Our vision
Your team should debate the next move. Not the numbers.
Verity is the foundation under your marketing data. Everything lands in one place, modeled and correct, and we keep it that way. So your team never wonders whether the data is there or whether it adds up. The only question left is what to do with it, and we even help you with that!
Where marketing is today
The stack nobody designed
Your marketing data landed wherever the tools put it. Ad spend in Meta and Google, revenue in Shopify, behavior in GA4, email in Klaviyo. Then came a pipeline tool to move it, a BI tool to chart it, and a spreadsheet to glue it all together.
The shift
AI changed what data is for
For twenty years the finish line was a dashboard. A person looked at the chart, spotted the dip, and made the call. AI flips that. Now the system reads the data, explains the dip, and drafts the response. Your team moves from operating the tools to making the decisions.
That only works when the machine truly understands your business. A person can shrug off an ambiguous column name. A model will confidently compute the wrong number with it. This is why plugging an LLM straight into a warehouse demos well and falls apart in production.
The missing piece is not a smarter model. It is a layer that captures what your data means: what counts as a customer, which revenue is net, why February looks odd. That semantic layer is becoming the most valuable data asset a marketing team owns, and every part of Verity is built around it.
What we believe
Three beliefs we build by
01
One system beats five tools
Every handoff between vendors is a seam. Definitions drift there and problems hide there. So Verity is the whole pipeline, ingestion to activation, with one definition of customer running through every layer.
02
Your data belongs to you. Physically.
Verity runs in your own BigQuery project, under your own IAM. You can read every transform and audit every query, and if you ever leave, you keep everything we built. A platform that holds your data in its own systems is betting you will never ask for it back.
03
Trust is architecture, not a promise
AI on business data needs a semantic layer so it knows what your terms mean, access control enforced on every prompt, calls that stay in the EU, and an audit trail for every answer. Nothing you have to take on faith.
Where this goes
From answering to acting
Verity today is the foundation. Your pipelines run managed in your own warehouse, your semantic layer holds your definitions, and every number your team works from traces back to verified SQL.
Each release moves the platform from answering to acting. Analyses that run on schedule and flag what changed. Audiences that stay in sync with live definitions. Budgets challenged with evidence instead of opinion. The end state is a marketing operation where the data does the routine work and your team makes the calls.
We build this in the open. The changelog is where the vision becomes real, one release at a time.
Put your marketing data to work
See where the platform is today and where it is heading, on your own data.