Show don't tell.
Build don't pitch.

We make AI trustworthy inside enterprise analytics — then make it fast.

• MCP server development & integration — builders of qseow-mcp, the open-source MCP server for Qlik Sense client-managed estates
• Agentic validation & QA pipelines — orchestrated sub-agents with human-in-the-loop review; ~80% reduction in manual review effort on critical finance data
• AI-integrated data catalogs and governed metric registries in daily enterprise use
• Developer enablement: we converted a skeptical BI team at a large enterprise finance organization with one live demo — ~50 governed metrics, glossary tie-out, AI-ready knowledge base in minutes
• AI adoption strategy and best-practices leadership for analytics organizations

Qlik architecture that scales, governance audits that surface risk before it reaches production, and KPI lineage that shows exactly what's downstream before you change a field — with audit-ready documentation throughout.

• Qlik Sense & QlikView architecture and development
• Governance audits across 300+ app estates
• KPI lineage and impact analysis
• Dashboard development, mashups, and extensions
• Performance optimization and reload engineering

You can't govern what you can't see. We map data flows across systems, build lineage matrices, and give you the documentation your compliance team has been asking for.

• Cross-system data lineage mapping
• APQC taxonomy alignment
• Impact analysis for schema and ETL changes
• Data catalog development
• Governance framework design and implementation

Legacy-to-cloud migration with the blast radius mapped up front. Thousands of SQL scripts converted, hundreds of workflows documented, and parallel migrations validated before cutover — change-control-friendly at every step.

• SQL dialect conversion (Teradata, Oracle, MSSQL → cloud-native)
• KNIME-to-cloud workflow migration
• Parallel migration validation
• Workflow documentation and dependency mapping
• Zero-downtime cutover planning

We use AI to compress quarters of delivery into weeks, with human-in-the-loop review on anything that ships. Practical, audit-ready integration — directed at real problems, not slideware.

• AI-assisted code generation and review
• Automated documentation and analysis pipelines
• Custom AI tooling for enterprise workflows
• Productivity multiplier strategies for dev teams
• Practical AI integration — not PowerPoint AI

From iOS apps to SaaS platforms, API design to payment integration. We've shipped production products end-to-end — not prototypes, not MVPs, real products with real users.

• iOS and web application development
• API design and cloud infrastructure (GCP, AWS)
• Payment integration (Stripe, Apple IAP)
• CI/CD and DevOps pipeline design
• Product architecture and technical strategy