OPEN MACHINE LEARNING MTÜ
Date of report 03.05.2025
Open the reports you want to print
Employees and salaries
OPEN MACHINE LEARNING MTÜ
Employee taxes and performance analysis?
| Quarter | Labor taxes paid | Number of employees | Turnover Per Employee | Profit per employee |
|---|---|---|---|---|
| 2025 I | ...... | ...... | ...... | ...... |
| 2024 IV | ...... | ...... | ...... | ...... |
| 2024 III | ...... | ...... | ...... | ...... |
| 2024 II | ...... | ...... | ...... | ...... |
| 2024 I | ...... | ...... | ...... | ...... |
| 2023 IV | ...... | ...... | ...... | ...... |
| 2023 III | ...... | ...... | ...... | ...... |
| 2023 II | ...... | ...... | ...... | ...... |
| 2023 I | ...... | ...... | ...... | ...... |
| 2022 IV | ...... | ...... | ...... | ...... |
| 2022 III | ...... | ...... | ...... | ...... |
| 2022 II | ...... | ...... | ...... | ...... |
| 2022 I | ...... | ...... | ...... | ...... |
| 2021 IV | ...... | ...... | ...... | ...... |
| 2021 III | ...... | ...... | ...... | ...... |
| 2021 II | ...... | ...... | ...... | ...... |
| 2021 I | ...... | ...... | ...... | ...... |
| 2020 IV | ...... | ...... | ...... | ...... |
Deciders and beneficiaries
OPEN MACHINE LEARNING MTÜ
Decision-makers?
Relations:
2
Turnover:
Employees:
Aleksandr Illarionov
★★★★
......
Credit Score: Trustworthy
Reputation score: 110
Date of birth: ......
Active relations 2
Relations:
2
Turnover:
Employees:
Daria Aborneva
★★★★
......
Credit Score: Trustworthy
Reputation score: 110
Date of birth: ......
Active relations 2
*Any member of the management board may represent the non-profit association in concluding all transactions.
OPEN MACHINE LEARNING MTÜ
History of right of representation?
Field
Finance
Business age
4y
Beneficial country:
Estonia
Aleksandr Illarionov
... - ...
Daria Aborneva
... - ...
2020
2021
2022
2023
2024
2025
2020
2021
2022
2023
2024
2025
Finances and assets
OPEN MACHINE LEARNING MTÜ
GoodwillOPEN MACHINE LEARNING MTÜ
Taxes paid and estimated average salariesOPEN MACHINE LEARNING MTÜ
Quarterly indicators| Quarter | Turnover | Turnover | Labour productivity | Labour productivity | Employees | National taxes | Labor taxes |
|---|---|---|---|---|---|---|---|
| 2025 II | ...... | ...... | ...... | ...... | ...... | ...... | ...... |
| 2025 I | ...... | ...... | ...... | ...... | ...... | ...... | ...... |
OPEN MACHINE LEARNING MTÜ
Sales revenue by business areaOPEN MACHINE LEARNING MTÜ
Sales revenue by countryOPEN MACHINE LEARNING MTÜ
Financial indicators and prognosisOPEN MACHINE LEARNING MTÜ
Financial raiting: "SATISFACTORY" (2025 prognosis)2025 prognosis
LIQUIDITY
?
Net Working capital
...
Short-term debt coverage ratio
...
USE OF LOAN CAPITAL
?
Turnover ratio of fixed assets (X)
...
EFFECTIVENESS
?
Debt to assets ratio (X)
...
Capitalisation multiplier (X)
...
PROFITABILITY
?
Sales revenues (%)
...
Total asset revenues (%)
...
Equity revenues (%)
...
Unsatisfactory
1
2
3
4
5
Very good
OPEN MACHINE LEARNING MTÜ
Annual reportsLiabilities and debts
OPEN MACHINE LEARNING MTÜ
Credit score history and prognosisRecommended credit limit
... €
Recommended payment term
......
Business risk classes:
Trustworthy Neutral
Borderline
Problematic
Risky
OPEN MACHINE LEARNING MTÜ
Reports and assets-liabilities overview 03.05.2025?
Annual reports:
......
Annual reports: ......
Tax declarations:......
Assets to cover liabilities (short-term)
Assets: ...... €1 EURO of assets to cover short-term debt obligations: ...... €
Liabilities: ...... €Net Working capital: ...... €
OPEN MACHINE LEARNING MTÜ
Claims history?
Debt claims as of ......
Total debt claims: ...... €
Latest events
| ...... | ...... |
OPEN MACHINE LEARNING MTÜ
Income (turnover) and expenditure (taxes paid)?
| Quarter | Turnover | Turnover | National taxes paid | Labor taxes paid | Number of employees |
|---|---|---|---|---|---|
| 2025 II | ...... € | ...... € | ...... € | ...... € | ...... |
| 2025 I | ...... € | ...... € | ...... € | ...... € | ...... |
OPEN MACHINE LEARNING MTÜ
Bailiff's enforcement proceedings as of 03.05.2025?
Bailiff's enforcement proceedings MISSING
OPEN MACHINE LEARNING MTÜ
Regulations of the Payment Order Department as of 03.05.2025?
Regulations of the Payment Order Department MISSING
OPEN MACHINE LEARNING MTÜ
Court orders in the register as of 03.05.2025?
Puuduste kõrvaldamise määrus
04.11.2020
Regulation number: M 50159073 / M1
Regulation status has entered into force: 10.11.2020
Date of enforcement of order or additional period: 04.11.2020
Regulation status: Puudused kõrvaldatud
OPEN MACHINE LEARNING MTÜ
Decisions of the Consumer Disputes Committee as of 03.05.2025?
Consumer disputes MISSING
OPEN MACHINE LEARNING MTÜ
Court hearings as of 03.05.2025?
Court hearings MISSING
OPEN MACHINE LEARNING MTÜ
Rulings as of 03.05.2025?
Court settlemets MISSING
OPEN MACHINE LEARNING MTÜ
Notices and announcements as of 03.05.2025?
Announcements MISSING
Marketing
Business network
OPEN MACHINE LEARNING MTÜ
Business networkCREDIT RISK CLASSES
Deleted
Trustworthy
Neutral
Borderline
Problematic
Risky
Historical connection
Active connection
amount of turnover
amount of debt
Extension of networks
The network is visible with reduced links
Expand threads if desired
Beneficiaries network
OPEN MACHINE LEARNING MTÜ
Networks - Beneficiaries
The network is visible with reduced links
Expand threads if desired
Monitoring events
Filter
Dropdown
Dropdown
Neutral
Positive
Negative
No monitoring events found.
Failed to load monitoring events.