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LLM Labs

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Reduce AI Hallucinations - RAG Expert

LLM Labs provides purpose build RAG and Agentic RAG pipelines for enterprises handling terabyte-scale data. We work with top research institutes and global companies around the world to advance LLM use cases and implementations.

  • Min project size
    $5,000+
  • Hourly rate
    $100 - $149 / hr
  • Employees
    2 - 9
  • Year founded
    Founded 2024

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    Our Story

    We are LLM Labs — a focused RAG team founded in 2021 by ex-Google Brain/OpenAI and Fortune 500 AI veterans. Over four years we grew to 28 people, delivering 50+ enterprise search and custom LLM deployments for 12 Fortune 500 clients, processing 100TB+ and creating $500M+ in client value. We combine research (Stanford partnerships, peer-reviewed papers, open-source frameworks) with pragmatic engineering, explainability, security, and change-management to embed reliable, ROI-driven RAG systems.

    What Sets Us Apart

    A team of Go-getters

    We are team of go-getters - that solve complex problems for a living.

    Tools and Technology

    Microsoft Teams
    Jira
    Trello
    ClickUp
    Google Drive
    GitHub
    Azure DevOps
    AWS
    Datadog
    Power BI

    Commonly Asked Questions

    Typically, we take the most amount of time in planning - understanding the internal document types, the client requirement and building a custom architecture. Roughly 2-3 weeks of back and forth meetings with the client. Implementation takes about 1 week. So total time for a low-mid data volume client its 4-6 weeks.

    Success rate is compounded over time as we train and help the company adopt the RAG Architecture. 95% success rate with direct 35% increase in ROI through time saved.

    We are currently working with 5 clients

    1. Discovery Call 2. RAG vs. Prompt Engineering Fit Check 3. NDAs/Contracts 4. Project Manager Reports and aligns timelines 5. Project Commencement 6. Project Weekly Sprints 7. Quality Check 8. Delivery

    We help enterprises simplify search through their legacy documents - from manufacturing to space technology. Every detail is logged internally and on-premise to secure IP of the organization. Hence, we take on large enterprise clients interested in mass implementation of LLMs

    Contact LLM Labs

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