Answering a question
AnsweredFive at the back. Away sides in a 5-4-1 who lead by one at the 75th minute go on to win 84% of the time.
Velatris Analytics designs, builds and runs its own software products. Each one gives data and AI a clear job, such as answering questions in plain English, catching what’s changed or creating something new.
Answering a question
AnsweredFive at the back. Away sides in a 5-4-1 who lead by one at the 75th minute go on to win 84% of the time.
Catching a price drop
Price dropDown $212 from what you paid. Your price-match request is ready to send.
Writing a bedtime story
ReadyReady for tonight: a five-minute story about doing your best, for ages 4 to 7.
Illustrative examples, not real data.
We build every layer of our products ourselves: the data pipelines, the models, the apps and the infrastructure that keeps them running.
People ask about the data in their own words and get an answer, a table and the exact query behind it, so every result can be checked.
We turn large historical datasets into rankings, head-to-head comparisons and simulation-based forecasts, recomputed whenever new data arrives.
Our systems watch fast-changing data, such as prices, around the clock and act the moment something changes.
We use language models to create personalized content, with review steps and safety checks suited to each audience, including young children.
Three commitments shape every product we ship.
Every model and feature is tested against a baseline on held-out data. If we can’t show an improvement, it doesn’t ship.
Sources, licensing, provenance and quality checks come before the first screen. An interface is only as good as the data under it.
We operate our own products, from accounts and payments to security and cloud costs, so reliability shapes design decisions from the first day.
We’re open to partnerships, data collaborations and conversations with people who want to build with us. Tell us what you have in mind and we’ll reply by email.