
ENLITIC INC. — Investor Relations & Filings
Enlitic Inc. develops artificial intelligence solutions designed to streamline medical imaging workflows and enhance data management. The company's primary platform, Curie, employs deep learning to standardize and clinicalize medical imaging data, specifically focusing on the normalization of DICOM metadata. This technology enables healthcare organizations to transform unstructured data into structured, actionable intelligence, improving the efficiency of radiological interpretations and clinical decision-making. By integrating directly into existing clinical environments, the platform facilitates automated data curation and provides tools for diagnostic support. The company's focus remains on optimizing the utility of medical imaging assets through advanced data engineering and machine learning applications.
Recent filings
| Filing | Released | Lang | Actions |
|---|---|---|---|
| Audited accounts for the full year ended 31 December 2022 27 pages 513.2KB | 2023-12-17 | English | |
| Reviewed accounts for the half-year ended 30 June 2023 16 pages 422.7KB | 2023-12-17 | English | |
| Annexure 3 to Appendix 1A 2 pages 159.5KB | 2023-12-17 | English | |
| 2023 Employee Incentive Plan 26 pages 372.3KB | 2023-12-17 | English | |
| Top 20 Holders List 1 page 88.8KB | 2023-12-17 | English | |
| Distribution Schedule 1 page 44.8KB | 2023-12-17 | English |
Browse filings by year
3 years| ID | Filing | Released | Lang | Actions | |
|---|---|---|---|---|---|
|
2023
11 filings
| |||||
| 39903977 | Audited accounts for the full year ended 31 December 2022 27 pages 513.2KB | 2023-12-17 | English | ||
| 39903960 | Reviewed accounts for the half-year ended 30 June 2023 16 pages 422.7KB | 2023-12-17 | English | ||
| 39903949 | Annexure 3 to Appendix 1A 2 pages 159.5KB | 2023-12-17 | English | ||
| 39903939 | 2023 Employee Incentive Plan 26 pages 372.3KB | 2023-12-17 | English | ||
| 39903932 | Top 20 Holders List 1 page 88.8KB | 2023-12-17 | English | ||
| 39903927 | Distribution Schedule 1 page 44.8KB | 2023-12-17 | English | ||
| 39903924 | Pre-Quotation Disclosure 11 pages 242.5KB | 2023-12-17 | English | ||
| 39903915 | Corporate Governance Statement 19 pages 427.0KB | 2023-12-17 | English | ||
| 39903901 | Link Statement 1 page 213.7KB | 2023-12-17 | English | ||
| 39903893 | Replacement Prospectus 194 pages 23.5MB | 2023-12-17 | English | ||
| 39903826 | Securities Trading Policy 8 pages 188.6KB | 2023-12-17 | English | ||
Market data
Market data not available
Price history
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ENLITIC INC. 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/64853/ | Company identity, sector, listing, identifiers |
| GET | /api/filings/?company=64853 | 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=64853 | 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=64853 \ -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": 64853}, 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 ENLITIC INC. (id: 64853)"
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