Serverless compute infrastructure for AI
Crunch datasets, deploy models, and construct pipelines
with the compute platform engineered for the modern data cloud
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Trusted by Professionals and Teams
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Data cloud compute, simplified
One solution to iterate on data models and pipelines, deploy them into production, and visualize generated insights
AI & Big Data Compute Runtimes
Kaspian empowers data teams to launch customizable and autoscaling clusters for popular runtimes, including Pandas, Spark, PyTorch, and Tensorflow, without dealing with devops hurdles or overpriced vendors
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Data Pipelining
Studio
Kaspian's native pipelining solution includes powerful abstractions for reading and writing data, introspecting historical data flows, managing metadata, and tracking performance and cost metrics
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AI Model Training & Hosting
Kaspian facilitates the training and hosting of AI models (including LLMs) by enabling both single and multi-GPU training batch jobs and allowing trained models to be easily hosted and accessed via an API
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Notebooks &
Dashboards
Kaspian comes bundled with popular data science tools, including a hosted JupyterHub instance for iterative model development and a hosted Apache Superset instance for dashboarding
300,000+
compute jobs successfully orchestrated
40%
average data cloud TCO reduction
99.99%
uptime guarantee enterprise SLA
Focus on leveraging compute,
not managing it
Application Control Plane
Leverage compute resources to generate insights at scale
Jobs – standalone compute workloads with support for open source orchestrators (ex. Apache Airflow)
Pipelines – low-code workflow graph builder GUI with a built-in orchestrator and scheduler
Notebooks – hosted JupyterHub instance for prototyping data workflows and developing AI models
Software control plane
Define the dependencies needed to run your workflows
Environments feature provides full control over the application runtime and dependencies
Environments can be specified using Docker images, Dockerfiles, or Pip/Conda requirements files
Environments can be used for any compute application, including batch jobs and Jupyter notebooks
Hardware Control Plane
Define virtual compute groups for different workload sizes and types
Clusters feature provides full control over instance size, configuration, and scaling via a simple GUI
Clusters autoscale automatically and spin down fully when not in use for maximal cost efficiency
Clusters can be used for any compute application, including batch jobs and Jupyter notebooks
Kaspian turbocharges
data teams
Built for teams that operationalize AI at cale
Shravan Sunkada
Sr. Manager, Data Science
Mohamed Ali Walji
CEO
Lisa Ittner
CEO
Olivier Vincent
CEO
Tuhin Srivastava
CEO
Ralf Echtler
Managing Partner
Driving AI innovation
across industries
Enterprise data platform, batteries included
Integrates with VCS, CI/CD, and GitOps systems
Highly available and autoscaling infrastructure
Integrates with notification and alerting systems
Transparent, usage-based pricing
Runs securely in your own VPC
GDPR-compliant, SOC 2 Type II in progress
FAQs
Kaspian offers the most comprehensive toolkit for teams looking to maximally leverage the modern data cloud. Our low-code pipelining studio, granular control planes, hosted integrations, and diverse compute runtime support set us apart.
Because Kaspian runs securely in your VPC, all of your data is stored and processed entirely within your cloud account. Kaspian is GDPR-compliant and working towards a SOC-2 Type II certification (progress report available on request).
Kaspian is considerably more performant and capable compared to vendors like Dataiku, Informatica, and Alteryx. Kaspian will also beat any vendor quote by at least 25%, and some clients have seen data cloud TCO reductions over 60%.
Kaspian offers a Free Forever tier that customers can utilize, no credit card required. Non-profits and schools can use Kaspian Enterprise for free; please contact us for more information on how to get started.