🚀 Hello Folks!

I’m Tejas, Co-founder of EfficientAI.

….We built the simplest AI platform which acts like the Uber of all AI platforms bringing the best of all the worlds in one place.

And today, we’re launching EfficientAI, the simplest AI platform that seamlessly works and scales on any cloud of your choice.

You define the prompt
We get you the inference from any cloud of your choice.

🔍 Why Did We Build EfficientAI?

My Co-founder @srivatsa_sinha who was part of Azure Machine learning team and myself having worked at AWS noticed customers often struggle navigating around these cloud platform as these have 100s of dials and toggle switches which customers don't really use or find it easy. We wanted to create a truly seamless, one-click MLOps platform with a unified API protocol across all clouds. On a broader sense we are also solving the below described problems.

No more juggling between AI platforms ( Sagemaker, Bedrock , Vertex, Azure OpenAI , Azure ML, Azure cognitive services).
No more switching between cloud SDKs
No more vendor Lock In to a particular cloud.
No more running into scaling & GPU quota issues on clouds.
Switch instantly between the same models for a cheaper pricing in a different cloud.

🛠 What Does EfficientAI Do?

One-click multi-cloud deployment.
Single API protocol to access any model in any cloud.
Switch between the same model in a different cloud in seconds.
Sit back and relax while we handle the scaling , no more limitation on token consumption or requests per endpoint.
Tenant Isolation & Granular Endpoint monitoring.
BYOC ( Bring your own cloud) to orchestrate models hosted in your own cloud ( Coming soon)

🎁 Special Launch Offer

For our beta users , we are willing to provide 20$ credits , which translates to about 5M - 20M tokens for free.
Note: Tokens depends on the pricing of the model which you are using.
👉 Website: https://efficientai.cloud
👉Request Access Now: Request Beta Access
📅 Book a Demo: https://calendly.com/tejasnarayan

We’d love to hear your thoughts and get your feedback!

Tejas Narayan

Maker

📌