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About

Espresso AI is a data-warehouse optimization system built to reduce the compute and query costs of platforms like Snowflake and Databricks SQL by deploying machine-learning agents that manage scaling, scheduling, and query rewriting in real time. It layers three core agents; an autoscaling agent that predicts workload spikes and minimizes idle compute, a scheduling agent that routes queries dynamically across clusters to maximize utilization and significantly reduce idle time, and a query agent that rewrites SQL using large language models combined with formal verification to ensure equivalent results while improving efficiency. It offers fast deployment (minutes rather than months) and a pricing model tied to savings, so that if it does not reduce your bill, you don’t pay. By automating hundreds of thousands of optimization decisions per day, Espresso AI provides dramatic cost reductions while enabling engineering teams to focus on value-add features.

About

Make your Kubernetes autoscaling proactivе. From reactive scaling to proactive, with PredictKube, you’ll be able to finish autoscaling before the load rise thanks to predictions made by our AI model. Our AI model can start working with the data for 2 weeks to provide you with reliable prediction and autoscaling. The predictive Keda scaler named PredictKube helps you to minimize time-wasting on manual setup of autoscaling and gives you an automated performance. We made our KEDA scaler out of the top-notch technologies available for Kubernetes and AI. Input the data for 1+ week and get proactive autoscaling up to 6 hours horizon based on AI prediction. The right time for scaling is selected by our trained AI model that analyzes your historical data and can utilize the data of custom and public business metrics that can affect the traffic load. We’ll support free access to API in general with all basic features available to provide autoscaling possibilities.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Large-scale data engineering teams and organizations seeking a solution to slash infrastructure costs while maintaining performance and letting their engineers focus on analytics rather than infrastructure tuning

Audience

Companies searching for an AI-based predictive autoscaler solution for Kubernetes to automate their process performance

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Espresso AI
Founded: 2023
United States
espresso.ai/

Company Information

PredictKube
United States
predictkube.com

Alternatives

Alternatives

Categories

Categories

Integrations

Amazon Web Services (AWS)
Databricks
Google Cloud Platform
Kubeflow
Kubernetes
Kuna Exchange
Microsoft Azure
Prometheus
SQL
Snowflake
TensorFlow
Velas

Integrations

Amazon Web Services (AWS)
Databricks
Google Cloud Platform
Kubeflow
Kubernetes
Kuna Exchange
Microsoft Azure
Prometheus
SQL
Snowflake
TensorFlow
Velas
Claim Espresso AI and update features and information
Claim Espresso AI and update features and information
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Claim PredictKube and update features and information