Ozak AI x Phala
Ozak AI is built for making quick, reliable predictions in financial markets - our Prediction Agents pull in real-time data and spit out trading signals in under 30 milliseconds, all while keeping things secure through our Decentralized Physical Infrastructure Network (DePIN).
Phala is all about creating AI you can actually trust, with stuff like Phala Cloud, the first public confidential computing platform that gives enterprise-level privacy right at the hardware level and runs at 95% of bare-metal speed, and RedPill, which routes your AI needs across over 200 models from places like OpenAI and Anthropic while focusing on cost savings, no censorship, and keeping things private.
Today, we're excited to announce our partnership: Ozak AI x Phala.
The plan is to look into how Ozak AI's Prediction Agents and Phala's full CPU-GPU-TEE stack can work together to create more secure AI workflows, build shared tools for developers, and launch some cool cross-community projects.
Ozak AI x Phala: Who Is Phala?
Phala Network is focused on building AI that people can really trust, with a big emphasis on privacy and security right from the start.
Their main thing is Phala Cloud, which is the world's first public confidential computing platform made for enterprise AI. It gives you hardware-level privacy while running at about 95% of bare-metal performance, so it's fast and secure. It works with Intel TDX and NVIDIA confidential compute, lets you deploy with zero-code Docker, and handles key management on-chain.
Then there's RedPill, their privacy-first AI aggregation layer that routes queries across more than 200 models from companies like OpenAI, Anthropic, Meta, and Mistral. It helps with cost optimization, fights censorship, and keeps everything under confidential computing.
What sets Phala apart is their complete CPU-GPU-TEE stack, which is open-source so there's no vendor lock-in, and they make proof-of-concepts three times faster than old-school clouds. They're tackling the huge confidential AI market, expected to reach $145 billion by 2028, by fixing the top issue for CIOs: running safe AI with private data.
They're already doing well, with $3 million in annual recurring revenue projected for 2025, over 8,000 developers on board, and trust from 30 enterprises.
If you want to dig deeper, check out their pitch deck at https://gamma.app/docs/Copy-of-Build-AI-With-Trust-Steven-Modified-i359wkz6pswoj14, docs at https://docs.phala.com/, or case studies like this one on financial services AI with compliance: https://phala.com/success-stories-reports/financial-services-ai-with-compliance.pdf.
Where Ozak AI and Phala Could Intersect
Mix Ozak AI's super-fast Prediction Agents with Phala's trusted, private AI computing stack, and some interesting opportunities come up for how we might work together:
- Secure processing for financial data: Ozak AI's Prediction Agents could run on Phala Cloud to handle sensitive market info with hardware-level privacy, keeping everything confidential while still delivering those quick 30ms signals - perfect for protecting user data in real-time trading setups.
- Privacy-boosted model routing: We could hook into RedPill to route our AI queries across those 200+ models in a way that's cost-effective and resistant to censorship, making our financial predictions more robust and efficient without exposing private details.
- Stronger DePIN with TEE tech: Combining Ozak AI's Decentralized Physical Infrastructure Network (DePIN) with Phala's CPU-GPU-TEE stack could create more resilient infrastructure for financial apps, ensuring verifiable security and scalability for things like data vaults and on-chain contracts.
- Shared tools for devs with built-in trust: Developers could build and test secure Prediction Agents using Phala's open-source platform, complete with on-chain key management, to create kits that make it easier to deploy trusted AI for market forecasting.
- Joint community projects: We might run events like workshops or challenges focused on private AI in finance, where folks experiment with our agents on Phala's network, building cross-community ideas and fostering growth in secure AI ecosystems.
- Enterprise-scale performance: Using Phala's 3x faster proof-of-concepts and high-performance computing could help scale Ozak AI's real-time capabilities for bigger financial operations, all while addressing privacy barriers that hold back adoption in high-stakes markets.
Closing Thoughts
Security and trust are key when dealing with financial predictions, and having a setup that keeps data private while still delivering fast results makes AI a lot more reliable and usable for everyone.
By teaming up Ozak AI's Prediction Agents with Phala's confidential computing stack, we're setting the stage for some new approaches to secure AI development and sparking fresh ideas across our communities.
We'll test things out openly, figure out what works best, and keep you updated on the progress.
Thanks for following along - let's build AI that's safer, more private, and better for real-world finance together.
