Deliver your insights to any customer, with any data, in any country, on any infrastructure, securely.
FEDERATED INFRASTRUCTURE
Fix data governance with architecture
Legacy SaaS architectures expose customer data to harvesting and leakage. Keep customer data safe while delivering a SaaS experience.
DATA CUSTODY
Organizations are increasingly hesitant to transfer data to third-parties for insights. From practical problems like data gravity to increased regulatory restrictions, data is becoming increasingly immobile.
The rise of Large Language Models and other Generative AI are making the problem even worse.
PROXIML SOLUTION
If you can't bring the data to the model, bring the model to the data
proxiML's federated infrastructure platform lets you deploy models inside your customer's infrastructure easily and securely.
It only takes 4 steps.
FEDERATION IN PRACTICE
Manage 1,000s of customer deployments seamlessly
Fully Automated
Our Python SDK makes it easy to programmatically execute jobs on customer infrastructure. Just provide the job specification and proxiML handles the rest.
Centralized Management
Manage and support 1000s of separate deployments through a single pane of glass. Reuse base models across customers seamlessly.
Data Partnerships
Forge more equitable data sharing relationships with customers. Easily separate data for inference and data shared for base model improvements.
DATA PITFALLS
Many analytics companies and initiatives fail because of antiquated thinking about data. Don't make these mistakes.
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