| What it does | Self-hostable AI workflow automation platform
| Typed, always-valid fields with calibrated checks and calibrated decisions, in milliseconds
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | Not given
| Not given
|
|---|
| Pricing model | Freemium
| Paid
|
|---|
| Pricing | Community: Free (1 user, 10 workflows, no license key); Starter: $19/month (3 users, 25 workflows, 3 activations); Pro: $59/month (10 users, 150 workflows, 10 activations); Unlimited: $149/month (25 users, unlimited workflows within fair use, 25 activations); Enterprise: Custom Quote
| $2 free credit per new account. Simo-1 Pro costs $0.03 per million input tokens, with output free.
|
|---|
| Key features | - Conversations triggered from chat, forms, schedules, or events with model, tool, and API calls
- Graph and YAML workflow control with typed contracts and version control
- Reusable actions, LLM calls, capability bindings, and external system connections
- Managed memory, retrieval-augmented context, and MCP integration
- Human review points with conditionals, loops, segmentation, and live handoff
- Multilingual assistants across web, messaging, social, and custom channels
- Source-available codebase with full infrastructure control
- No message volume or workflow execution billing
- Deployment across on-premise or cloud infrastructure
- GDPR and compliance support with self-managed storage and audit trails
| - Calibrated probabilities
- Text, screenshot and video analysis
- Millisecond latency
- Agent security with Simo Guard
- Visual QA assertions
- Document and form reading
- Video event detection
|
|---|
| What makes it different | - Complete self-hosting and data control without third-party data handling
- Fair Core License permits use for any purpose except competing use
- Predictable license-key pricing with no message or execution metering
- One runtime connects conversations, actions, memory, and tools across multiple channels
- Custom actions, channels, and extensions for enterprise deployments
| - System 1.5 approach: one-pass reflex with calibrated probabilities and necessary deliberation
- Calibrated probabilities you can threshold
|
| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 40 ● no change since last check | 10 ▲ +10 (up) since last check |
| Trust Flow (Majestic) | 20 | 4 |
| Citation Flow (Majestic) | 28 | 20 |
| Referring domains (Majestic) | 275 | 5 |