ANTIMERIDIAN
TECHNOLOGY LIMITED
We build the Public-Document Automation System and sell it to institutional clients as an API, billed as an annual service fee plus call volume.
我們自研「公開資料自動化處理系統」，以應用程式介面（API）方式銷售予機構客戶，按年度服務費及調用量計費。
Institutions read more public documents than hand-sorting can keep up with.
Research and analysis departments handle a large volume of public documents and data every day — listed-company announcements, periodic reports, industry statistics, public news. The formats are scattered and the volume is large. The work still depends on people reading and sorting by hand: slow, and expensive in headcount.
- Artificial intelligence has matured enough that this sorting and summarising work can be largely automated, and institutional demand for such tools has risen noticeably.
- Comparable products from large international vendors are expensive, English-first and built for European and US markets, weakly localised, and slow to implement.
- Small and mid-sized institutions have limited budgets and are priced out of those vendors. They want the tooling and cannot afford it.
A system that turns scattered public documents into standardised data fields.
We build the Public-Document Automation System and open it to institutional clients as an application programming interface (API), callable directly from the client's own systems.
- Automated collection, cleaning and structuring of public information — exchange announcements, listed-company periodic reports, public industry statistics, public news — into standardised data fields.
- Summarisation across batches of documents.
- The product prototype is built and can be demonstrated directly. We are not researching it from scratch.
- Asset-light: no plant, no inventory, delivered remotely, low cost to start.
Three product lines.
One primary interface service, plus two delivery and maintenance lines built around it.
- The Public-Document Automation System is opened to institutional clients as an application programming interface (API), callable directly from the client's own systems.
- Interface functions: automated collection, cleaning and structuring of public information into standardised data fields; summarisation across batches of documents.
- We turn a client's internal historical documents, meeting records and research archives into a searchable knowledge base — data cleaning, labelling, index building, deployment and staff training.
- We build automation modules around the client's existing workflow and integrate them with the client's existing systems.
- Annual software licence, version updates, defect fixes and online technical support for clients already implemented.
Purchase, process, sell.
Our value chain has three links, with purchases and sales matched one to one. Cost comes mainly from upstream compute and model interfaces; revenue comes from downstream API service and project delivery.
The algorithms produced by our own data-processing workflow, field definitions and structuring methods, and the processed output they generate, are our own intellectual property. The cloud providers acquire no rights by supplying the underlying resources.
- Software systems are deployed remotely to the server or cloud environment the client designates.
- Processed output is delivered over encrypted network transfer to the location the client designates.
- Technical support and staff training are delivered by online meeting.
- Our business involves no physical goods: no warehousing, no logistics, no shipping arrangements.
Who our clients are.
Our clients are the research and operations departments of institutions. The purchasing decision is normally made by the client's information technology department or research department; the engagement is technology outsourcing.
What we do not do.
To avoid any misunderstanding, we set out the boundaries of our business.
機構要讀的公開資料，已經超出人工整理的承受範圍。
機構的研究與分析部門，日常須處理大量公開文檔與數據 —— 上市公司公告、定期報告、行業統計、公開新聞等。這些資料格式零散、數量龐大，長期依賴人工閱讀與手工整理，耗時且人力成本高。
- 近年人工智能技術成熟，使這類整理與歸納工作可以大幅自動化，機構對此類工具的採購需求明顯上升。
- 國際大型廠商的同類產品價格高昂、以英文與歐美市場為主，本地化程度低，實施週期較長。
- 中小型機構預算有限，往往被上述廠商排除在外，長期處於「想用但用不起」的狀態。
把零散的公開資料變成標準化數據字段的軟件系統。
本公司自研「公開資料自動化處理系統」，並以應用程式介面（API）方式向機構客戶開放，供客戶系統直接調用。
- 自動採集、清洗並結構化處理公開資訊 —— 交易所公告、上市公司定期報告、公開行業統計、公開新聞資訊 —— 輸出標準化數據字段。
- 對批量文檔進行歸納與摘要生成。
- 產品原型已完成，可直接向客戶演示，不需要從零研發。
- 輕資產模式：無廠房、無存貨，以遠程方式交付，起步成本低。
三項產品線。
一條主力的接口服務，加上兩條圍繞它的交付與維護業務。
- 自研「公開資料自動化處理系統」以應用程式介面（API）方式向機構客戶開放，供客戶系統直接調用。
- 接口功能：自動採集、清洗並結構化處理公開資訊，輸出標準化數據字段；批量文檔的歸納與摘要生成。
- 為客戶將其內部歷史文檔、會議記錄、研究檔案整理為可檢索的知識庫，包含數據清洗、標註、索引建立、系統部署與人員培訓。
- 按客戶既有作業流程定製開發自動化處理模塊，並與客戶現有系統對接。
- 為已實施客戶提供年度軟件授權、版本更新、缺陷修復與線上技術支持。
採購、加工、銷售。
本公司的價值鏈由三個環節構成，採購與銷售一一對應。成本主要來自上游算力與模型介面採購，收入來自下游 API 服務與項目交付。
以自研的數據處理流程、字段定義與結構化算法所產生的算法及加工成果，均為本公司自有知識產權；雲服務商不因提供底層資源而取得任何權利。
- 軟件系統以遠程方式部署至客戶指定的伺服器或雲端環境。
- 數據處理成果以加密網絡傳輸方式交付至客戶指定接收位置。
- 技術支持與人員培訓以線上會議方式進行。
- 本公司業務不涉及任何實物貨品，無倉儲、無物流、無運輸安排。
我們的客戶是誰。
本公司的客戶為機構的研究與營運部門。採購決策通常由客戶的資訊科技部門或研究部門作出，性質屬於技術服務外包。
業務邊界與合規聲明。
為免誤解，本公司特此明確說明其業務邊界。