AI commerce · Dropshipping operations
Operational foundation builtAI Dropshipping Commerce Platform
An end-to-end commerce operating system that connects supplier ingestion, international storefronts, AI-assisted pricing and content, creative and campaign workflows, analytics, and controlled automation.
Client relevance: A controlled supplier-to-order product foundation with explicit market, AI-review, campaign, checkout, analytics, and operating boundaries.
Review this case study →Local-first automation · Cross-device control
Foundation in developmentOTask
A GUI-first, local-first orchestration platform designed to let trusted desktop devices execute deterministic, policy-approved workflows while mobile and web clients schedule, approve, monitor, cancel, and review work.
Client relevance: A safety-first foundation for running approved local workflows without giving the cloud or an AI model unrestricted command execution, with explicit approvals, lifecycle state, and evidence boundaries.
Review this case study →Connected-product research
Active R&DUnderwater Monitoring R&D
Long-term research into an underwater monitoring system for shrimp farming using video, water-quality sensing, remote control, and software-assisted analysis.
Client relevance: A staged prototype and validation programme that connects physical risk, embedded control, data quality, operator software, and future AI without unsupported field claims.
Review this case study →Marketplace engineering · Commerce systems
Architecture and product foundation plannedReusable B2C Marketplace Platform
A reusable B2C marketplace foundation for businesses that need buyer-facing product discovery, controlled catalog operations, checkout, cash-on-delivery workflows, and admin-managed order fulfillment.
Client relevance: A reusable marketplace architecture that separates stable commerce workflows from client-specific design, catalog, payment, and fulfillment decisions.
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