Peltarion
What is Peltarion?
Discover how Peltarion can enhance your workflow
Key Capabilities
What makes Peltarion powerful
Acquired & Closed
The platform was acquired by King in 2022 and the public service was subsequently discontinued with no new signups.
Alternatives
Point readers to managed training services fine tuning frameworks and hosted notebooks aligned to today’s stacks.
Docs & Links
Use credible archives and third party profiles to complete audits and academic references where needed.
Migration Paths
Encourage exports and rebuilds on supported platforms to regain patches governance and cost controls.
Key Features
What makes Peltarion stand out
- Acquired by King in 2022 status discontinued: Public access ended after acquisition and integration into King’s internal AI efforts
- Legacy visual designer and training suite: Component based CNN RNN and NLP modeling with minimal code now archived
- Hosted deploy endpoints no longer active: Former one click deployment is unavailable for new or returning users
- Dataset management and augmentation: Tools existed for splits and transforms recorded here for historical completeness
- Team collaboration and experiment tracking: Versioned projects and roles described in past documentation
- Documentation available in archives: Third party profiles and cached docs provide limited technical reference
- Migration guidance to modern tools: Recommend managed notebooks training and fine tuning stacks as replacements
- Compliance and security caveats: Use supported platforms to retain patches audits and vendor commitments
Use Cases
How Peltarion can help you
- Historical comparison for modern low code ML stacks to understand feature evolution and tradeoffs
- Academic coursework that still cites Peltarion now updated to point at supported alternatives
- Procurement records clean up that require an official discontinuation note for audits
- Migration projects exporting datasets and retraining on maintained platforms
- Market research into acqui hires and the consolidation of MLOps tooling
- Documentation hygiene where old screenshots and guides need deprecation notes
- Strategy reviews mapping visual AutoML features to current training orchestration
- Risk assessment highlighting support and patch gaps in legacy hosted platforms
Perfect For
researchers educators buyers and engineers who must document legacy platforms provide replacements and ensure current security and support posture
Tags
Quick Information
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Frequently Asked Questions
Is Peltarion still available?
Can I access old projects?
What should I use instead?
Why keep this entry?
Was Peltarion open source?
Does the company still exist?
Can I license the old software?
Where can I read more?
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