The Data Product Builder
Point Vetros at your sources and say what you want to see — it builds a live dashboard on your real data and keeps it up to date on its own.
Free to start. Your data products keep refreshing even after the free builds run out.
You get the dashboard. Everything from source to refresh is handled for you
Dashboards built with Vetros
A few real ones, published from the builder. Click through them.
GA4 Analytics
Sessions and revenue by day, a purchase funnel, traffic sources, top products and countries.
Open dashboard 20 chartsETF Deep Dive
Returns and volatility across a basket of ETFs, with rebased price lines and a monthly return heatmap.
Open dashboard 15 chartsCredit Risk Dashboard
Credit scores by risk class — distributions, percentile breakdowns and the high-risk share.
Open dashboard 19 chartsThe State of AI Pricing
What 399 models cost per million tokens, plus context windows and price by provider.
Open dashboardOne workspace, from source to dashboard.
Sources, pipeline, models, and the dashboard — all one build. Click through the real builder.
Every chart traces back to the source it came from.
You have real data and no data team. Neither side of the market fits.
App builders put a slick UI on data you wire up yourself. The data stack the big companies use needs weeks of setup and someone to run it. Vetros sits in the middle.
App builders
Glide, Retool, and Basedash give you a fast UI — but you still connect the sources, write the queries, and model the data yourself. There's no ingestion or transformation layer underneath, just the app on top. Great until keeping the data clean and connected becomes the real work.
Your real data, as a dashboard
You describe what you want to see and Vetros builds it — a live dashboard on real, connected, modeled data. Every number traces back to where it came from, and nobody has to wire it together.
The full data stack
Fivetran, a transformation layer, and a BI tool go deep. You also assemble them and pay someone to keep them alive. Weeks pass before the first chart shows up.
From a sentence to a data product that keeps itself up to date.
You describe what you want in plain words. Vetros does each step below and shows its work as it goes.
Connect a source
A database, a SaaS app, an API, or a file. You authorize it once.
SOURCEIt writes the ingestion
Vetros writes the loader for that source and runs it under your own credentials. No keys sit on disk.
INGESTData lands in your warehouse
Into a private space only your account can read. Every query is checked for cost before it runs.
WAREHOUSEIt models the data
It cleans and joins the raw data into the tables your dashboard reads, and writes the tests that guard them.
MODELThe dashboard renders
Charts run their SQL live and appear as they're built. There is no build step to wait on.
DASHBOARDVetros tracks the whole path, so a change to one source reruns just the models that depend on it and refreshes the dashboards below. No morning spent hunting down why a chart broke.
A dashboard on real data, with nothing for you to run.
Today the data product is a live dashboard; alerts and digests off the same data are coming next. Either way, the parts that usually need a data team — connected sources, modeled data, tested numbers, cost control — are built in and stay out of your way.
You can read every line
Every source and model is real, readable code you can open. Read it before it runs, edit it by hand, or leave it alone — it's yours to keep and change whenever you want.
No database to set up or babysit
Your data lives in BigQuery on Google Cloud — a serverless warehouse that scales itself. Idle days cost next to nothing; busy days just scale up. There's no server for you to size, patch, or keep alive.
Live charts, no build step
Every chart runs live against your data and updates the moment you edit it. There's no build step, and no static site that quietly goes stale.
Costs stay predictable
Every query is priced before it runs, and a daily budget keeps every refresh under a ceiling you set once. Predictable spend, and nothing to monitor.
Trace any number back to its source
Wonder where a figure came from? Follow it back through every step to the raw source it started from. When something looks off, you can see exactly what it depends on and why.
Runs on Google Cloud, and only yours.
You're not handing your data to a random app on someone's server. It lives in Google Cloud, in the region you pick — encrypted, and private to you.
Runs on the cloud you already trust
Your warehouse is BigQuery on Google Cloud, in the region you choose (EU by default). We don't run any storage of our own.
Your data stays yours
It's yours to read, export, or take with you whenever you want — every source and model is plain, readable code, not a black box. Nothing here locks you in.
Encrypted, and never used to train
Encrypted in transit and at rest. Source credentials live in Google Secret Manager — never on disk, never sent to the AI. Your data is only ever used to build your dashboards: never sold, never shared, never used to train a model.
Common questions
Can I read and edit what Vetros writes?
Yes. Every source and model is ordinary, readable code. Read it, change it by hand, or tell Vetros to change it. It gives you a head start on work you fully own, and nothing locks you into what it produced.
What happens when Vetros gets something wrong?
You watch each step as it runs, and you can stop it or step in. Since it's all plain, readable code, you can also fix a model yourself and rerun. If a result looks wrong, you don't have to keep it.
Where does my data actually live?
In your own space on Google Cloud — a BigQuery warehouse in the region you pick when you start (EU by default). It's encrypted in transit and at rest, and only your account can reach it. An idle account runs no compute, so it costs next to nothing until you use it. Already run your own warehouse, or need a bigger one? That's a conversation we have with larger accounts.
Is my data private? Does the AI see it?
Your data is private to your account — encrypted, only ever reachable by you, and never sold, shared, or used to train a model. Vetros's agent writes the loaders and models by working from the shape of your data, but your source credentials are stored securely and never reach the AI.
How do you keep costs from surprising me?
Every query is estimated before it runs, and a daily budget halts anything over the line. Scheduled refreshes run on that same capped budget, so recurring cost stays predictable and you set the ceiling once.
Do I need to know SQL or how any of this works to start?
No. Vetros writes it all for you. It helps to read SQL when you want to check a number yourself, and the code is right there when you do.
Priced against what it replaces.
Instead of paying for an ingestion tool, a transformation tool, a BI seat, and the person to wire them together.
Build a data product, then keep it running.
- 1 workspace, 1 source
- Daily refresh, kept running at no monthly cost
- Build runs included, then you pay only to build more
For the operator running the business on this. More sources, faster refresh.
- Several sources, hourly refresh
- Dashboards and viewer seats included
- A larger build allowance
For a small team that has outgrown one operator running everything.
- More sources, refresh every 15 minutes
- Roles and permissions
- Priority support
For larger data and stricter rules than a shared plan can hold.
- Bring your own warehouse
- SSO and a signed isolation agreement
- A support agreement
Pay yearly and two months are on the house. Prices are early and may move as we add more.
Point it at your data.
Connect one source and Vetros builds your first data product — a live dashboard on your real data. You're reading it the same afternoon.