Antvia is two products under one roof. Antvia Data gets your data in, governed and ready. Antvia Intelligence turns it into metrics, answers, and decisions you can measure.
Each stands on its own. Together they close the loop.
Different starting points, same destination. Find the one that sounds like your business and we will show you that half first.
The four above are how people describe the problem. These five are the shape of company it tends to be, with the situation and the benefit written out in full.
We are starting our data and AI journey and do not want to start it twice.
The number on the leadership dashboard moves when the business moves, and says so when the data stops.
We have a lakehouse. It is not AI-ready, and it will not survive an audit.
The monthly argument about whose yield number is right turns into a conversation about the process itself.
Our data carries patient identifiers and we cannot say who has seen them.
An access review becomes something you run, rather than something you schedule two weeks for.
Our product is data-heavy. The platform has to be right first time.
The analytics in the product and the analytics behind it stop being two systems that have to be kept in step.
We pay enterprise BI prices for dashboards nobody trusts.
The review starts at the decision rather than at whose number is right.
These five companies are invented. They are the shapes of business Antvia is built for, written out so the product has something concrete to work on, and Acme Home Appliances is the company you will see inside the demo and the videos. None of them are customers.
Connects every source into one governed lakehouse, cleaned through bronze, silver and gold. Lineage on every hop, and quality gates that stop bad data before it reaches anyone. People and AI agents are onboarded the same governed way, which is what AI-ready actually means.
Explore Antvia Data →Watch the tour, 9 min →Every metric defined once, so two dashboards cannot disagree. Ask in plain English, or open the dashboard built for your role. Propose a change against that metric, get it approved, then find out what it was actually worth.
Explore Antvia Intelligence →Watch the tour, 8 min →It starts with an observation. A dashboard moves, or somebody asks a question in plain English, or an alert fires because a number crossed a line.
That becomes a proposal, with the metric it expects to move and the stores it applies to written into it. It gets argued over, and it is either approved or turned down. The ones turned down are kept, because the reasoning is the useful part.
What is approved gets carried out in the business. Once somebody records that it happened, the same metric is read again, against what was predicted and against the stores nobody touched. That is how you find out what it was worth.
A proposal has to name a metric the platform computes and the stores it applies to. Without both, it is not admitted. That is what stops the register filling up with things nobody can ever check.
When two changes overlap the same stores in the same window, their effects cannot be separated. Antvia says so and claims nothing, rather than reporting a number it cannot defend.
Most decisions have an effect nobody wrote down. A price floor that lifted gross and quietly cost you volume. Antvia surfaces those next to the win.
Ingestion, storage, transformation, query performance and cost, measured on a real production deployment rather than a synthetic test. Every figure below is reproducible, and the full method comes with the report.
Tell us which of the four sounds like your business and we will show you that half, rather than walking you through the full tour. Thirty minutes, and you can bring your messiest source to it.