Atmantara's API Libraries for AI Deployment
Seamless Integrations
Whether you are integrating ATARA‑FD‑R1 into a real-time transaction pipeline or embedding ATARA‑PM‑V2 into your asset monitoring infrastructure, our libraries are designed to be:
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Plug-and-play: Easy-to-consume REST and gRPC interfaces
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Language-flexible: SDKs and client wrappers for Python, JavaScript/TypeScript, and Go
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Secure by default: Auth-ready with support for OAuth2, API key rotation, and JWT
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Monitoring-enabled: Built-in hooks for Prometheus, OpenTelemetry, and logging middleware
With these libraries, you can deploy, monitor, and scale Atmantara models with minimal setup, on-prem, in hybrid clouds, or embedded within your existing product stack.
Explore the libraries here:
github.com/Atmantara-GmbH/atmantara-ai
We are continuously expanding this repo with tools, client examples, and best practices. Contributions and feedback are welcome, join us in building the infrastructure for real-time, defensible AI in finance.

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