Ozak AI x Google
We’re excited to announce that Ozak AI has been accepted into the Google Cloud Ecosystem Startup Program - a milestone that comes with up to $200,000 in cloud credits, access to Google’s AI and infrastructure stack, and direct support from their team.
For us, this is a strategic boost that puts serious fuel behind the core of what we’re building: real-time, agentic prediction infrastructure designed for the next generation of financial and data-driven systems.
With this support, we’ll be expanding our compute capabilities for training larger models, scaling real-time data ingestion, and accelerating the launch of smarter, faster prediction agents.
We’re grateful to the Google Cloud team for backing a vision that goes beyond the typical startup playbook - and for believing, like our early supporters, that open predictive intelligence has a place in tomorrow’s stack.
Why This Grant Matters
The Google Cloud Ecosystem Startup Program is a curated, resource-rich initiative designed to accelerate startups building high-impact, technically ambitious products. Most teams accepted into the program are well into their venture journey, often post-Series A with millions in committed capital.
Ozak AI, on the other hand, has so far wrapped up a $1.2M+ presale raise and closed out Phase 3 of our token presale. That makes this grant even more meaningful.
And the alignment couldn’t be clearer.
Ozak is building real-time prediction infrastructure designed to operate across financial markets, blockchains, and decentralized systems. To do that at scale, we need serious compute, mature tooling, and reliable infra support. Google Cloud brings all of that to the table - and now it’s officially part of our journey.
What Ozak AI Gains
With our entry into Google’s Ecosystem Startup Program, we’re gaining access to a world-class toolkit designed to supercharge everything we’ve been building behind the scenes.
Up to $200,000 in Cloud Credits
These credits will be deployed toward high-throughput model training, simulation environments, and real-time data pipelines - giving our team the muscle to iterate faster and scale smarter.
Access to Google’s AI Suite
Vertex AI, TensorFlow, TPU acceleration; we now have direct access to Google’s most advanced AI frameworks. This will let us fine-tune and test larger, more complex agents that react quicker and forecast smarter - without cutting corners on performance or cost.
Infra for Builders, Not Just Backends
Google’s cloud stack isn’t just infra - it’s builder tooling. With support for managed Kubernetes, event-driven streaming, and BigQuery pipelines, we can now orchestrate multi-agent architectures that handle heavier data loads, multiple asset classes, and more advanced strategy logic.
Direct Engineering Support
As part of the program, our team gets direct access to Google Cloud engineers and AI specialists - a key advantage as we fine-tune performance and push to production.
For Ozak AI, this grant doesn’t change our mission - it just gives us more leverage to execute it at a higher level.
What This Means for the Product
This isn’t just a backend upgrade - it’s a tangible boost to what Ozak users will soon experience on the front lines.
Faster, Sharper Prediction Agents
More compute means we can run more experiments, test more models, and compress our iteration cycles. Expect agents that respond to real-time data with even sharper accuracy - whether they’re predicting BTC moves or generating structured forecasts for DeFi markets.
Bigger Data, Broader Coverage
With scalable pipelines now at our fingertips, we’ll be expanding support for new asset classes, data types, and market conditions. That includes deeper macro indicators, on-chain behavioral metrics, and global sentiment feeds - all processed in real time.
Better Simulation & Testing
Cloud credits let us simulate high-frequency, multi-agent environments at scale - so we can test edge cases, stress scenarios, and strategy reactions before they hit the real world.
Lower Latency, Higher Confidence
The Google Cloud backbone ensures that our backend infra can keep up with our fastest agents. Combined with our low-latency streaming architecture, this will help us maintain sub-second inference loops even as the platform scales.
In short, this partnership translates directly into better performance, wider coverage, and more reliable AI predictionsfor every trader, builder, and analyst using the Ozak platform.
Ecosystem Validation
The fact that Google Cloud chose to back Ozak AI at this stage, with this level of support, speaks volumes. It validates what our early investors, community, and partners have already seen: that real-time, agentic prediction isn’t just possible - it’s inevitable.
It also reinforces our approach to infrastructure. At Ozak, we believe in using the best tool for each layer of the stack:
- Decentralized compute via partners like OpenGPU
- On-chain storage and execution through Arbitrum Orbit
- And now, high-performance model training and orchestration on Google Cloud
This hybrid model isn’t a compromise but a strategy. One that balances scalability, resilience, and performance without locking users into any single ecosystem.
So when a major cloud player like Google aligns with that vision - especially for a prelaunch team like ours - it’s not just a boost in resources. It’s confirmation that we’re building in the right direction, at the right time.
Closing Thoughts
We started Ozak AI with the belief that high-performance predictive intelligence shouldn’t be locked behind proprietary systems, expensive infrastructure, or institutional paywalls. This grant from Google Cloud moves us one giant step closer to that reality.
It gives our team the resources to build faster, scale smarter, and deliver sharper tools for the builders, traders, and developers who will power the next wave of real-time, AI-first applications.
To the Google Cloud team: thank you for recognizing the potential in what we’re building - and for backing it early.
To our community: this win is yours too. Your support helped us reach this milestone, and we’re just getting started.
Onward and upward.
More signals. More agents. More edge.
