MICo
MICo builds machine-learning products for iGaming operators: Player Intelligence, which predicts future VIPs and churn risk, and a Recommendation System that personalises game lobbies. Both connect to the operator's stack via API.
Общая информация
- Сайт
- www.mico.team
- Контакты
- Telegram: @Vladimir_SPL[email protected]
- Категория
- Услуги
- Юридическое лицо
- MICO AI SOLUTIONS LTD
- Какие задачи решает
- High-value players identified too late by CRM filters
- Churn noticed only after players have gone quiet
- Bonus and VIP-manager time spent on players with limited future value
- Static, manually curated game collections that ignore individual behaviour
- New players leaving before they find relevant games
- No in-house data science team to build predictive models
Инструменты
Early VIP identification
Part of Player Intelligence: flags players with high-value potential within the first 3 to 7 days of activity and gives each a confidence score for the VIP team's priority list.
Churn prediction
Estimates a player's churn risk up to 30 days ahead, while the player is still active and reachable.
Non-promising VIP detection
Identifies VIP players with limited future value so bonuses and manager time can be reallocated.
Growth-potential segmentation
Separates players who still have room to grow from those who have reached their ceiling, to focus VIP effort on the highest LTV potential.
Recommendation System
Personalised, ranked game recommendations for lobby blocks, search results, similar-games sections and saved-games selections, ranked against the operator's goals.
API delivery
Predictions and recommendations are delivered into the operator's CRM or product via API.
ИИ
Использует ИИ
Machine-learning models trained on the operator's gaming, transactional and behavioural events (not personal player data) predict VIP potential, churn risk and player value and rank games for each player; MICo says each prediction shows the factors behind it.
О продукте
MICo (Machine Intelligence Corporation) develops machine-learning products for iGaming operators. The company, legally MICO AI SOLUTIONS LTD, was founded in 2024 and is based in Limassol, Cyprus; it says that most of its ML researchers hold PhDs in mathematics or physics.
Its Player Intelligence product works on an operator's own gaming and behavioural data to predict which new players will become VIPs, which players are at risk of churning, and which VIP players have reached their growth ceiling. Each player receives a confidence score, and CRM and VIP teams get a prioritised list with guidance on whom to contact, when and how. MICo says early VIP signals appear in the first three to seven days of activity and churn risk can be flagged up to 30 days ahead.
The Recommendation System replaces static or rule-based game collections with a ranked, personalised list for each player, built from signals such as game launches, clicks, returns to titles, deposits, withdrawals and playing pace. Recommendations can feed a 'Recommended for you' lobby block, search results, similar-games sections and selections based on saved games, and are ranked against the operator's goals such as GGR, deposits and retention.
Both products run as SaaS and deliver predictions into the operator's systems via API; MICo says integration can take as little as three days, depending on how ready the data is. The models use non-personal gaming and behavioural data, explain the factors behind each prediction, and data is processed under ISO 27001 and GDPR requirements.
MICo publishes anonymised case studies: a CIS operator with about 615,000 monthly active users that reported a 14% rise in platform GGR after switching to ML recommendations, and a CIS operator with over 700,000 MAU where ML-prioritised players reached the VIP threshold in 11 days instead of about 63.
