
Scientific Brain Training — Investor Relations & Filings
Scientific Brain Training, operating as Humans Matter, is a consultancy that specializes in applying cognitive and behavioral sciences to foster individual and organizational transformation. The company designs and develops services, training programs, and digital solutions to help organizations reinvent their business models, culture, and methods of cooperation. Its approach is rooted in scientific research and utilizes data and proprietary AI algorithms to measure the impact of its interventions. For the healthcare sector and individuals, the company provides scientifically validated cognitive stimulation programs and therapies, such as those under its HAPPYneuron brand, which are designed to address cognitive health, age-related brain decline, and neurodegenerative disorders.
Recent filings
| Filing | Released | Lang | Actions |
|---|---|---|---|
| HAPPYneuron annonce un partenariat global avec Merck pour offrir la première Solution e-santé à destination des patients atteints de Sclérose en Plaques | 2016-06-16 | French | |
| Chiffre d'affaires du 1er trimestre 2016 | 2016-04-21 | French | |
| Résultats annuels 2015 | 2016-04-14 | French |
Browse filings by year
6 years| ID | Filing | Released | Lang | Actions | |
|---|---|---|---|---|---|
|
2016
3 filings
| |||||
| 1053859 | HAPPYneuron annonce un partenariat global avec Merck pour offrir la première Solution e-santé à destination des patients atteints de Sclérose en Plaques | 2016-06-16 | French | ||
| 1062517 | Chiffre d'affaires du 1er trimestre 2016 | 2016-04-21 | French | ||
| 1063195 | Résultats annuels 2015 | 2016-04-14 | French | ||
Market data
Market data not available
Price history
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Scientific Brain Training 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/1648/ | Company identity, sector, listing, identifiers |
| GET | /api/filings/?company=1648 | 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=1648 | 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=1648 \ -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": 1648}, 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 Scientific Brain Training (id: 1648)"
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