Arthur AIAI governance for everyone
vs
LangfuseOpen Source Agent Evals & Observability
Comparison · MLOps Platforms · weekly run Nov 2
Arthur AI vs Langfuse
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Langfuse is the stronger AI pick in MLOps Platforms: it has a visibility score of 0.3 versus 0 for Arthur AI.
Choose Arthur AI if…
- Flat tiers pricing suits your budget better than usage-based
Choose Langfuse if…
- You want the brand AI engines rank higher (0.3 vs 0)
- You want a lower entry price ($29 vs $60)
- You need a self-hosted or on-premises option
- You need ISO 27001 or HIPAA-ready region or GDPR coverage
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Arthur AI | Langfuse |
|---|---|---|
| Visibility score | 0% | 0.3% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #58 | #51 |
| Share of voice | 0% | 0.2% |
| Mentions this run | 0 | 1 |
| Positive in AI answers | — | 50% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Arthur AI 0pp · Langfuse 0pp over 0 weekly runs.
Engine by engine
Langfuse leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
Arthur AILangfuse
Head to head in AI answers
0 engine answers name both brands
0Arthur AI ranked higher
0Langfuse ranked higher
Features, pricing & fit
| Dimension | Arthur AI | Langfuse |
|---|---|---|
| Pricing model | Flat tiers | Usage-based |
| Entry price | Free; paid from $60 / mo | Free; paid from $29 / mo |
| Free plan | Yes | Yes |
| Deployment | Multi-tenant SaaS, single-tenant SaaS, dedicated or managed VPC, self-managed, cloud or on-prem | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license |
| Integrations | — | 100+ |
| Compliance | SOC 2 Type II | SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR |
| Support | Community and email support, Dedicated customer success manager (Enterprise), Dedicated channel, Uptime SLA | Community support via GitHub, In-app support, Private Slack or MS Teams channel on Pro and Enterprise plans, Named lead support engineer on Enterprise plans |
| Founded | 2018 | — |
| Headquarters | New York City, New York, United States | — |
| Employees | 11–50 | — |
| Funding | Series B · $60M raised | Seed · $4M raised |
| Best for | Enterprise security, audit, governance, engineering and product teams that need to find, control and ship AI agents and models | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation |
Plans side by side
Pros and cons
Themes from the AI answers that mention each brand
Arthur AI
Profile in progress.
Langfuse
- Discounted cloud pricing for qualifying early-stage startups
- Well suited to evaluating and debugging LLM or agent behavior
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Arthur AI vs Langfuse”, https://slateindex.ai/compare/arthur-ai-vs-langfuse, data of Nov 2, 2026. Licence: CC BY 4.0.