ThoughtProof Comply
AI compliance evidence, not just checklists
What it does
Most AI compliance tools produce PDFs and promises. ThoughtProof Comply generates actual evidence. Classify your AI system's EU AI Act risk level, get structured transparency documentation, and verify results with 5 independent AI models. Free tier, no login required.
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AI Act Compliance NavigatorJul 2026 · github.com · ▲3Explainable AI compliance, grounded in evidence and action
- ATAI Tool to Simplify EU Regulatory Compliance (Solo Founder Journey)2024 · ▲11
Hi HN, I’m a solo founder, and I’ve been working on an AI tool that helps companies and organizations navigate and comply with EU regulations. The platform leverages AI to provide insights, research capabilities, and compliance assistance, aiming to reduce the complexity and time spent dealing with regulatory requirements. Compliance with EU regulations (like GDPR, labor laws, and industry-specific rules) can be overwhelming, especially for SMEs and startups. As someone passionate about tech and legal simplification, I saw an opportunity to create a tool that streamlines this process,…
END-TO-END EU AI ACT COMPLIANCE PLATFORM4d ago · share.streamlit.io · ▲2Classify. Assess. Document. Full compliance with EU AI Act
- CLCompliant-LLM: Audit AI Agents for Compliance with NIST AI RMF2025 · github.com · ▲11
We're excited to launch compliant-llm: an open-source toolkit that helps infosec and compliance teams audit AI agents against regulatory frameworks like NIST AI RMF, ISO 42001, and OWASP Top 10. Infosec and compliance teams are now responsible for tracking security and compliance risks of a growing number of AI agents across external and internal apps and third-party vendors. compliant-llm gives you a way to: - Define and run comprehensive red-teaming tests for AI agents - Maps test outcomes to compliance frameworks like NIST AI RMF - Generate detailed audit logs and documentation -…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
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AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
