT into workflows, but very few seem to talk about what happens when employees start feeding real internal data into these systems every day.

It feels like we’re in this weird phase where AI adoption is moving faster than companies’ understanding of privacy, compliance, and data exposure.

I’m curious how other founders here think about this.

Do you see AI privacy becoming a major operational problem over the next few years, or do you think most businesses will eventually just accept the trade-off for productivity?

Lately I’ve been wondering how many companies are already using tools like ChatGPT with internal documents, emails, reports, and other sensitive data without really thinking through the privacy implications.

Even if providers claim they don’t train on submitted data, there are still questions around retention, third-party access, compliance requirements, and accidental exposure of sensitive information.

At the same time, AI tools are becoming part of daily workflows so quickly that it feels unrealistic to expect employees not to use them.

Do you think businesses are underestimating this problem right now, or will privacy protections around AI become standard over the next few years?

Curious how people here see this evolving.

Most companies are already putting sensitive data into AI tools.

Not because they’re careless.

Because employees are already using GPT/Claude for real work:

• reports
• internal docs
• PDFs
• customer communication
• spreadsheets

Honestly, this is what pushed me to start building Questa AI.

I kept seeing teams that wanted AI badly, but had no safe way to use it with confidential data.

So I started working on a workflow where sensitive info gets anonymized before it ever reaches the LLM.

Still early. Still improving a lot of things.

But the bigger realization for me was:
AI adoption inside companies is moving way faster than security/compliance teams can react to.

Curious if others here are seeing the same thing.

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Hey everyone,

I’ve been working on something called Questa AI and wanted to get some honest feedback from people here who’ve built or are building startups.

The idea came from a pretty simple problem I kept running into. Every time I wanted to use tools like ChatGPT on real business data — things like internal docs, emails, or reports — I hesitated. Once that data leaves your system, you don’t really have control over it, and for a lot of companies that’s a dealbreaker.

So what I’m building is essentially a privacy layer for AI. Before anything gets sent to an LLM, the system anonymizes sensitive information like names, financial details, and other identifiers. That way you can still use AI for insights and productivity, but without exposing real data.

I’m still early and trying to figure out if this is actually a strong problem worth going deep on. I’d really value your perspective on whether this feels like a real pain point, who you think would care the most about this, and whether it sounds like something that could scale into a serious business or if it’s too niche.

Appreciate any honest thoughts.