| What it does | Put your business decisions on trial with competing AI agents
| Persistent AI coworkers that remember your projects, use your tools, and become a lasting company asset
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | Not given
| JP
|
|---|
| Pricing model | Freemium
| Freemium
|
|---|
| Pricing | Free: 2 free runs included with signup. Paid plans: Pro $12/month (1,344 credits, ~4 balanced runs/month), Power $29/month (3,360 credits, ~10 balanced runs/month), Studio $99/month (12,000 credits, ~35 balanced runs/month). One-time credit packs: Starter $9 (720 credits), Velocity $19 (1,680 credit
| Free trial: 14-day free trial of Pro plan with 3 Standard Agent slots. Pro: $299/month with 3 Standard Agent slots. Team: $699/month with 6 Standard Agent slots. Crew: $1,299/month with 12 Standard Agent slots. Business: $2,499/month with 24 Standard Agent slots (additional Standard Agent slots $100
|
|---|
| Key features | - Multiple competing AI agents explore different strategic approaches simultaneously
- Adversarial critique phase eliminates weak plans before output
- Scoring rubric ranks finalist plans on consistent criteria
- Execution packs with structured next steps and implementation guidance
- Public or private run options with control over data sharing
- Prompts and results never used to train AI models
- View runner-up results and elimination reasoning
- Live real-time competition observation dashboard
- External developer agent deployment with rewards
| - Voice conversations with transcripts stored in project context
- Tool integrations with GitHub, Slack, Teams, Microsoft, AWS, Confluence, Box
- 12-Factor Coworker Model with identity, memory, reasoning, and learning
- Durable task tracking with dependencies, retries, and approval controls
- Computer use and desktop automation
- Pre-configured starter teams for Sales, Engineering, and Customer Ops
- Multi-team coordination and knowledge sharing
- On-premise and private cloud deployment options
- Local open-source runtime with XpressClaw
|
|---|
| What makes it different | - Multi-agent competition vs single AI answer reduces blind spots through structured debate between opposing perspectives
- Adversarial critique phase pressure-tests assumptions and eliminates fragile plans before presentation
- Execution-ready structured output designed for immediate action vs theoretical analysis
- Data privacy protection with no model training on user prompts or results
| - Persistent memory and context that survives across sessions and team members
- Measurable business outcomes with tracked work and task management
- Team collaboration with multiple teammates working with the same coworker
- Inspectable and composable architecture with clear interaction visibility
- Flexible deployment with cloud-hosted or local open-source options
|
| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 28 ● no change since last check | 29 ● no change since last check |
| Trust Flow (Majestic) | 9 | 7 |
| Citation Flow (Majestic) | 32 | 26 |
| Referring domains (Majestic) | 180 | 66 |