Assess
FreeWhere you stand between the two axes, and where specialized intelligence makes sense.
And not all data is in the public domain. General-purpose AI models cannot utilize your data — and you should not give it away either. Gradient zero builds specialized intelligence that lives on yours.
The AI inference market is the fastest-growing market in AI at the moment — and it’s unprecedented.
What intelligence is derived from.
Current implementations demand a lot of it.
Companies need and want more and more of them.
There are plenty of options between the axes of controlling the deployment and customizing the intelligence. This need is what the inference market is serving.
A leading general-purpose model, rented through an API. The provider runs it and decides how it changes.
Control: low, Customization: low
With a closed model, your data goes to the provider and the tuned weights stay there.
Control: low, Customization: medium
Open-weight models served on rented capacity. You choose the model; the provider runs the infrastructure.
Control: medium, Customization: low
Open-weight models on GPUs you rent or own. Full control of the deployment, but the intelligence stays general-purpose.
Control: high, Customization: low
Open-weight models adapted to your data with open-source training runs, then served on managed infrastructure.
Control: medium, Customization: high
Trained on your data and deployed where you decide. Owned, not rented.
Control: high, Customization: high
Not sure where you stand? The first assessment is free.
Book a callAvailable to rent with just a credit card and a few clicks.
Offered as a service.
Open source and easy to use.
Specialized AI has been adopted by a few, often with great upside.
Owning specialized intelligence, compared to renting it, comes with the typical investment of ownership — and therefore careful planning.
We at Gradient zero combine decades’ worth of experience and assess, plan and build your AI needs for you.
Where you stand between the two axes, and where specialized intelligence makes sense.
Owning intelligence is an investment. It calls for careful planning.
Your specialized model, from your data to its deployment.