Meet AskTuring — the private AI that turns your documents into an intelligent knowledge base. SOC 2 secure. Never trains on your data. 👉 Join the waitlist: https://t.co/fAZMhvd1Vw

If Alan Turing were alive today, sitting him down with our CEO, @GuyReams, would feel like the most natural thing in the world. AI made it possible to imagine that moment anyway. This “meeting” is a small tribute to the mind that started modern computing — and a reminder of

The future of enterprise AI is private, secure, and under YOUR control. Thanks to our incredible team, investors, and customers making this journey possible! 🙏

Why now? AI adoption is accelerating, but trust and compliance remain the biggest barriers for enterprises. We're solving the fundamental challenge: How do you get AI power WITHOUT sacrificing data privacy and control?

Traction is strong: 📈 Oversubscribed $3M seed round (Q3 2024) Customers across multiple sectors: • Law firms • Wealth management • Manufacturing • Professional sports teams

What sets us apart: - End-to-end encryption - Never train guarantee - Model-agnostic platform - RAG with semantic mapping - Real-time team collaboration "It isn't another AI tool. It's the definitive trust layer for AI adoption." - @GuyReams

The problem: SMBs want AI power but can't risk their proprietary data being used to train LLMs. Our solution: Private, secure enterprise AI platform with a "never train" guarantee + SOC2 compliance. Your data stays YOURS.

🚀 BIG NEWS: @AskTuring is launching our Series A fundraise ($10-15M) and welcoming @GuyReams as Co-CEO! We're building the trust layer for AI adoption that enterprises actually need. Here's why this matters... 🧵

What matters more to you: predictive care that could save your life or keeping your health data completely private? Drop a comment. Let me know where you stand.

The healthcare revolution is happening whether we're ready or not. The question isn't if AI will change medicine. It's whether we'll protect patients while it does.

I believe collaboration between AI and human experts is our best path forward. Not replacement. PARTNERSHIP. But only if we solve the privacy problem first.

And here's the problem I can't ignore... Biases get baked into results. Overfitting misleads clinicians. Patterns that aren't real become treatment protocols.

But AI agents are now acting as lead investigators in medical research. Data analysts. Draft authors. Even PEER REVIEWERS. The line between human and machine is blurring fast.

The promise is real. Earlier interventions. Smarter therapies. Lives saved before crises happen. More affordable care for everyone.

I keep asking myself: are we ready to trade our most PRIVATE information for preemptive care? Because that's the deal on the table.

But here's what nobody talks about... Your medical history. Your genetic markers. Your lifestyle patterns. All feeding these algorithms.

Delphi-2M can predict risks for over 1,000 medical conditions. It analyzes decades of patient records. Trained on MASSIVE datasets from the UK and Denmark. The accuracy is stunning.

AI doctors are coming, but at what cost I've been watching AI transform healthcare. And I'm both excited and terrified.

What's your AI verification process? Drop a comment below. Let's learn from this disaster before it happens to someone else. Because the next judge might not be as patient as Simon.

The future isn't about avoiding AI. It's about using AI RESPONSIBLY. With verification. With privacy. With control over your own knowledge base. This case just made that crystal clear.

Don't become the next cautionary tale. Verify EVERYTHING your AI produces. Cross-reference citations. Check case law manually. Build verification into your workflow from day one.