Tallyfy
Tallyfy is a cloud-based process management and workflow automation software that helps you document, track, and automate repeatable business processes without using complex flowcharts or messy spreadsheets.
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 | Tallyfy | Valohai |
|---|---|---|
| Website | tallyfy.com | valohai.com |
| Pricing Model | Subscription | Custom |
| Starting Price | $25/month | Custom Pricing |
| FREE Trial | ✓ 14 days free trial | ✓ 14 days free trial |
| Free Plan | ✘ No 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 | 2014 | 2016 |
| Headquarters | St. Louis, USA | Helsinki, Finland |
Overview
Tallyfy
Tallyfy helps you transform your static SOPs and messy spreadsheets into living, breathing workflows. Instead of drawing complex flowcharts that nobody follows, you can create simple, checklist-based processes that your team can actually execute. You can hide or show tasks based on powerful rules, ensuring that everyone only sees what they need to do at the right time.
The platform eliminates the chaos of chasing people for status updates by providing real-time visibility into every active process. You can easily onboard new employees, manage client requests, and ensure compliance across your entire organization. It is designed for teams that need to scale their operations without adding administrative overhead, making it a favorite for operations managers and department heads in professional services and finance.
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
Tallyfy Features
- Dynamic Logic Show or hide specific tasks based on previous answers so your team only sees steps relevant to their current situation.
- Structured Data Capture Collect specific information through form fields within tasks to ensure you have all the data needed for the next step.
- Real-time Tracking Monitor the progress of every active workflow from a single dashboard and identify bottlenecks before they cause delays.
- Automated Handoffs Notify the next person in line automatically as soon as a task is completed to keep your projects moving forward.
- Guest Access Invite clients or external partners to complete specific tasks in your workflow without requiring them to create an account.
- Template Versioning Update your process templates and instantly apply those changes to all active runs to keep your team on the latest version.
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
Tallyfy Pricing
- Unlimited view-only guests
- Unlimited process documentation
- Basic folder organization
- Standard support
- Document export options
- Everything in Docs, plus:
- Unlimited active process runs
- Conditional branching logic
- App integrations via Zapier
- Reporting and analytics
- Custom branding options
Valohai Pricing
Pros & Cons
Tallyfy
Pros
- Eliminates the need for complex flowcharting
- Intuitive interface makes team adoption very fast
- Powerful conditional logic handles complex scenarios
- Guest features simplify client data collection
Cons
- Mobile app experience is less polished
- Initial setup of complex logic takes time
- Higher price point than basic task managers
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