Technology products for connected iGaming operations.
Tecnosfera develops focused B2B products around three recurring needs: engage players with context, turn gaming data into answers and integrate casino content through a controlled transaction layer.
- Independent, focused products
- Provider-neutral boundaries
- One operational perspective
Jurnexus connects signals to action
Jurnexus brings behavioural signals, pseudonymous player profiles, audiences, campaigns, journeys, channels, reviews and analytics into one engagement layer.
Versioned contracts, explainable decisions and action-time safeguards help teams understand what happened as well as activate the next step.
- Player 360 and device context
- Visual journeys and ad-hoc campaigns
- Governed omnichannel activation
EyeQ turns gaming data into answers
EyeQ combines an iGaming-oriented model with a library of purpose-built queries across sportsbook, casino, players, finance, marketing, risk, KYC, responsible gaming and technology.
It avoids rebuilding the same calculations in each generic BI project while keeping definitions and source logic governed.
- Gaming-specific KPI definitions
- Reusable query and report library
- Executive and operational views
ALHICA normalises casino integrations
ALHICA connects operator platforms, PAMs and wallets to game studios and external APIs through consistent launcher, session and transaction models.
Aggregator Admin centralises investigation, provider configuration, financial reconciliation and operational evidence.
- Platform and provider connectors
- Transaction, session and configuration engines
- Reconciliation and end-to-end audit
The essentials, without ambiguity.
Must the products be deployed together?
No. Each product solves a defined problem and can be introduced independently around an existing platform.
Are they tied to one gaming platform?
No. Their boundaries integrate approved platforms, providers and APIs through explicit contracts.
Choose the operational problem to solve first.
We can map the systems, constraints and evidence before defining the smallest useful implementation.