Isaacus
AI 為主為律所、企業、政府和法律技術團隊提供可通過線上平台、API 或私有部署使用的法律 AI 模型，用於法律文件檢索、分類、資訊提取和知識圖譜構建。
isaacus.com 源碼★ 8 Discord RedditAI 模型與智慧體 / 模型 API 與網關
- 每月造訪次數
- <5K
- 2026 年 10 月
- 公開營收
- 未公開
- 暫無公開營收證據
- 入門價
- 按量付費
- 沒有月付訂閱價
- 首次發布
- 21 個月前
- 2025-03-09 · 估算
訪問
行銷動作
發布、搜尋與內容、引薦、促銷- 用交互可视化与猜词游戏理解向量嵌入 — 机器学习工程师用交互可视化讲解向量嵌入，并设计含 43,339 个英语词的地图游戏，帮助理解语义空间。
r/LocalLLaMA · u/Neon0asis · 2026-11-05 · 72 贊 (93%) · 7 評論
在 Show HN 發布（2 分 · 1 評論）發布
What are vector embeddings? An interactive guide — Hey HN, I'm Abdur-Rahman Butler, a machine learning engineer at Isaacus. I made an interactive write-up that walks you through the A to Z…
10 月 14 日 · 33 天前發布頁
當時 每月造訪次數 5.1K訪問：之前 1 個月 -55%，之後 1 個月 -81%同期還有 17 個動作在 Show HN 發布（4 分）發布
I built a Harvey-style tabular review app, then open sourced the code — I spent the past couple of weekends building an open-source alternative to Harvey/Legora's popular tabular review application for lawyers.…
4 月 9 日 · 7 個月前發布頁
在 Show HN 發布（1 分）發布
Isaacus – the legal AI research company — Hey HN, This is Isaacus, a legal AI research company that my brother, Abdur-Rahman Butler, and I, Umar Butler, founded last year and have…
3 月 10 日 · 8 個月前發布頁
在 Show HN 發布（10 分 · 6 評論）發布
Kanon 2 Enricher – the first hierarchical graphitization model — Hey HN, This is Kanon 2 Enricher, the first hierarchical graphitization model. It represents an entirely new class of AI models designed t…
3 月 3 日 · 9 個月前發布頁
在 Show HN 發布（4 分 · 1 評論）發布
Legal RAG Bench — Hey HN, This is Legal RAG Bench, the first benchmark for legal RAG systems to simultaneously evaluate hallucinations, retrieval failures,…
2 月 20 日 · 9 個月前發布頁
第三方評測與案例拆解
客戶來源管道拆解、工程師評測與開源檔案- 創作者原帖摘錄：
- Hey HN, Over the past couple months, we, a team of Aussie legal and AI experts, have been working on building a new type of legal AI company — a company that, instead of trying to automate legal jobs, is trying to automate legal tasks. We want to make lawyers’ lives easier, not replace them. We’ve been laser-focused on building small and efficient yet still
- 創作者原帖摘錄：
- Hey HN, This is Legal RAG Bench, the first benchmark for legal RAG systems to simultaneously evaluate hallucinations, retrieval failures, and reasoning errors. The key takeaways of our benchmark are: 1. Embedding models, not generative models, are the primary driver of RAG accuracy. Switching from a general-purpose embedder like OpenAI's Text Embedding 3 Lar
- 創作者原帖摘錄：
- Hey HN, This is Kanon 2 Enricher, the first hierarchical graphitization model. It represents an entirely new class of AI models designed to transform document corpora into rich, highly structured knowledge graphs. In brief, our model is capable of: - Entity extraction, classification, and linking: identifying key entities like individuals, companies, governm
- 創作者原帖摘錄：
- Hey HN, This is Isaacus, a legal AI research company that my brother, Abdur-Rahman Butler, and I, Umar Butler, founded last year and have been working full time on ever since. We make legal AI models. We recently released two state-of-the-art legal information retrieval models, Kanon 2 Embedder and Kanon 2 Reranker. Together, they rank first on Legal RAG Ben
- 創作者原帖摘錄：
- I spent the past couple of weekends building an open-source alternative to Harvey/Legora's popular tabular review application for lawyers. The project was sparked by a viral LinkedIn post from lawyer Joshua Upin, who described being shown a hallucinated citation by Harvey that was falsely attributed to one of Harvey’s competitors. Seeing such a basic failure
- 創作者原帖摘錄：
- Hey HN, I'm Abdur-Rahman Butler, a machine learning engineer at Isaacus. I made an interactive write-up that walks you through the A to Z of vector embeddings, inspired by Brendan Bycroft's incredible interactive LLM visualisation guide (see here - https://bbycroft.net/llm ). Most of my work is on encoder models, and I kept noticing how few good interactive
開源倉庫與自部署
- GitHub 星標
- ★ 8
- 分支數 (Forks)
- —
- 開源協議
- 見倉庫說明
- 主要語言
- —
流量來源
訪問構成
這個網站的訪問管道與國家構成還沒有資料。
搜尋
站點權重 —網域名稱註冊 未知
這個網站還沒有搜尋關鍵字資料。
流量資料：Vaneform
定價
試用：未提供 · 設企業客製化檔 · 觀察於 2026-11-09 · 原定價頁
頁面與變化
關鍵頁面
每週快照變化
問題與證據
- Isaacus 的價格是多少？
- Pay as you go: 未知; Advanced: 聯繫銷售. 觀察於 2026-11-09。 當前計費條件、用量限制與稅費以來源頁面為准。來源
- Isaacus 的網站造訪次數是多少？
- Vaneform 估算 2026-10 網站造訪次數為 <5K。造訪次數包含重複訪問，付費客戶數與收入需分別查看對應證據。來源
- Isaacus 是什麼產品，支援哪些平台？
- Isaacus 歸屬「模型 API 與網關」市場領域：為律所、企業、政府和法律技術團隊提供可通過線上平台、API 或私有部署使用的法律 AI 模型，用於法律文件檢索、分類、資訊提取和知識圖譜構建。。 支援平台包括：開放 API。
- Isaacus 是開源專案嗎？採用什麼協議？
- Isaacus 擁有公開程式碼倉庫（https://github.com/isaacus-dev/cookbooks），已公開原始碼倉庫，記錄有 8 個 GitHub Stars。來源
同分類研究對象
這些產品屬於同一目錄分類。選型時請進一步核對客戶任務、功能與部署要求。