Product Portfolio

Three platforms, one thesis: targeted technology beats generic software.

Every product below is designed around a specific market structure in Africa and diaspora-linked ecosystems.

Hottray: orders flowing through delivery windows from kitchens to city delivery zones Food Commerce

Hottray

Food ordering and delivery platform dedicated to African restaurants in both Africa and diaspora-host cities.

  • Delivery-window orchestration for predictable kitchen operations.
  • Diaspora-aware marketplace with cross-border voucher capability.
  • Multi-subsidiary city launch model for rapid geographic replication.
Full profile
dropCab: a posted city route with verified riders filling available seats and rising vehicle occupancy Mobility

dropCab

Ride pooling platform that helps car owners post trips and enables verified riders to share seats safely.

  • Occupancy-driven model that reduces trip cost and traffic pressure.
  • Verification and trust workflows for riders and drivers.
  • Suitable for both intra-city and selected inter-city corridors.
Full profile
Livestocx: a tagged animal record with lifecycle history, custody ledger and auction price discovery Agritech + Markets

Livestocx

Smart platform for collaborative livestock trading, custody operations, and individual-animal traceability.

  • Investor app, farm-staff app, and role-based governance console.
  • Managed custody and dynamic cost-model tooling.
  • Auctions, voucher rails, and future smart bio-data integration.
Full profile

Shared platform principles

DimensionWhat Deinox appliesPortfolio impact
Security modelLayered access control, request hardening, and auditable actions.Lower fraud and safer operator workflows.
LocalizationCurrency-aware and city-aware operational configuration.Fast adaptation to each market's realities.
Operational visibilityStructured lifecycle states and admin observability.Transparent support, compliance, and reconciliation.
ScalabilityConfiguration-first market expansion model.Reduced expansion cost and deployment time.