Open for partnerships
Infrastructure and ontology engineered for a global marketplace
Shopiro Cloud is the internal technology stack behind Shopiro. A portfolio of deeply integrated systems for ontology, storage, and real time orchestration, designed to operate at a scale that most platforms never reach.
Semantic attribute graphs, compatibility logic, and schema synthesis for any product category, with automatic unit normalization.
Trillion scale container based storage that removes inode pressure, optimizes small objects, and maintains atomic operations.
Search, batching, caching, and AI augmented workflows that can run a complete marketplace or domain specific application stack.
Architected for global scale, not single tenant deployments.
Internal platform, external opportunities.
Three structural problems in modern platforms
Shopiro Cloud was built to solve the limitations we hit while building a large, multi vendor marketplace. The same limitations exist in almost every complex data product.
Incompatible product data
Manufacturers, brands, and sellers all describe the same thing in different ways. Without a shared ontology, filters are fragile, compatibility checks are unreliable, and discovery suffers.
Cloud storage overhead
At scale, small files, metadata, and inode limits become real constraints. Conventional object storage is not optimized for these patterns.
Intelligence that is never fully real time
Running deep reasoning in the hot path is expensive. Many systems fall back to heuristics instead of true, structured intelligence.
Pillar 1
CORTEX - Ontology Intelligence Engine
CORTEX treats product data as a structured, measurable universe. It is not a tag system. It is a semantic engine that knows what attributes matter, how they relate, and which combinations make products compatible.
- Automatic attribute schemas tailored to each product segment.
- Parent and child relationships with explicit compatibility rules.
- Unit aware reasoning with normalization to a canonical system.
- Dynamic filter generation for millions of listings without manual curation.
- Compatibility checks between user context (owned items) and any listing.
The same engine that can tell you if a mountain bike brake fits a specific frame can also drive industrial equipment matching, component validation, and procurement logic.
Titles, descriptions, spec sheets, unstructured attributes from multiple vendors and sources.
CORTEX maps each product into a segment specific schema, selecting precise attributes and units.
Products gain parent and child relationships, allowed pairings, and compatibility constraints.
Instant filters, “will this fit” checks, compatibility suggestions, and analytics over structured attributes.
Multi tenant aware API gateway that can sit behind a custom access control layer.
Pillar 2
Containerized distributed storage
The storage layer inside Shopiro Cloud is designed around containers rather than single files. It optimizes small objects, metadata, and inode usage to support very large ecosystems.
- Append only containers with compact indices and background compaction.
- Crash safe operations supported by pending logs and atomic transaction batches.
- Self sharding and migration capabilities for long term scalability.
- Multi tenant isolation at the storage level, with room for custom policy layers on top.
This design is particularly suited for large catalogs, AI workloads with many small artifacts, and any system that needs durable storage without typical inode limits.
Pillar 3
Orchestration core and search
Underneath the marketplace sits a general purpose orchestration engine. It coordinates search, caching, database batching, and AI augmented workflows.
- Full text search bridged with structured filters from the ontology engine.
- Batch transactions for database operations, with rollback safety and queueing.
- Multi layer caching for hot paths and derived computations.
- AI integration via recursive prompts that enrich search without blocking the main flow.
The orchestration core is what connects the ontology, storage, and business logic into a cohesive system that can power a complete marketplace or a domain specific platform.
Combines full text relevance, ontology filters, and user context into a single ranked result.
Aggressive caching for read heavy paths and background processing for work that can be deferred.
Write operations grouped into safe batches to preserve consistency across multiple steps.
Recursive prompt logic that can enrich searches or metadata without blocking the main request.
Where this technology applies
Shopiro Cloud was built for commerce, but the underlying concepts apply well beyond a marketplace.
Real compatibility answers, better filters, and richer product context.
- • Precision filters that do not break when catalogs grow.
- • Accessory suggestions that take true compatibility into account.
- • Structured attributes for analytics and price intelligence.
Complex parts, equipment, and maintenance histories mapped into a shared ontology.
- • Component compatibility chains and upgrade paths.
- • Cross vendor mapping without manual spreadsheets.
- • Safer configurations driven by explicit rules.
Storage and ontology building blocks for higher level AI applications.
- • Efficient object storage for model artifacts and small files.
- • Ontology APIs to turn messy data into structured graphs.
- • A foundation for domain specific reasoning engines.
Open to investors and strategic partners
Shopiro Cloud is currently used internally. We are exploring collaboration models, licensing, and strategic uses of the technology with partners who understand the value of long term infrastructure.
- • Venture capital firms looking at infrastructure and commerce.
- • Enterprises that need ontology depth without starting from zero.
- • Public and semi public actors focused on digital independence.