Seldon

Enterprise-grade MLOps platform for scalable, compliant ML deployment and monitoring

Venture Funded$15M+Series AAmadeus Capital PartnersIQ Capital

machine learningmodel deploymentmodel monitoringscalability

About

Seldon provides a robust MLOps platform enabling enterprises to deploy, scale, and monitor machine learning models in production with strong governance and compliance support. Seldon's platform accelerates ML adoption while maintaining enterprise-grade reliability and auditability.

This description came from a bulk import and has not yet been checked against the vendor's own page. Treat it as unverified.

Enterprise Readiness

from cataloged data

Not scored. Nobody has checked this entry against Seldon’s own site yet, so the signals below are unverified and we will not turn them into a rating. The breakdown shows what our record holds.

Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityStrong

Flexible deployment: Cloud, On-Premise, Hybrid, Self-Hosted

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

6 documented use cases

Company MaturityStrong

Founded 2014 · Series A

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Enterprise Use Cases

Production ML model deployment

Real-time model monitoring and alerting

Automated model governance and compliance

Scalable multi-model serving

A/B testing and canary deployments

Model explainability and auditing

Integrations

KubernetesPrometheusGrafanaIstioKubeflowTensorFlow ServingMLflowSeldon Core

How Seldon compares

Tool	Readiness	Pricing	Deployment	Compliance	Integrations
Seldon	Not scored	Enterprise	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
Groq	Not scored	Enterprise	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
Weights & Biases W&B	Not scored	Freemium	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
Comet ML Platform	70 · Strong	Enterprise	Cloud, On-Premise, Hybrid, Self-Hosted	—	8

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is Seldon used for?

Seldon is enterprise-grade MLOps platform for scalable, compliant ML deployment and monitoring. It is commonly used for production ml model deployment, real-time model monitoring and alerting, automated model governance and compliance, and scalable multi-model serving.

Is Seldon free, and how is it priced?

Seldon uses enterprise pricing, typically a custom quote based on seats, usage, and requirements. Contact the vendor for a quote.

How can Seldon be deployed?

Seldon supports Cloud, On-Premise, Hybrid, and Self-Hosted deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.

What does Seldon integrate with?

Seldon documents 8 integrations, including Kubernetes, Prometheus, Grafana, Istio, Kubeflow, and TensorFlow Serving.

When was Seldon founded?

Seldon was founded in 2014 and has raised $15M+ in funding.

Is Seldon enterprise-ready?

Based on cataloged data, Seldon has an Enterprise Readiness score of 70/100 (Strong tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingEnterprise

DeploymentCloud, On-Premise, Hybrid, Self-Hosted

Founded2014

Funding$15M+

CategoryData & MLOps

Procurement

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