Valohai

The booklet shows how Preligens, KONUX, and Sharper Shape apply MLOps best practices using Valohai.

Conduit logs calls to OpenAI, Anthropic, or compatible providers with model, token, and cost details, requiring no code changes.

Connecting data and deep learning projects in a scalable way is a difficult problem. Valohai datasets make implementing a unified process around data effortless through automatic versioning, sharing, and clear linkage between steps and datasets.

Stop rebuilding the same things. The AI Factory Playbook shows how to scale AI work with reusable building blocks, shared evaluation, and governance that will not slow teams down.

A free six-module LLM course built around the parts that matter in production: evals, cost, and quality drift. By Valohai.

The company’s eBook provides engineering best practices for data scientists.

The page compares managed MLOps platforms and custom open-source ones, listing pros and cons.

The page helps calculate potential savings in team productivity, overhead, and infrastructure with a managed MLOps platform.

Valohai is available at two pricing tiers: Pro and Enterprise. Ask for more pricing information or book a 1:1 demo to discuss more.

The page compares Domino Data Lab and Valohai to help users choose the better platform for their needs.

SageMaker is limited to AWS, and Valohai may serve as an alternative for teams using GCP or Azure.

The page introduces the problem space and compares Valohai and Databricks in detail.

Kubeflow is an open-source machine learning platform for Kubernetes; alternatives may be needed if Kubernetes is not a strength.

Valohai aims to free machine learning teams from repetitive tasks and help data scientists focus on model building.

Being an ML Pioneer is hard enough. Without proper tooling, it’s just about impossible. ML pioneers choose Valohai.

Valohai supports AI products combining LLMs and specialized models, enabling evaluation and deployment of configurations on real data.

Appendix: Valohai Data Protection Agreement (Customer)

Valohai outlines its privacy policy under GDPR as a data controller.

Valohai Privacy Policy. GDPR Processor

Valohai terms of service and GDPR statement

Valohai expands its MLOps platform availability by listing it on Oracle Cloud Marketplace. The solution is now deployable on Oracle Cloud Infrastructure (OCI), enabling users to integrate Valohai’s machine learning operations tools into Oracle’s cloud environment.

Sep 2025valohai.comNews article

OVHcloud partners with Valohai to combine its European cloud infrastructure with Valohai’s MLOps platform, enabling businesses to streamline AI and machine learning workflows. The collaboration integrates OVHcloud’s scalable cloud services with Valohai’s tools for managing, automating, and scaling AI projects under the Open Trusted Cloud program.

Aug 2024OVHcloudNews article

Valohai introduces enhancements to its platform, focusing on streamlining machine learning operations (MLOps). The update aims to automate workflows from data preparation to model deployment, addressing key pain points in AI development pipelines. Developers gain tools to accelerate experimentation and deployment cycles without manual intervention.

Feb 2021valohai.comNews article

Valohai secures $1.8 million in funding to expand its machine learning platform-as-a-service. The round is led by Superhero Capital, with additional support from Reaktor Ventures and Business Finland. The company leverages the platform to streamline machine learning workflows for businesses.

Mar 2018Tech.euNews article