Valohai logo
0(0 reviews)
Software Status:Active

About Valohai

Valohai is a MLOps platform from Valohai that enables CI/CD for machine learning and pipeline automation on-premises and across any cloud. It provides framework-agnostic machine learning capabilities, automatic versioning with complete lineage of the ML experiments, and support for single, multi, or hybrid-cloud environments so teams can effectively scale ML development. Additionally, users can start for free and the platform offers platform's features. Valohai automatically versions every run to preserve a full timeline of work. Key capabilities: CI/CD support on-premises deployment cloud flexibility full experiment lineage free trial option Best for: data science teams that need reliable tools for managing machine learning workflows.

Valohai Details

Vendor
Valohai
Year Launched
2016
Location
HQ Linnakatu 16, Turku, Turku 20100, Finland
Deployment
cloud, on premise, windows, linux
Training Options
documentation, videos, live online, in person
Countries Served
All Countries.
Languages
English, Finnish, German, Spanish, French, Italian, Dutch, Portuguese
Users
Data Scientists, MLOps Engineers, AI/ML Researchers, Enterprises (e.g., Onc.ai, KONUX, Preligens), DevOps Teams integrating ML workflows
Industries Served
Healthcare, Manufacturing, Publishing, Robotics, Agriculture, Logistics, Retail, AI Research
Tags
Machine Learning, Valohai

Valohai's In-App Market Place

Does Valohai have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), SEK (kr), NOK (kr), DKK (kr), NZD (NZ$)

Pros & Cons

  • Excellent collaboration and traceability features for ML teams
  • Scalable infrastructure with automated deep learning pipelines
  • Easy deployment and version control for TensorFlow and other frameworks
  • Intuitive interface with strong support for remote and distributed teams
  • Responsive customer support and fast onboarding experience
  • Limited documentation for advanced pipeline configurations
  • Debugging can clutter Git commit history without squash
  • Initial UI may feel underwhelming or overly simplistic
  • Lack of advanced plotting tools for training metrics
  • Some pipeline tagging limitations across execution steps

Valohai's Support Options

Valohai's Alternatives