Structured, documented data, delivered where your team already works.
We turn data that is hard to collect, scattered across websites, documents and channels that change every week, into datasets you can query: normalized into a relational model, documented column by column, checked against its sources on every update, and shared on the data platforms you already use.
Ready to query today, each with full documentation and sample SQL.
Every card promotion in Paraguay’s retail banking market, in one structured, query-ready dataset.
If what you need isn’t in the catalog yet, tell us. We build datasets to order, from the first sources to a schedule of updates, and deliver them like every dataset here.
The standards behind every dataset we publish, and every one we build for a client.
Every view and column carries its description, on this site and in the platform itself, so analysts, engineers and AI assistants all read the same dictionary.
A published column is never removed, renamed or redefined. A change that would break a schema ships as a new version beside it, and the old one keeps working.
Records are verified against their original sources on every update, and every update is logged, so you always know how fresh the data is.
Records a source stops publishing are retired, not deleted, so the data holds everything ever seen, not only what is live today.
Native shares on the data platforms your team already uses: no scraping, loading or ETL on your side, and updates that land on their own.
Normalized, fully described models that map directly to text-to-SQL, tool calls and retrieval pipelines, so assistants query facts instead of guessing.
When the data you need isn’t in the catalog, we build it: collected from the sources you name or the ones we find, structured into a documented model, kept fresh on your schedule and delivered to your platform.
Tell us the data you need, the market it covers and how fresh it must be. We reply within one business day.
We map the sources and propose a schema with sample records, so you can check the shape of the data before the build.
We build the collection pipeline, normalize every record into the model and check the results against their sources.
The data lands on your platform, documented like every dataset in the catalog, and stays fresh on the schedule you chose.
Answer what you can and leave the rest blank. Nothing is sent until you send the email.
Opens your email app with your answers in it.
Using webmail? Copy the request and send it to [email protected].
Each dataset’s page lists where it is available today. The catalog starts on the Snowflake Marketplace, with more platforms on the way, and custom datasets are delivered to the platform your team uses.
Data that is public, or that you have the rights to share with us: prices, promotions, catalogs, listings, registries and more, from websites, documents and feeds. Tell us what you need, and we will tell you what is feasible.
Yes. It can be a one-off snapshot, or a living dataset we keep collecting, verifying and refreshing on the schedule you need.
It depends on the number of sources, the coverage and how often the data must be refreshed. Send us your brief, and we will reply with a scope and a quote.
It depends on how many sources there are and how they publish. We reply to every brief within one business day, and agree a schedule with you before the build begins.