Pipefy
Pipefy is a low-code business process automation platform that enables you to design, deploy, and manage secure digital workflows to streamline operations and improve efficiency across your entire organization.
Valohai
Valohai is an MLOps platform that automates your machine learning pipeline from data preprocessing to model deployment while providing full version control and infrastructure management for your entire team.
Quick Comparison
| Feature | Pipefy | Valohai |
|---|---|---|
| Website | pipefy.com | valohai.com |
| Pricing Model | Freemium | Custom |
| Starting Price | Free | Custom Pricing |
| FREE Trial | ✓ 14 days free trial | ✓ 14 days free trial |
| Free Plan | ✓ Has free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2015 | 2016 |
| Headquarters | San Francisco, USA | Helsinki, Finland |
Overview
Pipefy
Pipefy is a powerful low-code platform designed to help you take control of your business processes without needing a team of developers. You can build custom workflows for everything from HR onboarding and procurement to customer service and finance. The platform uses a visual interface that lets you move tasks through different stages, ensuring that no request falls through the cracks and every team member knows exactly what to do next.
You can eliminate manual data entry by setting up smart automations and connecting your existing tools into a single, cohesive system. Whether you are a small team looking to organize your daily tasks or a large enterprise needing to standardize complex operations, Pipefy provides the structure and visibility you need to scale. It helps you identify bottlenecks in real-time so you can constantly refine your processes for better results.
Valohai
Valohai is an MLOps platform designed to take the manual labor out of machine learning. You can automate your entire pipeline, from data ingestion and preprocessing to training and deployment, without worrying about the underlying infrastructure. It acts as a management layer that sits on top of your existing cloud or on-premise hardware, allowing you to run experiments at scale while maintaining a complete record of every execution.
You can track every version of your code, data, and hyperparameters automatically, ensuring your experiments are 100% reproducible. The platform is built for data science teams in mid-to-large enterprises who need to move models from research to production faster. By providing a unified environment for collaboration, you can eliminate the 'it works on my machine' problem and focus on building better models rather than managing servers.
Overview
Pipefy Features
- Visual Workflow Builder Design your ideal process using a drag-and-drop interface to map out every step of your team's journey.
- Smart Forms Collect standardized information from stakeholders using conditional logic forms that show only the fields you actually need.
- Process Automation Set up triggers to automatically move cards, send emails, or update fields, saving you hours of manual work.
- Service Portals Centralize all your request forms in one place so your colleagues can find and submit what they need easily.
- Custom Reporting Track your team's performance with real-time dashboards that show you exactly where bottlenecks are occurring in your process.
- Shared Inbox Manage all your process-related emails directly within the platform to keep communication organized and visible to the whole team.
Valohai Features
- Automated Version Control. Track every experiment automatically, including the exact code, data, and environment settings used to produce your machine learning models.
- Multi-Cloud Orchestration. Launch jobs on AWS, Azure, Google Cloud, or your own local servers with a single click or command.
- Pipeline Management. Build complex, multi-step machine learning workflows that trigger automatically when your data changes or new code is pushed.
- Collaborative Workspace. Share experiments and results with your entire team in a centralized hub to prevent duplicated work and silos.
- Inference Deployment. Deploy your trained models as production-ready APIs directly from the platform with built-in monitoring and scaling capabilities.
- Hardware Optimization. Spin up powerful GPU instances only when you need them and shut them down automatically to save costs.
Pricing Comparison
Pipefy Pricing
- Up to 10 users
- Up to 3 active pipes
- 100 automation cards per month
- Basic reporting
- Public forms
- Everything in Starter, plus:
- Unlimited active pipes
- 50,000 automation cards per month
- Advanced reporting and dashboards
- Email templates and shared inbox
- Role-based access control
Valohai Pricing
Pros & Cons
Pipefy
Pros
- Highly customizable interface fits almost any business process
- Easy to set up automations without writing any code
- Centralizes communication by linking emails directly to specific tasks
- Visual Kanban boards provide excellent clarity on project status
Cons
- Mobile app functionality is limited compared to the desktop version
- Initial setup of complex workflows can take significant time
- Reporting tools have a slight learning curve for new users
Valohai
Pros
- Excellent reproducibility through automatic versioning of all assets
- Agnostic approach works with any language or framework
- Reduces DevOps overhead by managing cloud infrastructure automatically
- Intuitive CLI and web interface for experiment tracking
Cons
- Initial setup requires configuration of YAML files
- Pricing is not transparent for small teams
- Learning curve for users new to MLOps concepts