DEEPNOID Inc. — Investor Relations & Filings
DEEPNOID Inc. is an artificial intelligence company specializing in deep learning-based image analysis solutions. The company's core focus is on the medical field, where it provides AI-powered clinical diagnosis support systems. A key offering is its doctor-driven medical AI platform, an open environment designed to support efficient, doctor-led research and development of medical imaging AI models. In addition to its healthcare solutions, DEEPNOID provides comprehensive AI development consulting and one-stop management services, covering analysis, development, and operations for applications across various sectors.
Recent filings
| Filing | Released | Lang | Actions |
|---|---|---|---|
| 매출액또는손익구조30%(대규모법인은15%)이상변동 | 2026-01-23 | Korean | |
| 임원ㆍ주요주주특정증권등소유상황보고서 | 2025-12-22 | Korean | |
| 임원ㆍ주요주주특정증권등소유상황보고서 | 2025-12-22 | Korean | |
| 주식등의대량보유상황보고서(일반) | 2025-12-22 | Korean | |
| 증권발행결과(자율공시) | 2025-12-16 | Korean | |
| 증권발행실적보고서 | 2025-12-16 | Korean |
| ID | Filing | Released | Lang | Actions | |
|---|---|---|---|---|---|
|
2026
1 filing
| |||||
| 13261597 | 매출액또는손익구조30%(대규모법인은15%)이상변동 | 2026-01-23 | Korean | ||
|
2025
14 filings
| |||||
| 12202101 | 임원ㆍ주요주주특정증권등소유상황보고서 | 2025-12-22 | Korean | ||
| 12202086 | 임원ㆍ주요주주특정증권등소유상황보고서 | 2025-12-22 | Korean | ||
| 12202080 | 주식등의대량보유상황보고서(일반) | 2025-12-22 | Korean | ||
| 10216325 | 증권발행결과(자율공시) | 2025-12-16 | Korean | ||
| 10216245 | 증권발행실적보고서 | 2025-12-16 | Korean | ||
| 33028674 | 주식등의대량보유상황보고서(일반) | 2025-10-30 | Korean | ||
| 33027621 | 유상증자1차발행가액결정 | 2025-10-28 | Korean | ||
| 33027618 | [기재정정]주요사항보고서(유상증자결정) | 2025-10-28 | Korean | ||
| 33027486 | 투자설명서 | 2025-10-28 | Korean | ||
| 33027462 | [발행조건확정]증권신고서(지분증권) | 2025-10-28 | Korean | ||
| 33027422 | 권리락 (유상증자) | 2025-10-28 | Korean | ||
| 33027193 | 기업설명회(IR)개최 | 2025-10-27 | Korean | ||
| 33027155 | [기재정정]증권신고서(지분증권) | 2025-10-27 | Korean | ||
| 33024761 | [기재정정]증권신고서(지분증권) | 2025-10-17 | Korean | ||
Market data
Market data not available
Price history
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DEEPNOID 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/16506/ | Company identity, sector, listing, identifiers |
| GET | /api/filings/?company=16506 | 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=16506 | 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=16506 \ -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": 16506}, 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 DEEPNOID Inc. (id: 16506)"
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