The fridgecar Advantage
fridgecar will turbocharge the retrieval of your previously frozen data.
- From Hours to Milliseconds
- Traditional "Cold Storage" is like a bank vault located in another city. fridgecar acts like a high-speed pneumatic tube, "thawing" that data and delivering it to your active workspace instantly.
- Zero-Egress Transit
- Moving large amounts of data usually comes with a massive "Cloud Tax." fridgecar uses a proprietary transit fabric to move data between clouds without the typical price gouging.
- Active Intelligence
- Most data is frozen because it's too expensive to use. We make it cheap and fast enough that you can actually point an AI at your entire 10-year history and get answers in real-time.
- Seamless Integration
- You don't have to move your data to a new provider. fridgecar sits on top of your existing AWS, Azure, or Google Cloud buckets and simply 'upgrades' their speed.
Estimate Your Annual TCO Savings
Drag the slider to represent your archived data volume.
Estimated Annual Savings
$450,000
Simple, Transparent Pricing
Pay once, move data forever. No hidden fees.
Starter
- Zero-Tax Transit
- Up to 1 PB egress
- Sub-second retrieval
- Community support
Express
- Zero-Tax Transit
- Up to 10 PB egress
- Sub-second retrieval
- Dedicated support
Enterprise
- Zero-Tax Transit
- Unlimited egress
- Sub-second retrieval
- 24/7 priority support
Technical Deep-Dive
From the Founders
Data shouldn’t have a speed limit.
We are standing at the precipice of a new technological epoch. The advent of generative AI has unlocked possibilities we once relegated to science fiction. But this revolution is built on a foundation of data—vast, sprawling, and, all too often, inert. For too long, the most valuable data has been locked away in cold storage, trapped in a state of digital permafrost.
The cost of this inertia is measured not just in egress fees and retrieval delays, but in lost opportunities. The insights that could drive the next breakthrough, the patterns that could predict the next market shift, the knowledge that could power truly intelligent systems—all remain just out of reach.
fridgecar was born from a simple, audacious question: What if cold storage had the speed of hot storage? What if you could query petabytes of archived data with sub-second latency?
We envisioned a world without data temperature tiers. A world where every byte, from the moment of its creation to its archival, remains instantly accessible, ready to be mobilized for the most demanding AI workloads. This isn't about faster backup and recovery; it's about transforming the very nature of data archival into an active, strategic asset for the private AI era.
By eliminating the concepts of "thawing" and "rehydration," we are paving the way for enterprises to build more powerful, efficient, and secure AI models on their own proprietary data. This is the future of the data-driven enterprise. This is the promise of fridgecar.
— The Founding Team, fridgecar
How It Works
fridgecar uses a headless metadata index and a secure, custom protocol to provide instant access to cold storage archives.
DATA PERMAFROST
AWS S3 Glacier / Azure Archive
FC-TLS
Headless Metadata Index (HMI)
LIQUID ASSET
Active AI / Edge Cache