USEReady launches SemaBridge to align BI semantics with Snowflake AI

By AI, Created 12:46 PM UTC, May 27, 2026, /AGP/ – USEReady has launched SemaBridge, a semantic interoperability platform meant to keep business definitions consistent across Power BI, Tableau, Qlik and Snowflake. The company is positioning the product ahead of Snowflake Summit 2026 as enterprises look to reduce semantic drift and make AI answers more trustworthy.

Why it matters: - Enterprises often end up with different definitions for the same metric across dashboards, cloud data platforms and AI tools. - That inconsistency creates semantic drift, drives manual reconciliation and can undermine confidence in AI-generated answers. - USEReady is targeting that problem as more companies move business logic into Snowflake Semantic Views and AI services such as Cortex Analyst and Cortex Agents.

What happened: - USEReady announced SemaBridge, a semantic interoperability platform for enterprise data teams. - The launch comes ahead of Snowflake Summit 2026. - USEReady plans to demo SemaBridge and meet with enterprise teams focused on semantic modernization and AI readiness on Snowflake. - The product is available now for enterprise demonstrations and proof-of-concept engagements.

The details: - SemaBridge extracts semantic models from existing BI environments including Power BI, Tableau and Qlik. - The platform normalizes those models into an open, versioned canonical standard. - It deploys governed definitions into Snowflake Semantic Views, Cortex Analyst, Cortex Agents and Snowflake Intelligence. - Every run includes full lineage and an immutable audit trail. - No credentials are stored. - Processing runs entirely inside the customer’s own infrastructure. - USEReady says that makes the platform suitable for regulated industries and privacy-sensitive enterprise environments. - SemaBridge also supports extracting and normalizing measures, dimensions, hierarchies, relationships and filters. - The pipeline can detect semantic drift and unsupported mappings before deployment. - It can synchronize definitions across Snowflake, Power BI, Tableau, Databricks and Microsoft Fabric. - The platform is designed to ground AI agents in the same business definitions used in BI dashboards. - USEReady is offering a limited number of Semantic Health Check and Cortex Agent Readiness POC engagements for Snowflake customers. - Those engagements are intended to help customers identify semantic inconsistencies, assess Power BI-to-Snowflake translation opportunities and accelerate governed AI adoption. - To request a demo or discuss a POC, customers can email contact@semabridge.com or visit more information.

Between the lines: - USEReady is trying to position SemaBridge as a bridge between legacy BI investments and newer Snowflake-native AI workflows. - The pitch is that enterprises can reuse trusted business logic instead of rebuilding semantic layers from scratch. - The company is also leaning on governance and no-data-movement claims to appeal to regulated buyers. - The announcement reflects a broader enterprise push to make AI outputs consistent with the metrics already used in reporting.

What’s next: - USEReady will use Snowflake Summit 2026 to showcase the platform to enterprise data teams. - Early customer demos and proof-of-concept work will test whether SemaBridge can reduce reconciliation work and improve AI trust. - The company is also using the launch to drive interest in semantic modernization projects tied to Snowflake adoption.

The bottom line: - USEReady is betting that enterprises want AI-ready semantics without abandoning the BI definitions they already trust.