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Pricing
Starter: €20/mo (2.5K workflow executions)
Pro: €50/mo (10K executions)
Business: €667/mo (40K executions)
Free trial available
No public pricing
NVIDIA H200 GPU: $2.30
NVIDIA H100 GPU: $2.00
NVIDIA Blackwell Platforms: Pre-order
NVIDIA H200 GPU (On-demand): $3.50
NVIDIA H100 GPU (On-demand): $2.95
NVIDIA L40S GPU with AMD (On-demand): from $1.82
NVIDIA L40S GPU with Intel (On-demand): from $1.55
No public pricing
DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month
Core features
- ✦Flexible AI workflow automation
- ✦Combines code and no-code development
- ✦On-premise or cloud hosting options
- ✦Over 500 integrations and custom tool support
- ✦Multi-step AI agent creation
- ✦Self-hosting capability including AI models
- ✦Chat with your own data (e.g., via Slack, Teams)
- ✦Advanced debugging tools (re-run single steps, mock data)
- ✦1700+ workflow templates
- ✦Enterprise-grade security and collaboration features (SSO, Git control, RBAC)
- ✦AI-powered code autocompletion
- ✦Context-aware code referencing and chat
- ✦Natural language code editing
- ✦Customizable AI code assistants
- ✦Flexible architecture for scaling AI workloads
- ✦Pre-configured NVIDIA GPU accelerators with high-performance InfiniBand
- ✦AI Studio for fine-tuning AI models
- ✦Managed Kubernetes and Slurm-based clusters
- ✦Competitive pricing for NVIDIA GPUs
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦Developer-first platform for AI-powered integrations
- ✦Secure, isolated sandboxes for running JavaScript/Python code
- ✦Automatic management of npm/PyPI dependencies
- ✦Built-in platform plumbing: secrets, webhooks, scheduling, logs, and audit
- ✦Yep Agent (prompt → runnable processes)
- ✦MCP Server/Tools (convert code into AI agent tools)
- ✦Serverless runtime (YepCode Run) and SDK access
Use cases
- →On-boarding new employees for IT operations
- →Enriching security incident tickets for security operations
- →Converting natural language into API calls for DevOps
- →Generating customer insights from reviews for sales teams
- →Automating user management
- →Integrating marketplace data sources
- →Creating AI agent chatbots
- →Scraping and summarizing webpages with AI
- →Accelerate development with AI-powered autocompletion.
- →Improve code understanding with context-aware chat.
- →Refactor code using natural language instructions.
- →Fine-tuning open source models into specialized AI solutions
- →Revolutionizing drug discovery, biotechnology, genomics, and healthtech
- →Orchestrating and scaling AI environments using Managed Kubernetes or Slurm
- →Deploying MLflow, PostgreSQL, and Apache Spark with zero maintenance effort
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Building complex API integrations that require custom code and logic beyond what no-code tools offer.
- →Safely running AI-generated scripts in isolated environments with secrets management.
- →Automating workflows that require large datasets, loops, branching, or custom dependencies.
- →Connecting AI agents to external databases, APIs, and services using MCP tools.
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