| What it does | Autonomous AI teammates for software teams
| Put your business decisions on trial with competing AI agents
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| Stage | Not given
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| Founded | Not given
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| Based in | BR
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| Pricing model | Free trial
| Freemium
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| Pricing | US$120 per agent per month, with a 30-day free trial (card required, nothing charged until it ends). Larger teams pay less: the rate drops by $1 for each agent added through the ninth, settling at US$110 per agent from 10 onwards. You bring your own model key and pay the provider directly for tokens
| 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
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| Key features | - AI software engineer agent
- AI product manager agent
- AI QA engineer agent
- AI systems architect agent
- AI SRE (Nadia Serrano)
- GitHub, Linear, Slack and Microsoft Teams integration
- Incident investigation workflow
- Release verification
- Granular permissions per agent
- 30-day free trial with no credit card charge
| - 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
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| What makes it different | - No separate token metering—you bring your own model key and pay the provider directly
- Agents operate only with permissions you explicitly grant and can revoke
- All changes require human approval before reaching production
- One price per agent regardless of specialization
- Integrates with tools your team already uses
| - 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
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 28 ● no change since last check |
| Trust Flow (Majestic) | 0 | 9 |
| Citation Flow (Majestic) | 25 | 32 |
| Referring domains (Majestic) | 8 | 180 |