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tracebloc is a collaborative AI workspace that allows users to train, benchmark, and improve models with peers and researchers. It enables secure AI collaboration directly within existing infrastructure without moving data.
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About
tracebloc provides a collaborative AI workspace designed for training, benchmarking, and improving AI models with peers and researchers. It allows users to deploy a workspace on their existing infrastructure, ensuring data sovereignty and protecting intellectual property. Key features include the ability to evaluate vendor models on proprietary data, facilitate team collaboration on sensitive datasets without data movement, and ensure regulatory compliance with auditable containers and full decision trails. The platform supports fine-tuning large language models (SLMs) on proprietary data locally and enables reproducible benchmarking by isolating containers and pinning dependencies. tracebloc also facilitates federated training across multiple sites, allowing models to learn from diverse datasets without centralizing data, and supports monetizing data by letting others submit models to your workspace for local compute.
Capabilities
Pricing & Plans
Freemium · Paid · Custom · Usage-based
Not publicly disclosed. Check tracebloc.io for current pricing.
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