Understand the Granica outcome-based pricing model.
Here at Granica we measure, and charge for, the actual outcomes that each of our AI efficiency services deliver in your environment. The greater the monthly outcome the greater your bill, and vice versa. For Granica Crunch, our data reduction service for enterprise AI, that outcome is simply the cost-reduction (i.e. savings) it delivers for your AI data. You are then able to reinvest those savings into more and better data, labeling, training associated compute etc. so that you can increase your ROI on AI.
Outcome-based pricing for Crunch
Granica Crunch is free to deploy with no upfront costs. Sound good so far? It gets better. Once deployed and the Granica API is integrated with your apps, we measure how Crunch reduces your storage costs relative to the vanilla S3/GCS baseline. Here's how it works:
Check out the FAQ for calculation details. Importantly, once a given volume of data is reduced it keeps generating savings each and every month, perpetually (or until you choose to delete it). So now, what do we do with this continual stream of free money?
The answer is simple - we split it. Each month, you pay us a small % of the savings and keep the rest. And in the unlikely event Crunch** doesn't generate any savings, your bill will be $0.
Crunch makes data pay for itself
At this point you may be having a couple "Aha!" moments. First, where you realize that Crunch doesn't actually have a “price” like all consumption-based products do. After all, the “pricing” model is simply to share the savings outcome. And second, that Crunch does't actually cost budget, it generates budget. And that makes it is essentially risk-free from a financial POV.
By analogy, Crunch is a machine that prints free money. All you have to do is feed it your AI-related data and the more data you feed it, the more free money it prints. In effect, Crunch makes your data pay for itself - though of course you could choose to spend the money on anything you want. This may seem incredible but it’s true.
This is fantastic news for product teams, procurement teams and cloud operations teams alike as there is no need to find or re-allocate any incremental budget from other projects. Similarly there is no need to rely on TCO-based business cases (often filled with rosy assumptions) to try and demonstrate an attractive payback period, positive NPV, or hurdle-crossing ROI.
Instead, just consume the Granica API/SDK in your apps, let it securely and quickly bring deep efficiency to your data, and watch your savings grow (fast). And of course begin thinking about where reinvest those savings. Who knew AI efficiency could be so much fun!
To get a sense of just how much money were talking about, check out our savings analysis. TLDR:
- Granica Crunch saves between 45% and 90%, depending on our average data reduction rate (DRR)
- For a single PB growing 30% YoY over 3 years, Crunch saves ~$550k (at 50% DRR)
And as detailed in the previous section, the cloud infrastructure costs Crunch incurs in your environment is paid for out of the savings it generates. This means your and our interests and incentives are completely aligned. The more efficient we can be, the more money we both earn. And so it’s no surprise that our roadmap is chock-full of efficiency innovations that will deliver ever more value from every byte of your data.
The future is about outcomes
Pretty much everything else in the world of data infrastructure charges based on consumption. The more you use, the more you pay. But what if that usage isn’t actually translating into real value for you? Tough luck!
With Granica you simply pay for outcomes. Wouldn’t it be great if everything worked like this? In fact we highly recommend you ask your current vendors to provide an outcome-based pricing model as it is the ultimate customer-centric approach. And stay tuned because here at Granica, Crunch is just the beginning.