Kaeso vs YABANIN
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Kaeso compared with YABANIN
| Detail |
Kaeso |
YABANIN |
| What it does | Open-source AI gateway you run yourself
| Self-hosted AI infrastructure with measurable returns
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| Stage | Not given
| Not given
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| Founded | Not given
| Not given
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| Based in | Not given
| Not given
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| Pricing model | Open source
| Contact for pricing
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| Pricing | Not given
| Not given
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| Key features | - Single sign-on with OpenID Connect and two-factor authentication
- Format translation through KPP canonical format, allowing any SDK to call any model
- Spend and token budgets with hard limits that are never skipped
- Complete request logging with status, tokens, cost, timing and content when permitted
- Encrypted provider key storage with AES-256-GCM
- Web console for managing organizations, projects, members, roles and request logs
- Stateless Rust gateway for horizontal scaling
- Support for 14 built-in AI providers
- Docker Compose deployment with Caddy, PostgreSQL, Valkey and ClickHouse
- Error reporting that names unsupported fields instead of silently dropping them
| - Model provider support through a single common gateway
- Usage attribution to teams, tasks, and agents
- Agent workflows in Scala for repositories and code
- Apache-2.0 open-source core with enterprise deployment option
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| What makes it different | - OpenID Connect single sign-on and two-factor authentication included in the open-source code, not an enterprise edition
- Hard budgets with worst-case reserves for every request to prevent burst overruns
- Single MIT-licensed repository for gateway, console, KPP and UI library with no separate enterprise version
- Rust gateway architecture with no interpreter on the hot path for performance
| - Full visibility into AI costs attributed to specific teams, tasks and agents
- Self-hosted deployment keeps data and models under company control
- Model agnostic with support for multiple providers through one gateway
- Structured four-step implementation path with clear ownership and baselines
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 20 ▲ +17 (up) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 4 | 0 |
| Citation Flow (Majestic) | 19 | 0 |
| Referring domains (Majestic) | 15 | 0 |
4 details filled in for both companies.
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