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Overview

What is tracebloc about?​

Tracebloc enables companies to evaluate cutting-edge AI models from external vendors directly on their own infrastructure, without exposing any raw data.

Learn more how tracebloc ensures data privacy here.

What is the goal of this tool?​

The goal is to help data science teams benchmark external vendor´s models on real, proprietary datasets before making a "buy or build" decision.

like accuracy, latency or cost — all grounded in your actual production data.

What are the major platform components?​

  • Model Submission Interface for vendors
  • Secure Execution Layer deployed in the company`s infrastructure
  • Evaluation & Reporting Engine that tracks performance and summarizes key tradeoffs

How to use this documentation​

The documentation serves both use case owners and participants:

  • Use case owners will learn how to set up, configure, and manage use cases.
  • Participants will learn how to connect to these use cases and deploy machine learning workloads on client infrastructure.