APPEN LIMITED — Investor Relations & Filings
Appen Limited provides high-quality data for the development of artificial intelligence and machine learning models. The company specializes in data collection and annotation services across various modalities, including text, image, audio, and video. Utilizing a global crowd of over one million contributors and a proprietary data annotation platform, the company supports the entire AI lifecycle from data sourcing to model evaluation. Key offerings include Reinforcement Learning from Human Feedback (RLHF) and specialized datasets for generative AI applications. The company serves major technology firms and enterprises across diverse sectors, enabling them to deploy accurate and unbiased AI systems at scale. Its expertise spans more than 235 languages and dialects, ensuring global reach and linguistic precision for complex AI projects.
Recent filings
| Filing | Released | Lang | Actions |
|---|---|---|---|
| Addendum to 2026 Notice of Annual General Meeting 9 pages 338.2KB | 2026-05-05 | English | |
| Q1 FY26 Quarterly Activity Report and Appendix 4C 13 pages 441.3KB | 2026-04-29 | English | |
| Notice of Annual General Meeting & Voting/Proxy Form 29 pages 635.3KB | 2026-04-16 | English | |
| Notification of cessation of securities - APX 4 pages 14.6KB | 2026-04-13 | English | |
| Notification regarding unquoted securities - APX 6 pages 19.5KB | 2026-04-13 | English | |
| Date of AGM and closing date for director nominations 1 | 2026-03-19 | English |
Market data
Market data not available
Price history
Peer group · Computing infrastructure, data processing, hosting and related activities
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APPEN LIMITED via the API
Pull this company's filings, identifiers, and metadata as JSON or Markdown. Authenticate with your API key, then query by company ID, ISIN, or LEI. Full schema documented in the OpenAPI spec.
Endpoints
| GET | /api/companies/64403/ | Company identity, sector, listing, identifiers |
| GET | /api/filings/?company=64403 | Paginated list of all filings (filterable by type, date, language) |
| GET | /api/filings/{id}/ | Single filing — metadata, document URL, processing status |
| GET | /api/filings/{id}/markdown/ | Filing content as Markdown (PDF → text/tables/figures) |
| GET | /api/isins/?company=64403 | All ISINs registered to this company |
| GET | /api/filing-types/ | Reference: every filing-type code + category |
cURL
$ curl https://api.financialreports.eu/api/filings/?company=64403 \ -H "x-api-key: $FR_API_KEY" \ -H "Accept: application/json"
Python
import requests r = requests.get( "https://api.financialreports.eu/api/filings/", params={"company": 64403}, headers={"x-api-key": API_KEY}, ) filings = r.json()["results"]
MCP server
// MCP server URL https://mcp.financialfilings.com/mcp // Once connected, the LLM can query this company directly: "Pull the latest 5 filings for APPEN LIMITED (id: 64403)"
Report missing filing
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