Predictmedix AI Inc. — Investor Relations & Filings
Predictmedix AI Inc. is a Life Sciences technology company focused on developing disruptive artificial intelligence tools for health screening and impairment testing. The company's primary offering, the SmartHealth AI Stations, provides quick, noninvasive, and no-contact solutions for assessing individual readiness. Utilizing multispectral cameras and sensors, these AI-powered stations are designed to detect indicators of impairment, extreme fatigue, and infectious diseases. The technology is primarily targeted at improving workplace health and safety and enhancing protection in public environments. Predictmedix also develops specialized AI tools for healthcare applications, including the detection of PTSD implemented in hospital units. A key feature of their technology is the commitment to accurate detection while ensuring user privacy. Furthermore, the company is developing an adaptive-AI engine intended to simulate, optimize, and predict outcomes across multi-site clinical trials.
Recent filings
| Filing | Released | Lang | Actions |
|---|---|---|---|
| News release - English.pdf | 2020-04-09 | English | |
| News release - English.pdf | 2020-03-30 | English | |
| Other.pdf | 2020-01-09 | English | |
| Interim MD&A - English.pdf | 2019-12-30 | English | |
| 52-109FV2 - Certification of interim filings - CEO (E).pdf | 2019-12-30 | English | |
| Interim financial statements/report – English.pdf | 2019-12-30 | English |
Browse filings by year
22 years- 2026 13 filings
- 2025 48 filings
- 2024 23 filings
- 2023 60 filings
- 2022 33 filings
- 2021 44 filings
- 2020 52 filings
- 2019 24 filings
- 2018 45 filings
- 2016 3 filings
- 2012 1 filing
- 2010 4 filings
- 2009 6 filings
- 2008 2 filings
- 2007 3 filings
- 2006 8 filings
- 2005 2 filings
- 2004 2 filings
- 2003 7 filings
- 2002 3 filings
- 2000 33 filings
- 1998 2 filings
| ID | Filing | Released | Lang | Actions | |
|---|---|---|---|---|---|
|
2020
3 filings
| |||||
| 47295506 | News release - English.pdf | 2020-04-09 | English | ||
| 47295510 | News release - English.pdf | 2020-03-30 | English | ||
| 14215461 | Other.pdf | 2020-01-09 | English | ||
|
2019
12 filings
| |||||
| 47295514 | Interim MD&A - English.pdf | 2019-12-30 | English | ||
| 47295521 | 52-109FV2 - Certification of interim filings - CEO (E).pdf | 2019-12-30 | English | ||
| 47295525 | Interim financial statements/report – English.pdf | 2019-12-30 | English | ||
| 47295529 | Notice (amended).pdf | 2019-12-17 | English | ||
| 47295532 | Annual MD&A of an operating entity.pdf | 2019-12-12 | English | ||
| 47295548 | 52-109FV1 - Certification of annual filings - CEO (E).pdf | 2019-12-11 | English | ||
| 47295552 | Annual MD&A - English.pdf | 2019-12-11 | English | ||
| 47295557 | AB form 13-501F1 (class 1 and 3B reporting issuers - participation fee).pdf | 2019-12-11 | English | ||
| 47295731 | Notice.pdf | 2019-10-18 | English | ||
| 47295735 | Notice.pdf | 2019-10-18 | English | ||
| 47295739 | Letter from former auditor.pdf | 2019-10-11 | English | ||
| 47295754 | Other.pdf | 2019-10-01 | English | ||
Market data
Market data not available
Price history
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Predictmedix AI 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/43801/ | Company identity, sector, listing, identifiers |
| GET | /api/filings/?company=43801 | 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=43801 | 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=43801 \ -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": 43801}, 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 Predictmedix AI Inc. (id: 43801)"
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