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    3. LLM Stats

    LLM Stats

    To ensure AI is built on truth by creating the largest collection of high-quality evaluations across all AI modalities (language, vision, code, reasoning, etc.).

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    At a Glance

    1Tool Listed
    4Products
    85Tool Views
    5Capabilities
    Discussions
    New York, NYHeadquarters
    2025Est.
    2Employees
    $500000Raised
    Focus Areas
    LLM Evaluations
    Performance Metrics
    Academic Research
    Connect
    Latest News
    ZeroEval joins Y Combinator S25 batchJan 1, 2025
    LLM-Stats reaches 200k monthly organic active usersJan 1, 2025
    Markets
    • AI Research Labs
    • Enterprise Generative AI Teams
    • AI Developer Community

    AI Tools by LLM Stats

    (1)
    View LLM Stats
    LLM Stats tool icon

    LLM Stats

    LLM Benchmark Leaderboards

    LLM EvaluationsPerformance MetricsAcademic Research

    Discussions

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    Latest News

    01/01/2025

    ZeroEval joins Y Combinator S25 batch

    Y Combinator
    01/01/2025

    LLM-Stats reaches 200k monthly organic active users

    LLM-Stats Research
    01/01/2025

    ZeroEval launches Autotune for AI agent optimization

    ZeroEval Documentation/Socials

    Products & Services

    4
    LLM-Stats Leaderboard
    2025

    Comprehensive AI leaderboards and rankings comparing performance, pricing, and context windows of models across coding, math, writing, and vision.

    ZeroEval API
    2025

    A unified API for accessing various frontier LLMs, enabling evaluation and performance tracking.

    Human Preference Data
    2025

    High-quality, organic user-generated evaluation data for training and benchmarking AI models.

    RL Environments
    2025

    Complete workstations with real software for benchmark tasks to evaluate AI agent capabilities.

    Market Position

    Positioned as the leading independent benchmark collection and auto-optimizer for AI agents, competing with platforms like LMSYS Chatbot Arena but focusing on broader modalities and agent optimization.

    Leadership

    Founders

    JC

    Jonathan Chavez

    Co-founder of ZeroEval and LLM Stats. Background in RL & physics research. Won 1st place in the Imperial College London AI Hackathon out of 200 teams worldwide.

    SC

    Sebastian Crossa

    Co-founder of ZeroEval. Previously a founding engineer at Micro (backed by venture capital). Software entrepreneur educated at Tecnológico de Monterrey.

    Executive Team

    JC

    Jonathan Chavez

    Co-Founder

    Research background in RL and Physics; hackathon champion.

    SC

    Sebastian Crossa

    Co-Founder

    Former founding engineer at Micro; experienced software developer.

    Founding Story

    Founded with the goal of providing transparent, independent benchmarking for the rapidly evolving LLM landscape and building self-improving AI agents.

    Business Model

    Revenue
    Not publicly reported; likely pre-seed/seed revenue.

    Revenue Model

    Likely usage-based API fees for LLM access and evaluation infrastructure (SaaS).

    Pricing Tiers

    API Usage
    Variable

    Usage-based pricing for model tokens through ZeroEval's unified API.

    Private

    Target Markets

    Industries & Segments
    • AI Research Labs
    • Enterprise Generative AI Teams
    • AI Developer Community
    Use Cases
    • LLM benchmarking and comparison
    • AI agent quality optimization
    • RL research and testing
    • Enterprise AI model selection
    Notable Customers
    • Fortune 100 companies

    Quick Facts

    Headquarters
    New York, NY, USA
    Founded
    2025
    Entity Type
    Inc.
    Employees
    2
    Total Funding
    $500,000
    Investors
    Y Combinator
    Office Locations
    New York

    Funding History

    Seed$500,000
    2025
    Y Combinator

    History & Milestones

    2025

    ZeroEval was founded by Jonathan Chavez and Sebastian Crossa in New York.

    2025

    Accepted into the Y Combinator Summer 2025 (S25) batch.

    2025

    Launched the LLM-Stats leaderboard and reached 200,000+ monthly active users.

    2025

    Introduced 'Autotune' and auto-optimization tools for AI agents.

    Key Capabilities

    5
    Human-in-the-loop evaluation
    Multi-modal leaderboards
    Auto-optimization for AI agents
    Unified API for frontier models
    Scalable experimentation framework

    Integrations & Partnerships

    Platform Integrations

    • Hugging Face
    • ZeroEval API

    Key Partnerships

    Backed by/Affiliated with Y Combinator, Hugging Face, Harvard Medical, Google, and Datadog.

    Connect

    Website
    llm-stats.com/
    X / Twitter
    LlmStats
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    AI Topics

    3

    LLM Stats focuses on these topics:

    LLM Evaluations(1)
    Performance Metrics(1)
    Academic Research(1)
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