
Future AGI AI Evaluation SDK
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| Fact | Future AGI AI Evaluation SDK | Langfuse |
|---|---|---|
| Evaluation | Its evaluation product includes heuristic, code, LLM-as-judge, and agentic evaluations, with templates and CI/CD support. | Evaluation features include LLM-as-a-judge, code evaluators, user feedback, manual labeling, datasets, and experiments. |
| Funding | Preqin reports a $1.6 million February 2025 pre-seed round co-led by Powerhouse Ventures and Snow Leopard Ventures. | Crunchbase lists one seed funding round with five investors, including Y Combinator, La Famiglia, and Lightspeed Venture Partners, but hides the total amount. |
| Headquarters | San Francisco, California, United States; Bengaluru, Karnataka, India | Berlin, Germany; San Francisco, United States |
| Integrations | Future AGI documents integrations with OpenAI, LangChain, LlamaIndex and more than 30 frameworks. | Langfuse lists more than 100 integrations spanning OpenTelemetry, Python and TypeScript, model providers, agent frameworks, gateways, and developer tools. |
| Rating on G2 | 4.8 out of 5 from 12 reviews. | 4.5 out of 5 from 1 review |
| Rating on Gartner Peer Insights | 3.0 out of 5 from 1 rating. | 4.6 out of 5 from 5 ratings |
| Security | Future AGI states SOC 2 Type II, ISO 27001, GDPR, CCPA and HIPAA certification, with ISO 42001 in progress. | Langfuse reports annual SOC 2 Type II and ISO 27001 audits, external penetration tests, encryption, access controls, GDPR compliance, and a HIPAA-ready region. |
| Self-hosting | Future AGI says its Docker Compose self-hosted deployment keeps traces, datasets, evaluations, and model calls within the customer's network. | The OSS edition can be deployed with Docker Compose, Kubernetes Helm, or Terraform guides for AWS, GCP, and Azure, including offline or air-gapped installations. |
Future AGI suits startup and enterprise teams building or operating AI agents. It may fit teams that need evaluation, tracing, simulation, or self-hosting options.
Langfuse suits teams building AI agent applications that need tracing, prompt management, and evaluation tools. It also supports teams that want to self-host the core on their own infrastructure.