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SuperAnnotate Testimonials

  • “Before deploying LLM as a judge in your use case, ensure it's grounded by human feedback. SuperAnnotate has been an invaluable partner in creating the golden datasets needed to benchmark our models and in enabling us to craft high-quality prompts and instructions for our LLM Judges.”

  • "We reviewed several companies and selected SuperAnnotate due to the high quality of their data. They stand out for their data quality, attention to detail, and fantastic communication. They are an invaluable part of our data pipeline. I don’t see them as a vendor, I see them as a partner."

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    4.7 / 5.0
    Customer References8 total
    About

    Aporia is a full-stack and highly customizable ML observability platform that powers data science and ML engineering teams to monitor, debug, explain and improve their machine learning models and data. Aporia is the ML Observability platform, trusted by Fortune 500 enterprises – including Bosch, Munich RE, & Sixt – and industry leaders to visualize, monitor, and ensure ML models are performing at their best, always.

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    Intel Tiber AI Studio is an AI OS, transforming the way enterprises manage, scale and accelerate AI and data science development from research to production. The code-first platform is built by data scientists, for data scientists and offers unrivaled flexibility to run on-premise or cloud. From advanced MLOps to continual learning, cnvrg.io brings top of the line technology to data science teams so they can spend less time on DevOps and focus on the real magic - algorithms. Since using cnvrg.io, teams across industries have gotten more models to production resulting in increased business value.

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    4.7 / 5.0
    Customer References39 total
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    Valohai is the only machine learning platform built for private installations with company’s intellectual property’s safety at the core. Boost your data scientists’ productivity by letting them concentrate on model building while Valohai automates your MLOps. Build an automatic regulatory compliant audit-trail from experiment to inference, with Valohai’s automatic version control.

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