Sistava vs Referee.chat
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Sistava compared with Referee.chat
| Detail | 
Sistava | 
Referee.chat |
|---|
| What it does | Hire AI employees to run your business, around the clock
| An AI panel debates your goal; a referee rules on re-checkable evidence
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| Stage | Not given
| Not given
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| Founded | 2022
| Not given
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| Based in | NL
| Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | Starter $50/month, Builder $100/month, Founder $200/month, Leader $400/month. Custom enterprise available. Credit packs: Boost 1000 credits $6, Recharge 2000 credits $11, Power 3000 credits $15.
| Free: $1.00 starting credit once. Credit plans from $10 top-up with no expiration. Your own key: 5% infrastructure fee after the first $5.00 of usage.
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| Key features | - AI Employee Marketplace with pre-built roles
- 6-layer memory system for AI employees
- OAuth integration with 60+ apps
- Multi-channel communication via chat, email, voice, Slack, and API
- 24/7 autonomous work with approval gates
- Personal Assistant included with every account
- Multiple workspaces with isolated data and billing
- Alumni list preserving terminated employee history
| - Panel of up to six AI models from different vendors
- Referee rules on re-checkable evidence only
- Searches academic databases: arXiv, OpenAlex, Crossref, Europe PMC
- Executes Python code to verify claims
- Customizable acceptance standards
- Matches pause and resume without losing work
- Shared ledger prevents re-derivation
- Spending limit per match
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| What makes it different | - Built and operated by AI employees with one human founder guiding the company
- AI employees learn from experience and share knowledge across the entire team
- Complete transparency as an open company publishing company records and operating practices
- Clear approval paths and human control over all AI work
- Hands-on onboarding with one-on-one Applied AI Engineer sessions
| - Referee decides on evidence, not argument quality
- Panel from different vendors fails in different directions
- Stuck is a targeted question, not model thrashing
- Cost grows with ledger, not round count
- Published matches become research record
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 23 ▼ −1 (down) since last check | 2 ● no change since last check |
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| Trust Flow (Majestic) | 13 | 0 |
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| Citation Flow (Majestic) | 32 | 13 |
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| Referring domains (Majestic) | 116 | 31 |
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5 details filled in for both companies.
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