Why we're building Duodata
Enterprises live in metrics chaos, and it blocks trusted reporting, AI, and analytics.
Duodata's mission is to be the business-approved metrics layer that bridges business and data teams.
Where it started
At a Fortune 500 retailer, our CTO Luciano watched teams argue over "the right" revenue number before every board meeting. Data teams spent weeks reconciling KPIs instead of improving them. As we spoke with more mid-market and enterprise organizations with modern data stacks or migrations underway, we kept seeing the same thing: no shared, governed metric model that business and data could both stand behind.
Why we are building now
As founders we spent years in the Snowflake, Databricks, and dbt ecosystems and saw the same pattern. Architects and SIs told us they were quietly building their own metric layers because nothing on the market solved the problem. That validation from platform teams and partners convinced us to build Duodata as a business-first conceptual metrics layer instead of yet another bolt-on tool.
Where we are going
We are building industry-specific ontology templates so teams can start with pre-built metric models for retail, healthcare, and financial services. We are expanding platform support and connectors to more data platforms, AI agents, and BI tools. Our goal is simple: when serious data teams decide to fix metrics chaos before scaling analytics or AI, they start with Duodata.
Founding Team
Andreas Schurch — Co-founder & CEO
Ecosystem and market execution
Built repeatable enterprise growth through the cloud, SI, and technology ecosystems Duodata must win through.
- Generated $7.4M in partner-sourced ARR in Matillion's last full year, increasing partner contribution from 17% to 33%.
- Grew Google-sourced revenue 47% quarter over quarter during Trifacta and Alteryx's SaaS and Google Cloud transition.
- Built VaultSpeed's US operation and partner programs across the modern data stack.
Luciano Franceschina — Co-founder & CTO
Problem origin and product architecture
Turned a firsthand enterprise alignment problem into Duodata's core Metrics Ontology.
- At Migros, Switzerland's largest retailer, identified the challenge that became Duodata: business and data teams lacked a shared, governed model of what metrics mean.
- Designed Duodata's ontology model to connect approved definitions, valid variants, value drivers, and platform implementations.
- Previously co-founded Teralytics and helped scale its data product to 65 employees across more than 12 countries.
Georg Polzer — Co-founder & CRO
Company building and enterprise revenue
Knows how to turn a technically complex data product into a trusted global enterprise business.
- Co-founded and led Teralytics for 14 years, serving major public and private sector organizations across Europe and the United States.
- Built international teams in Zurich, New York, and Singapore.
- Raised venture and strategic funding from Bosch, Deutsche Bahn Digital Ventures, Atomico, Lakestar, and others.
Bryan Mull — Co-founder & CCO
Customer delivery and platform implementation
Brings the practitioner depth to connect business-approved definitions to the systems that execute them.
- Certified Data Vault practitioner since 2017, with dozens of Snowflake implementations across healthcare, insurance, and enterprise analytics.
- Founded Data Wranglers and datastack.cloud, helping enterprises implement modern Snowflake and dbt environments.
- Ensures Duodata works in the reality of production data stacks, not only as an abstract governance layer.
Product updates
Product updates and news around Duodata. One short email per month. Browse the archive and blog.