Unleash the full potential of your ML models.
Censius AI offers custom pricing plan
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Censius AI is the go-to platform for businesses to observe, detect and maintain dependable ML models throughout their lifecycle. With complete end-to-end transparency, firms can quickly detect and address issues, safeguarding against model failure and optimizing ML performance. Companies can ... Read More
Yearly plans
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Starter
Users: Unlimited
Models: Upto 5
Predictions per Model per Month: 500k
Features per Model: 500
Dashboards per Model: 1
Data Retention: 3 months
SLA: Email and chat support
Pro
Users: Unlimited
Models: Upto 10
Predictions per Model per Month: 5 Million
Features per Model: 500
Dashboards per Model: 5
Data Retention: 12 months
SLA: Email and chat support
Enterprise
Users: Unlimited
Models: Unlimited
Predictions per Model per Month: 10 Million (unlimited for on-prem)
Features per Model: 1000
Dashboards per Model: Unlimited
Data Retention: Customizable
Priority Support: Included
SLA: Custom
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Disclaimer: Pricing information for Censius AI is provided by the software vendor or sourced from publicly accessible materials. Final cost negotiations and purchasing must be handled directly with the seller. For the latest information on pricing, visit website. Pricing information was last updated on .
8.1/10
Spot Score
Customer Service
Online
Location
Austin, Texas
Censius AI is the go-to platform for businesses to observe, detect and maintain dependable ML models throughout their lifecycle. With complete end-to-end transparency, firms can quickly detect and address issues, safeguarding against model failure and optimizing ML performance. Companies can easily expand their ML observability at scale, accessing the data needed to guarantee model dependability and accuracy. Censius allows businesses to ensure their models continually provide reliable results, optimizing their ML investments.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
Researched by Rajat Gupta
