

Solutions
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Data Assurance
A solution that detects and resolves mismatches across critical data flows such as billing, reporting, revenue share, and partner settlements. Designed for high scale validation and business level traceability, deployed in environments where correctness directly impacts performance and compliance.
By combining rule-based reconciliation with AI-powered pattern recognition, it identifies failures that traditional checks overlook, accelerates root cause analysis, and enables faster, more targeted resolution. -
Data Layer for TMForum OpenAPI
A cloud native integration layer for CSPs looking to adopt TMForum OpenAPI standards without rewriting their core systems. It acts as a translation and orchestration layer between legacy BSS and OSS platforms and TMF aligned applications, enabling fast, standards based integration. Supports dynamic API versioning, customer specific extensions, and built in observability. Designed to reduce transformation complexity and accelerate interoperability across internal and external ecosystems.
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GraphQL Layer for K2Fabric
A development framework to expose your K2Fabric-managed data through modern, schema driven GraphQL queries. It removes the need for custom endpoint development and unlocks secure, introspectable access to structured data, including MDBs, reference sets, and runtime entities. With built-in tools for schema design, access control, and query execution for development and testing, it gives teams faster delivery paths and reduces reliance on vendor specific implementation cycles. Ideal for organizations looking to increase agility across integration, analytics, and application layers.
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K2Fabric Extensions
A curated set of reusable modules, orchestration patterns, and delivery utilities designed to accelerate and standardize K2Fabric implementations. These extensions reduce build time, enforce consistency across programs, and improve testability without reinventing core logic. Developed for high scale deployments, they provide a faster path to production while lowering delivery risk and engineering overhead.
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