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Framnex is a financial infrastructure and client monetization platform for businesses that want to launch branded financial products around existing customer relationships. The platform helps partners offer accounts, payments, FX, cards, wallets, payouts, money transfers, mobile banking apps, and digital asset products without becoming a bank or assembling fragmented infrastructure vendors. Framnex is built for companies that already serve clients with financial needs, including FX brokers, company formation firms, banking consultants, payment providers, digital asset platforms, marketplaces, and fintech startups. Partners can start with one financial product and expand into a broader ecosystem as client demand grows. The platform includes core banking, ledger, cards, payments, wallets, compliance, connectors, and developer capabilities. Framnex connects with banking, payments, cards, compliance, and digital asset infrastructure providers to support real financial product launches. Its guided implementation model helps partners define the business opportunity, design the product scope, configure the solution, integrate systems, test workflows, and prepare for production. The platform emphasizes enterprise-grade compliance, KYC and AML controls, transaction monitoring, regulatory support, security, and partner-first delivery. By combining white-label financial products, embedded finance, banking infrastructure, compliance workflows, cards, wallets, payments, FX, and guided launch support, Framnex helps businesses create recurring financial revenue under their own brand.

AnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack. Its Governed Control Model connects business meaning, data structures, transformation rules, dependencies, lineage and technical implementation in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design. Generated outputs can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, supported Microsoft Fabric components, deployment artefacts and Power BI semantic models. AnalyticsCreator supports dimensional, 3NF and hybrid modelling approaches together with ingestion, transformations, delta loading, historisation, Slowly Changing Dimensions, snapshots and repeatable data-processing patterns. Because generated outputs are native Microsoft technology, no AnalyticsCreator runtime is required in production. Organisations retain ownership of the resulting implementation and can integrate generated assets into Git, Azure DevOps and CI/CD workflows. Lineage, documentation and dependency information remain connected to the design, helping teams understand change impact before regenerating affected assets. Design Intelligence extends this governed project context into AI-assisted data engineering by providing authorised AI tools and agents with structured access to metadata, lineage, dependencies and design rules. Typical use cases include enterprise data warehouse development, Microsoft Fabric adoption, SQL Server and SSIS modernisation, governed Power BI delivery and repeatable data product engineering.