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DeepEval

Backed byY Combinator
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DeepEval is an open-source framework for evaluating LLM outputs. Define and run 14+ built-in metrics (faithfulness, relevancy, bias, toxicity) with just a few lines of Python. Integrates with CI/CD pipelines for continuous LLM quality testing.

Location
San Francisco, USA
Raised
$3.5M
Stage
Seed
Founded
2023
Category
Open Source
Funding
VC-backed
Team
10-50

Funding figures as of Jul 2025 Β· not independently verified

Founders of DeepEval

  • Jeffrey Ip

Investors backing DeepEval

  • Y Combinator

Frequently asked questions

What does DeepEval do?

DeepEval is an open-source framework for evaluating LLM outputs. Define and run 14+ built-in metrics (faithfulness, relevancy, bias, toxicity) with just a few lines of Python. Integrates with CI/CD pipelines for continuous LLM quality testing.

Where is DeepEval based?

DeepEval is based in San Francisco, USA.

When was DeepEval founded?

DeepEval was founded in 2023.

How much has DeepEval raised?

DeepEval has raised $3.5M in their Seed round as of Jul 2025.

Who founded DeepEval?

DeepEval was founded by Jeffrey Ip.

Who has invested in DeepEval?

DeepEval is backed by Y Combinator.

How DeepEval would pitch themselves

β—‹ Auto-generated
01Target customer

Developers + open-source communities + enterprises wanting an OSS-first tool in this category, with optional commercial support.

02Problem they solve

DeepEval is an open-source framework for evaluating LLM outputs. Define and run 14+ built-in metrics (faithfulness, relevancy, bias, toxicity) with just a few lines of Python. Integrates with CI/CD pipelines for continu… The category has historically been served by tools that miss the modern workflow this product is built around.

03Key differentiator

DeepEval differentiates on the open source llm evaluation framework. Backed by Y Combinator, $3.5M raised β€” the company has resources + validation to compound this thesis. Founded by Jeffrey Ip.

04Go-to-market strategy

Early-stage GTM β€” typically product-led growth (free tier or low-friction onboarding) paired with founder-led sales for the first 100 customers. Heavy content marketing + community presence on Twitter/X, LinkedIn, and category-specific Slack groups.

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