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@ThinkLoom

Thinkloom

Weaving intelligence into the fabric of work.

๐ŸŒŒ ThinkLoom

Weaving AI into Everyday Workflows

ThinkLoom is a product studio exploring the intersection of AI, automation, and user-centric design. Our mission is to make advanced AI systems accessible, modular, and practical โ€” from documents to vision to governance.


๐Ÿš€ What Weโ€™re Building

ThinkLoom projects are designed as modular โ€œโ€ฆLoomโ€ platforms, starting with PoCs and evolving into production-ready systems:

  • ๐Ÿ“‘ DocuLoom โ€“ OCR + structured data extraction. Define schemas, annotate documents, train models, and run inference.

  • ๐Ÿ‘๏ธ VisionLoom โ€“ Computer vision workflow orchestration. From labeling to versioned training, evaluation, and real-time inference.

  • ๐Ÿ” AnnotaLoom โ€“ Unified annotation environment. Supports both document OCR and image datasets, integrated with Label Studio.

  • ๐Ÿ“Š InsightLoom โ€“ Centralized dashboards, monitoring, and reports for AI projects.

  • ๐Ÿ›ก๏ธ GuardLoom โ€“ Guardrails and governance for safe, responsible AI.

  • ๐ŸŒ NeuroLoom โ€“ Long-term vision to converge multimodal AI, orchestration, and creativity into a unified intelligence layer.


๐Ÿงฉ How We Work

  • Spec-First Development โ€“ Inspired by GitHubโ€™s own design system, we use a Spec-Kit approach: every project starts with clear specs before coding.
  • Open + Closed Source Strategy โ€“ Some modules will be open-sourced for community adoption, while others remain proprietary SaaS offerings.
  • GitHub-Inspired Design โ€“ Clean, developer-first UI built on a familiar workflow style.
  • Prediction Workflows โ€“ Each Loom project bakes in model versioning, inference, and retraining from day one.

๐Ÿ“‚ Current Proof-of-Concepts

  1. DocuLoom OCR โ€“ Schema-driven document extraction with model training + inference endpoints.
  2. VisionLoom PoC โ€“ Object detection using YOLOv8, annotation pipeline, and live webcam inference.

๐Ÿ› ๏ธ Tech Stack

  • AI/ML: PyTorch, YOLOv8, OCR engines, LLMs
  • Annotation: Label Studio, CVAT
  • Backends: Python, FastAPI
  • Frontends: React (Primer-inspired UI)
  • Infra: Docker, GitHub Codespaces, extensible workstation setup

๐ŸŒฑ Roadmap

  • Stabilize DocuLoom + VisionLoom PoCs
  • Launch developer-ready Spec-Kit framework
  • Release initial open-source Loom tools
  • Expand into InsightLoom + GuardLoom
  • Grow toward NeuroLoom platform

๐Ÿค Contributing

We welcome discussions, ideas, and contributions from the community. Stay tuned for contribution guidelines and open-source repos soon.


๐Ÿ“ฌ Contact

๐Ÿ’ป GitHub: ThinkLoom ๐ŸŒ Website: coming soon


๐Ÿ”ฎ ThinkLoom โ€” weaving intelligence into the fabric of work.

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