Observational Intelligence / CRSIF
A flagship public-impact use case supporting CRSIF, road safety, human-interface data, compliance signals, risk dashboards, and prevention-focused intelligence.
About Somiphy
A standards-first intelligence company for messy, high-value data.
Somiphy helps organizations turn fragmented data into trusted intelligence. We apply data governance, dashboards, workflow automation, and responsible AI.
The company is built on one belief: AI cannot work with unreliable data. Before organizations can scale AI or dashboards, they need trusted data first.
Somiphy Engine
Trusted Data → Governed Intelligence → Action Signals
Somiphy applies the same intelligence discipline across observational data, product data, and operational data ecosystems.
CaptureValidateStandardizeGovernAnalyzeActivate
Somiphy intelligence domains
Product Data Intelligence
For retailers, manufacturers, suppliers, distributors, importers, CPG brands, and product-driven organizations preparing data for AI-enabled operations.
Operational Intelligence
For mature organizations modernizing databases, reporting, dashboards, workflows, integrations, automation, and AI readiness.
20+years of GS1 Canada experience related to data standards, structured information, compliance, interoperability, and enterprise data ecosystems.
Founder Credibility
Built on decades of data standards experience.
Somiphy is led by a founder with deep experience in data standards, compliance, and enterprise data.
AI is only as powerful as the data foundation behind it.
That foundation gives Somiphy a rare advantage. We can design AI systems that are modern, trusted, scalable, and ready for real operational use.
The Somiphy Difference
Standards-first intelligence for organizations that cannot afford unreliable data.
Somiphy combines data standards, enterprise architecture, AI readiness, and compliance thinking into one practical model. The result is intelligence that is structured, explainable, and useful in the real world.
Data models, validation logic, standard definitions, and governance controls designed before intelligence is activated.
SOA, API-first integration, cloud applications, secure data flows, and modular systems built for long-term scale.
Dashboards and analytics experiences that help leaders see patterns, compliance gaps, risk signals, and next actions.
AI workflows supported by data quality, auditability, explainability, role-based access, and accountable governance.