Protopia.AI

Stained Glass Transform is the inference privacy layer for AI. End the data isolation tax. Unlock sensitive data and transform AI economics.

[Protopia.AI @protopia_ai]

Useful agentic AI has arrived: https://t.co/Y63ah3kfNa

The catch: the most valuable agentic work touches sensitive data, so it gets exiled to single-tenant carve-outs, and the AI factory runs at 20 to 30 percent of what it was bought for.

That is the isolation tax. Protopia SafeCLAW removes it:
Live at #HPEDiscover, booth DEMO617.

Thanks @NVIDIAAI and @HPE for bringing this to life.

[Protopia.AI @protopia_ai]

NEW: @protopia_ai Stained Glass Transform is now available for @nvidia Nemotron 3 Super and Nano Omni. https://t.co/6BlvPruvJ5

Run your most sensitive workloads on the same multi-tenant AI factory as everything else. No plaintext in the inference path, no carve-outs, no isolation tax.

Get early access today: https://t.co/K8tmpDx5jR

[Protopia.AI @protopia_ai]

@NVIDIA and @Protopia_AI are addressing the Trust Dilemma together, unlocking confidential AI anywhere at global scale. https://t.co/E9AcK4RFUq

NVIDIA Confidential Computing protects the model and its execution environment. Protopia's Stained Glass Transform protects the inference data path across the full operational surface of the AI factory, so sensitive prompts never appear in plaintext in logs, observability, scheduler records, or fabric traffic.

With CC on the weights and SGT on the data path, the operator holds neither party's secrets in the clear.

This fundamentally changes what becomes architecturally possible for sensitive agentic workloads. The secure agent workspace reference design treats inference as a hard dependency that can be served either locally on a nearby GPU or routed to a managed endpoint, for example an AI Factory. Until now, routing sensitive agentic workflows to an LLM in multi-tenant environments have not been fully trusted.

This traditionally results in an isolation tax that eats into the ROI of AI Factories. With the joint stack in place, inference on a multi-tenant AI Factory becomes a viable option for sensitive agent workloads, which widens the set of deployment patterns enterprises can use to put agents into production.

If you're at GTC Taipei this week, come see it live!

[NVIDIA AI Developer @NVIDIAAIDev]

Dev Community Live: Run OpenClaw Agents Safely - Cloud AI, Zero Data Exposure https://t.co/ErP44qMTYB

[NVIDIA AI Developer @NVIDIAAIDev]

Privacy and performance shouldn’t be a tradeoff for LLM workloads.

Learn how we’re using Stochastic Embeddings with OpenClaw, vLLM, and Protopia AI to protect sensitive data while maintaining cloud-scale efficiency — no local hosting required.

Hear insights from Kiyu Gabriel (@IBM) and Andrew Sansom (@protopia_ai)

🕐 March 11 · 11–11:30am PDT
🔗 Join the livestream https://t.co/YNwZnkORjY

[Nebius @nebiusai]

Let’s do it once again. Meet Nebius at @NVIDIA GTC Washington, D.C.🔥

Learn more about our booth 203 in Hall A, the session with @Accenture, the on-site team led by our CEO, and the afterparty in the thread. #GTCDC 1/5

[Nebius @nebiusai]

Last but not least, you can apply for our after-hours AI Salon on Tuesday, Oct 28, hosted with @protopia_ai: https://t.co/WSH91kaV2C #GTCDC

[Lambda @LambdaAPI]

We’re teaming up with @protopia_ai to deliver Roundtrip Protection on Lambda’s inference endpoints, so your prompts & responses stay 100% yours. From client → cloud → client. 🔐

☑️No plaintext leaks
☑️No trade-offs
☑️All performance, all privacy

Request early access to see Protopia in action on Lambda Cloud https://t.co/R5v7avBDd6

Learn more: https://t.co/F0QBy2jSQz

[Protopia.AI @protopia_ai]

No plaintext. No leaks. No compromises. 🔐

We’ve partnered with @LambdaAPI to launch the only solution that eliminates plaintext exposure across the entire GenAI inference pipeline, from prompt ➝ cloud ➝ response.

☑️ Full privacy + data ownership
⚡ Max performance and ROI
✅ Zero trust, zero trade-offs

Request Early Access: https://t.co/GFcIy70ZQs
Learn More: https://t.co/igl4V4GTAf

[Protopia.AI @protopia_ai]

Unlock the power of popular open LLMs like #Mistral and #LLaMA3  while retaining data ownership. 🔒

See how Protopia AI Stained Glass Engine & @nvidia DGX Cloud offer compelling solutions for privacy-preserving LLM deployments: https://t.co/whxrBSdRhU

[Andrea B. Kalmans @akalmans]

Thrilled to see ⁦@Oracle⁩ and ⁦@protopia_ai⁩ partner for safe ai https://t.co/jTwc1Hsmsl

[Protopia.AI @protopia_ai]

🎥 Harness the future of LLMs without compromising your enterprise's most valuable asset – your data!
https://t.co/N2xsGUqi2E

[Robert Schwentker @schwentker]

Check out Protopia AI:

Data protection in AI era

Privacy-preserving technologies ensuring data confidentiality while leveraging AI/ML solutions

@protopia_ai
@AWSstartups

[AWS Startups @AWSstartups]

We are excited to reveal the startups accepted to the #AWSGenAIAccelerator. These founders will prove what’s possible with technical help, mentorship, up to $300,000 in AWS credits & more.

Meet the startups solving the biggest problems with the power AWS: https://t.co/t5vYoJPRYM

[Protopia.AI @protopia_ai]

🎉 #ProtopiaAI is thrilled to join the AWS GenAI Accelerator! We're working to solve GenAI's biggest hurdle - usin cutting-edge ML solutions while retaining data ownership. Our Stained Glass Transform™ technology is set to enable safe enterprise adoption of GenAI.
@AWSstartups

[Protopia.AI @protopia_ai]

📢 CIOs & CDOs! As we gather more data for AI, protecting sensitive info is crucial 🛡️ With more data access, we can unlock insights & progress. Let's work together to balance access & protection, and drive progress in this new era of data consumption! #DataPrivacy #AI #ML

[Protopia.AI @protopia_ai]

https://t.co/mfeB4MyTds

[Protopia.AI @protopia_ai]

ALTR CEO opens up about data access and trust and vendors that meet you in your stage of the ML journey.
https://t.co/xULnbOCTsI
#ResponsibleAI

[Protopia.AI @protopia_ai]

Would You Use Half a Recipe to Make Donuts?
Well, you’re Doing It with Your AI
https://t.co/GiCYLGjkeT