Antimeridian
Hong Kong · Software development and data processing services
香港 · 軟件開發及數據處理服務

ANTIMERIDIAN
TECHNOLOGY LIMITED

對向子午科技有限公司

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.

What we are not
We are not a financial services firm — we do not receive client funds, we do not trade on behalf of clients, and we do not give investment opinions.

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。

我們不是什麼
我們不是金融服務機構 —— 不接收客戶資金、不代客戶買賣、不提供投資意見。
Input · public documentsOutput · standardised fieldsExchange announcementsPeriodic reportsIndustry statisticsPublic newsIssuerPeriodMetricsEventsSummaryProcessingPublic-DocumentAutomation SystemCollect · clean · structureThe system reads public documents whoseformats are scattered, and returns standardisedfields a machine can call directly.Input · public documentsExchange announcementsPeriodic reportsIndustry statisticsPublic newsProcessingPublic-DocumentAutomation SystemCollect · clean · structureOutput · standardised fieldsIssuerPeriodMetricsEventsSummaryThe system reads public documents whoseformats are scattered, and returns standardisedfields a machine can call directly.
輸入 · 公開文檔輸出 · 標準化字段交易所公告定期報告行業統計公開新聞發行人期間指標事件摘要處理公開資料自動化處理系統採集 · 清洗 · 結構化系統讀入格式零散的公開文檔,輸出機器可直接調用的標準化字段。輸入 · 公開文檔交易所公告定期報告行業統計公開新聞處理公開資料自動化處理系統採集 · 清洗 · 結構化輸出 · 標準化字段發行人期間指標事件摘要系統讀入格式零散的公開文檔,輸出機器可直接調用的標準化字段。
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01 Problem

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.

One kind of information, six formatsPDF filingHTML page<tag><tag><tag><tag>XBRL reportCSV statisticsScanned imageNews releaseRead and sorted by handScattered formats, large volume.Hand-sorting is slow, and expensivein headcount.One kind of information, six formatsPDF filingHTML page<tag><tag><tag><tag>XBRL reportCSV statisticsScanned imageNews releaseRead and sorted by handScattered formats, large volume.Hand-sorting is slow, and expensivein headcount.
01Artificial intelligence has matured enough that this sorting and summarising work can be largely automated, and institutional demand for such tools has risen noticeably.
02Comparable products from large international vendors are expensive, English-first and built for European and US markets, weakly localised, and slow to implement.
03Small and mid-sized institutions have limited budgets and are priced out of those vendors. They want the tooling and cannot afford it.
The gap
That segment is our target market: fast delivery, affordable pricing, built around the client's own workflow.
02 System

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.

Processing pipeline01CollectExchange announcements,periodic reports, industrystatistics, public news.02CleanDe-duplicate and de-noise;recover page layout andtable structure.03StructureExtract against fielddefinitions; summariseacross batches ofdocuments.04OutputStandardised data fieldsand summaries, called bythe client's own systems.Four stages, all executed automatically.People look at the result instead of movingthe material.Processing pipeline01CollectExchange announcements,periodic reports, industrystatistics, public news.02CleanDe-duplicate and de-noise;recover page layout andtable structure.03StructureExtract against fielddefinitions; summariseacross batches ofdocuments.04OutputStandardised data fieldsand summaries, called bythe client's own systems.Four stages, all executed automatically.People look at the result instead of movingthe material.
01Automated collection, cleaning and structuring of public information — exchange announcements, listed-company periodic reports, public industry statistics, public news — into standardised data fields.
02Summarisation across batches of documents.
03The product prototype is built and can be demonstrated directly. We are not researching it from scratch.
04Asset-light: no plant, no inventory, delivered remotely, low cost to start.
One page of a public documentStandardised data fields1234FieldValue1Issuer<value>2Period<value>3Metrics table<value>4Event paragraph<value>Positions on the page are identified first,then dropped into a structured table againstfield definitions set in advance.One page of a public document1234Standardised data fieldsFieldValue1Issuer<value>2Period<value>3Metrics table<value>4Event paragraph<value>Positions on the page are identified first,then dropped into a structured table againstfield definitions set in advance.
Boundary
What we sell is software tooling and data processing services. Clients use them to make their own research and information handling more efficient; every business judgement and decision is the client's own and has nothing to do with us.
03 Interface

Send in a public document, get back a set of standardised fields.

The system is exposed as an application programming interface (API) and called directly by the client's own systems, with no one in the middle moving files by hand. Below is the shape of a single call.

Request Illustrative
POST /v1/documents:extract
Content-Type: application/json

{
  "source": "exchange_filing",
  "document": { "uri": "<upload id or url>" },
  "fields": [
    "issuer", "period", "metrics", "events"
  ],
  "summary": true,
  "output_language": "zh-Hant"
}
Response Illustrative
200 OK

{
  "document_id": "<id>",
  "source": "exchange_filing",
  "fields": {
    "issuer": { "value": "<text>", "page": "<int>" },
    "period": { "value": "<date>", "page": "<int>" },
    "metrics": [
      {
        "name": "<text>", "value": "<number>",
        "unit": "<text>", "page": "<int>"
      }
    ],
    "events": [
      {
        "type": "<text>", "date": "<date>",
        "page": "<int>"
      }
    ]
  },
  "summary": {
    "text": "<text>", "language": "zh-Hant"
  },
  "usage": { "pages": "<int>", "calls": 1 }
}

The request and response below illustrate the data structure only. They are not an interface specification.

Scope
What the interface returns is fields and summaries extracted from public documents. Clients use the output themselves; every business judgement and decision is the client's own.
04 Products

Three product lines.

One primary interface service, plus two delivery and maintenance lines built around it.

Product one Primary

Data-processing API access

  • 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.
Billing: annual base service fee including a call quota; calls above quota priced on a tiered per-call basis.
Product two

Custom development and institutional knowledge bases

  • 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.
Billing: one-off, priced per project.
Product three

Annual software licence and technical support

  • Annual software licence, version updates, defect fixes and online technical support for clients already implemented.
Billing: annual licence fee.
05 Chain

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.

UPSTREAM · PURCHASEIN-HOUSE · PROCESSINGDOWNSTREAM · SALE01Compute and model interfacesCompute and general-purpose AI modelinterfaces purchased from cloud providers(Alibaba Cloud, Volcano Engine) as theunderlying input.We do not train foundation modelsand we do not build data centres.UPSTREAM · PURCHASE01Compute and model interfacesCompute and general-purpose AI modelinterfaces purchased from cloud providers(Alibaba Cloud, Volcano Engine) as theunderlying input.We do not train foundation modelsand we do not build data centres.
UPSTREAM · PURCHASEIN-HOUSE · PROCESSINGDOWNSTREAM · SALE02Our own processing layerOur own data-processing workflow, fielddefinitions and structuring algorithmsturn general model capability and publicdocuments into standardised industrydata products.These algorithms and the processedoutput are our own intellectualproperty. The cloud providers acquireno rights by supplying the underlyingresources.IN-HOUSE · PROCESSING02Our own processing layerOur own data-processing workflow, fielddefinitions and structuring algorithmsturn general model capability and publicdocuments into standardised industrydata products.These algorithms and the processedoutput are our own intellectualproperty. The cloud providers acquireno rights by supplying the underlyingresources.
UPSTREAM · PURCHASEIN-HOUSE · PROCESSINGDOWNSTREAM · SALE03Sold as an APIThe processing capability is sold toinstitutional clients as an applicationprogramming interface (API), billed as anannual service fee plus call volume; ordelivered as a custom system on aproject basis.DOWNSTREAM · SALE03Sold as an APIThe processing capability is sold toinstitutional clients as an applicationprogramming interface (API), billed as anannual service fee plus call volume; ordelivered as a custom system on aproject basis.
Ownership of intellectual property

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.

06 Clients

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.

Client segmentsHong Kong · SingaporeSmall and mid-sized asset management firmsInvestment consultanciesFamily officesResearch and operations departmentsMainland ChinaSecurities research institutionsCorporate strategy research departmentsIndustry consultanciesResearch and information handlingdepartmentsWho signs the purchaseThe client's information technologydepartment or research department. Theengagement is technology outsourcing.Client segmentsHong Kong · SingaporeSmall and mid-sized asset management firmsInvestment consultanciesFamily officesResearch and operations departmentsMainland ChinaSecurities research institutionsCorporate strategy research departmentsIndustry consultanciesResearch and information handlingdepartmentsWho signs the purchaseThe client's information technologydepartment or research department. Theengagement is technology outsourcing.
Starting out
We start with two or three pilot clients to sharpen the product and the delivery process, then replicate the standardised result across comparable clients.
07 Delivery

Delivery happens entirely over the network.

Our business involves no physical goods, and there is no warehousing, logistics or shipping. The system, the processed output and the support are all delivered remotely.

Delivery pathOur systemThe server or cloudenvironment the clientdesignatesRemote deploymentEncrypted transfer of processed outputOnline technical support and trainingNot involvedPhysical goodsWarehousingLogisticsShippingEverything moves over the network.There is nothing physical to ship,store or transport.Delivery pathOur systemRemote deploymentEncrypted transfer of processed outputOnline technical support and trainingThe server or cloudenvironment the clientdesignatesNot involvedPhysical goodsWarehousingLogisticsShippingEverything moves over the network.There is nothing physical to ship,store or transport.
How delivery works
01Software systems are deployed remotely to the server or cloud environment the client designates.
02Processed output is delivered over encrypted network transfer to the location the client designates.
03Technical support and staff training are delivered by online meeting.
04Our business involves no physical goods: no warehousing, no logistics, no shipping arrangements.
08 Boundaries

What we do not do.

To avoid any misunderstanding, we set out the boundaries of our business.

Inside the line · what we doOutside the line · what we do not doSoftware developmentData processing servicesAnnual licence and supportClient funds and securities assetsTrading on behalf of clientsInvestment opinions and recommendationsManagement fees and performance feesRegulated activity under the SFO (Cap. 571)All of our income is software development feesand technical service fees.Inside the line · what we doSoftware developmentData processing servicesAnnual licence and supportOutside the line · what we do not doClient funds and securities assetsTrading on behalf of clientsInvestment opinions and recommendationsManagement fees and performance feesRegulated activity under the SFO (Cap. 571)All of our income is software development feesand technical service fees.
01We do not receive, hold or take custody of any client funds or securities assets.
02We do not execute transactions in securities, futures, foreign exchange or other financial products on behalf of clients.
03We do not give buy or sell recommendations on any particular security or investment product, and we do not publish investment opinions or recommendations.
04We do not charge management fees, performance fees or any remuneration linked to investment returns. All of our income is software development fees and technical service fees.
05We do not carry on any regulated activity under the Securities and Futures Ordinance (Cap. 571) of Hong Kong.
01 痛點

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。

同一類信息,六種格式PDF 公告HTML 網頁<tag><tag><tag><tag>XBRL 報表CSV 統計掃描件新聞稿人工閱讀與手工整理格式零散、數量龐大。人手整理耗時,且人力成本高。同一類信息,六種格式PDF 公告HTML 網頁<tag><tag><tag><tag>XBRL 報表CSV 統計掃描件新聞稿人工閱讀與手工整理格式零散、數量龐大。人手整理耗時,且人力成本高。
01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。
02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。
03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。
空缺
這一段客戶群體正是本公司的目標市場:交付快、價格可負擔、按客戶流程定製。
02 系統

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。

處理管線01採集交易所公告、定期報告、行業統計、公開新聞。02清洗去重、去噪,還原版面與表格結構。03結構化按字段定義抽取;批量文檔歸納與摘要生成。04輸出標準化數據字段與摘要,供客戶系統調用。四段處理全部自動執行,人只看結果,不再做搬運。處理管線01採集交易所公告、定期報告、行業統計、公開新聞。02清洗去重、去噪,還原版面與表格結構。03結構化按字段定義抽取;批量文檔歸納與摘要生成。04輸出標準化數據字段與摘要,供客戶系統調用。四段處理全部自動執行,人只看結果,不再做搬運。
01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。
02對批量文檔進行歸納與摘要生成。
03產品原型已完成,可直接向客戶演示,不需要從零研發。
04輕資產模式:無廠房、無存貨,以遠程方式交付,起步成本低。
一頁公開文檔標準化數據字段1234字段1發行人<value>2期間<value>3指標表<value>4事件段落<value>文檔上的位置先被識別出來,再按預先定義好的字段落進結構化表。一頁公開文檔1234標準化數據字段字段1發行人<value>2期間<value>3指標表<value>4事件段落<value>文檔上的位置先被識別出來,再按預先定義好的字段落進結構化表。
邊界
本公司銷售的是軟件工具與數據處理服務。客戶購買後自行使用,用以提升其內部研究與資訊處理效率;客戶的一切業務判斷與決策均由客戶自行作出,與本公司無關。
03 接口

送進一份公開文檔,取回一組標準化字段。

系統以應用程式介面(API)方式開放,由客戶的系統直接調用,不需要人再進來做一次搬運。下面是一次調用的結構示意。

請求 示意
POST /v1/documents:extract
Content-Type: application/json

{
  "source": "exchange_filing",
  "document": { "uri": "<upload id or url>" },
  "fields": [
    "issuer", "period", "metrics", "events"
  ],
  "summary": true,
  "output_language": "zh-Hant"
}
返回 示意
200 OK

{
  "document_id": "<id>",
  "source": "exchange_filing",
  "fields": {
    "issuer": { "value": "<text>", "page": "<int>" },
    "period": { "value": "<date>", "page": "<int>" },
    "metrics": [
      {
        "name": "<text>", "value": "<number>",
        "unit": "<text>", "page": "<int>"
      }
    ],
    "events": [
      {
        "type": "<text>", "date": "<date>",
        "page": "<int>"
      }
    ]
  },
  "summary": {
    "text": "<text>", "language": "zh-Hant"
  },
  "usage": { "pages": "<int>", "calls": 1 }
}

以下請求與返回僅用於說明數據結構,不構成正式接口規格。

口徑
接口輸出的是從公開文檔中抽取的字段與摘要。客戶購買後自行使用;一切業務判斷與決策由客戶自行作出。
04 產品

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。

產品一 主力產品

數據處理 API 服務接入

  • 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。
計費:年度基礎服務費(含調用配額),超出配額部分按調用量階梯計價。
產品二

定製化開發與機構知識庫建設

  • 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。
計費:按項目一次性計價。
產品三

年度軟件授權與技術支持

  • 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。
計費:年度授權費。
05 價值鏈

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。

上游 · 採購本公司 · 加工下游 · 銷售01雲算力與模型介面向雲服務商(阿里雲、火山雲/火山引擎)採購算力與通用人工智能模型接口,作為底層投入。本公司不訓練基礎模型,亦不自建數據中心。上游 · 採購01雲算力與模型介面向雲服務商(阿里雲、火山雲/火山引擎)採購算力與通用人工智能模型接口,作為底層投入。本公司不訓練基礎模型,亦不自建數據中心。
上游 · 採購本公司 · 加工下游 · 銷售02自研數據處理流程以自研的數據處理流程、字段定義與結構化算法,將通用模型能力與公開資料加工為標準化的行業數據產品。上述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。本公司 · 加工02自研數據處理流程以自研的數據處理流程、字段定義與結構化算法,將通用模型能力與公開資料加工為標準化的行業數據產品。上述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。
上游 · 採購本公司 · 加工下游 · 銷售03以 API 方式銷售以應用程式介面(API)方式,將加工後的處理能力銷售予機構客戶,按年度服務費及調用量計費;或以項目方式交付定製化系統。下游 · 銷售03以 API 方式銷售以應用程式介面(API)方式,將加工後的處理能力銷售予機構客戶,按年度服務費及調用量計費;或以項目方式交付定製化系統。
知識產權歸屬

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。

06 客戶

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。

客戶分層中國香港 · 新加坡中小型資產管理公司投資諮詢公司家族辦公室研究與營運部門中國內地證券研究機構企業戰略研究部門行業諮詢公司研究與資訊處理部門採購決策方客戶的資訊科技部門或研究部門。性質屬於技術服務外包。客戶分層中國香港 · 新加坡中小型資產管理公司投資諮詢公司家族辦公室研究與營運部門中國內地證券研究機構企業戰略研究部門行業諮詢公司研究與資訊處理部門採購決策方客戶的資訊科技部門或研究部門。性質屬於技術服務外包。
起步
起步階段先以 2 至 3 家試點客戶打磨產品與交付流程,形成可複製的標準方案後,再向同類客戶複製推廣。
07 交付

交付全程在網絡上完成。

本公司業務不涉及任何實物貨品,沒有倉儲、物流與運輸安排。系統、處理成果與技術支持,全部以遠程方式交付。

交付路徑本公司系統客戶指定的伺服器或雲端環境遠程部署處理成果加密網絡傳輸線上技術支持與人員培訓不涉及實物貨品倉儲物流運輸安排全程在網絡上完成。沒有任何實物需要運送、倉儲或搬運。交付路徑本公司系統遠程部署處理成果加密網絡傳輸線上技術支持與人員培訓客戶指定的伺服器或雲端環境不涉及實物貨品倉儲物流運輸安排全程在網絡上完成。沒有任何實物需要運送、倉儲或搬運。
交付方式
01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。
02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。
03技術支持與人員培訓以線上會議方式進行。
04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。
08 業務邊界

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。

邊界之內 · 本公司做的邊界之外 · 本公司不做的軟件開發數據處理服務年度授權與技術支持客戶資金與證券資產代客買賣投資意見與推薦管理費與業績報酬《證券及期貨條例》受規管活動全部收入來自軟件開發費與技術服務費。邊界之內 · 本公司做的軟件開發數據處理服務年度授權與技術支持邊界之外 · 本公司不做的客戶資金與證券資產代客買賣投資意見與推薦管理費與業績報酬《證券及期貨條例》受規管活動全部收入來自軟件開發費與技術服務費。
01本公司不接收、不保管、不代管客戶的任何資金或證券資產。
02本公司不代客戶執行任何證券、期貨、外匯或其他金融產品的買賣。
03本公司不就任何特定證券或投資產品提供買賣建議,不發佈投資意見或推薦。
04本公司不收取管理費、業績報酬或任何與投資回報掛鉤的報酬;全部收入來自軟件開發費與技術服務費。
05本公司不從事香港《證券及期貨條例》(第 571 章)項下的任何受規管活動。