Graphite Note 每月有 5,403 次造訪,月增率 -22.2%,定價模式為免費試用、付費、需聯絡報價。Prolific 每月有 18,697,671 次造訪,成長率 -1.8%,定價模式為付費。

Graphite Note is a decision intelligence platform that combines AutoML, causal machine learning and optimisation around specific business decisions. Instead of stopping at dashboards, it recommends the next action — which promotion to repeat, where to place inventory, which customers to target — and estimates the expected business impact.
| 面向/指標 | ![]() | |
|---|---|---|
| 官方網域 | graphite-note.com | prolific.com |
| 定價模式 | 免費試用、付費、需聯絡報價 | 付費 |
| 每月造訪次數 | 5403 (5,403) | 1869.77萬 (18,697,671) |
| 月流量變化量 | -1538 (-22.2%) | -35.2萬 (-1.8%) |
| 主要市場與市佔 | 🇺🇸 美國 (53.3%) | 🇺🇸 美國 (48.8%) |
| 每月直接造訪 | 2134 | 1297.97萬 |
| 使用者評分 | 4.3 | 4.6 |
| 支援平台 | 網站 | 網站 |

Graphite Note is a decision intelligence platform that combines AutoML, causal machine learning and optimisation around specific business decisions. Instead of stopping at dashboards, it recommends the next action — which promotion to repeat, where to place inventory, which customers to target — and estimates the expected business impact.
Automated model building for prediction, causal inference and optimisation, targeted at a specific business decision rather than generic exploratory modelling.
Ready-made packs for retail, eCommerce, CPG, manufacturing, hospitality and telco that pair industry-specific models with the decision logic, rules and constraints.
Answers recurring commercial questions such as promotion incrementality, price elasticity, assortment optimisation, churn uplift, inventory optimisation and production scheduling.
Each recommendation comes with an expected-impact view — for example projected margin, retained revenue or uplift — so teams can rank and justify the next move.
為 AI 訓練、評估與研究提供高品質人類資料
依詳細的人口統計、職業與行為條件篩選參與者,觸達小眾或具代表性的樣本,而非泛泛的人群。
採集用於模型微調的人類偏好資料,執行安全性評估與紅隊測試,並透過回饋 API 把人工環節接入自動化流程。
注意力檢驗、誠實度篩查與審批流程,協助你在分析結果前剔除敷衍或欺詐性回答。
發布研究後能迅速開始收集回答,工具支援篩選條件、配額設定與縱向研究設計。

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專項更強SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.

專項更強提供用於專業研究已驗證的 B2B 專業人士與醫療專家,但缺乏廣泛的一般大眾學術調查小組。

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免費 / 開源Open-source data labeling and evaluation platform for AI workflows, but requires bringing your own annotation workforce.
免費 / 開源Open-source data labeling and evaluation platform for AI workflows, but requires bringing your own annotation workforce.