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DRT Loom

Synthetic industrial data for cross-domain AI agents

GitHub
Tech
Data & Analytics
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Hunted byVlad LarichevVlad Larichev

DRT Loom is an open-source framework that generates reproducible synthetic industrial enterprises from one seed. Select domains such as ERP, PLM, MES, CAD, and documents, then create thousands of connected records, a knowledge graph, benchmark questions, and verified gold answers. Unlike isolated datasets, every artifact comes from one coherent enterprise model, so teams can build and evaluate cross-domain agents without exposing customer data or IP.

Top comment

Hi Product Hunt community! I built DRT Loom around a challenge I repeatedly encountered in Industrial AI: agents are expected to reason across ERP, PLM, MES, CAD, and documents, but realistic connected data is usually proprietary and cannot be shared. Most synthetic datasets represent only one system. DRT Loom instead generates a coherent synthetic industrial enterprise from one deterministic seed. The records, documents, relationships, knowledge graph, benchmark questions, and verified gold answers all originate from the same enterprise model. This gives teams a reproducible environment for building and evaluating cross-domain agents without exposing customer data or intellectual property. The framework is open source and extensible, so contributors can add new domains, schemas, and reasoning scenarios. I would be very interested to hear what domains or industrial use cases you would add next.

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About DRT Loom on Product Hunt

Synthetic industrial data for cross-domain AI agents

DRT Loom was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #158 on the daily leaderboard. DRT Loom is an open-source framework that generates reproducible synthetic industrial enterprises from one seed. Select domains such as ERP, PLM, MES, CAD, and documents, then create thousands of connected records, a knowledge graph, benchmark questions, and verified gold answers. Unlike isolated datasets, every artifact comes from one coherent enterprise model, so teams can build and evaluate cross-domain agents without exposing customer data or IP.

DRT Loom was featured in GitHub (41.4k followers), Tech (629.7k followers) and Data & Analytics (5.8k followers) on Product Hunt. Together, these topics include over 197.1k products, making this a competitive space to launch in.

Who hunted DRT Loom?

DRT Loom was hunted by Vlad Larichev. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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