
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 |
|---|---|---|---|
| RESULTATS DE L'OFFRE VOLONTAIRE DE RACHAT SUR LES ACTIONS SCIENTIFIC BRAIN TRAINING - RADIATION DE LA COTATION DES ACTIONS DU MARCHE EURONEXT ACCESS | 2022-10-11 | French | |
| Projet de radiation d'Euronext Access | 2022-09-02 | French | |
| Communiqué de presse | 2022-06-30 | French | |
| Un très bon premier semestre 2021 - Chiffre d'affaires du 1er semestre 2021 en hausse de 22,5% : 8,2 MEUR - Résultat d'exploitation positif : 682,7 KEUR | 2021-11-10 | French | |
| Evolution de l'actionnariat et de la gouvernance | 2021-07-13 | French | |
| 2020, Année de Résistance Chiffre d'affaires : 12 900 K EUR - EBITDA positif | 2021-06-02 | French |
Browse filings by year
6 yearsMarket 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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