Antvia · live

A data lakehouse,
in motion.

Five sources flow in. The cleaner promotes raw bronze to silver. The modeller shapes silver into gold. Dashboards, reports and chat read live; AI decision engines and APIs train on the same gold layer; partners consume it through a marketplace and a read-only API. No glue code, no idle clusters.

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ANTVIAPOSSIBILITIESDATA MARKETPLACE · GOLD AS PRODUCTSREGIONAL TRADE-IN INDEX47 SUBSPER SEATEV ADOPTION HEATMAP23 SUBSPER CALLLENDER DEFAULT SIGNALS31 SUBSANNUAL+1DBLOGSCSVIOTAPILAKEHOUSEBRONZESILVERGOLDCOLONYUPLOAD PORTALCSV · XLSXSELF-SERVE UPLOADALERTSEXTENDSEXTENDSTRAINED ON GOLDREADS GOLDANALYTICS · WEB & MOBILEQUARTERLY REVIEWTrade-In Q1LINEAGE · A4 · v1Page 1REPORTS · COMPLIANCEECHO · ASK YOUR DATATop product last quarter?ECHOSKU-A14 · 1.2M units(+18% YoY) · A22 close #2AI CHAT · NATURAL LANGUAGEDECISION ENGINEINPUTS · EVENTS · CONTEXT · FEATURESTOP DECISION · LIVESEGMENTTier 2 → Tier 1CONFAI · DECISION ENGINESHARED WITH THE BOSSINFERENCE · LIVELAST CALL · RISK SCORE0.84738ms · ✓ HEALTHYAI · PREDICTIONS APIREST · OAuth2PARTNER API · RESTGET /v1/insights1.1k req/s23ms · OAuth2 · v1PARTNER APISAAS APPSBI TOOLSML STACKS
01

Antvia

The platform itself: sources, ingestion, the bronze, silver and gold lakehouse, and the surfaces customers use every day. Lens, Echo, Explore, reports and alerts all read the same gold layer.

02

Possibilities

Apps and products you build on top of Antvia. A decision engine, a real-time predictions API, a partner API for downstream tools, and a data marketplace publishing your gold as products.

03

Live, not faked

The simulation is the same engine that runs the real product, just visualised. Workers spawn per workload and dissolve when done, exactly how Antvia provisions in production.

What a walkthrough covers that this does not.

We connect one of your sources live, watch it land in bronze, promote it, and put a real number on a dashboard. Then we take a decision you made last year and show you what it would have looked like measured. Bring the messy source and the argument you never settled, in that order.

Next step

See it on your own data.

Thirty minutes, on the half you came for. You can bring your messiest source to it.