Sophisticated Data Management, Built for Enterprise Demands

DATA MANAGEMENT

Built for High-Volume Data,
Any Industry

We've built deep expertise running on top of grocery — one of the highest-volume, densest data environments in retail, generating millions of basket-level events a day. That's exactly the kind of scale that makes the platform hold up everywhere else too: any retailer juggling POS transactions, app clickstreams, ecommerce events, and custom data points specific to their own business ends up with the same problem — data that's too fragmented to actually use. Our platform is built to ingest all of it, structure it, and turn it into a single source of truth that every other part of the platform — promotions, loyalty, AI personalization — can draw on immediately.

FLEXIBLE BY DESIGN

A Data Model Flexible
Enough for Your Business

Customers, carts, and stores are built in — but your business almost certainly has data that doesn't fit a template.

Some data is universal enough to be native to the platform: customers, transactions, carts, stores. But real businesses generate data that no generic model anticipates — a custom in-app event, an industry-specific attribute, a loyalty mechanic unique to one brand. Instead of forcing that into a rigid schema, we let you define your own entities and structures for digital events and app tracking, and sync your product and location catalogs using your own internal IDs and taxonomies — so the data stays yours, in your language, not translated into ours.

FULL DATA HISTORY

Build Campaigns from Years
of Customer Purchase and
Behavioral Data

A high-performance audience engine, and customer attributes that update in real time or on schedule — your call.

Raw data isn't useful until someone can act on it — whether that's a marketer building a segment or an AI model scoring a customer. Our audience engine lets you build complex segments through a simple drag-and-drop interface, querying years of historical data without needing a data team to intervene — or import audiences directly via CSV or API if you already have them defined elsewhere. That same depth of history powers our AI layer: you can define custom customer-level attributes using plain SQL or advanced AI models — churn propensity, discount sensitivity, anything specific to your business — trained and calculated against years of real purchase and behavioral data, whether in real time for instant relevance or on a scheduled batch for deeper historical analysis.

ENTERPRISE CONNECTIVITY

API-first, with a direct line to
your data team when they
need it

SDKs and webhooks for fast integration. Raw SQL access for when your team wants to go deeper.

Data only compounds in value if it can move freely between systems. Our developer-first API and SDK architecture gets you integrated quickly; automated pipelines and webhooks keep high-volume data flowing to and from tools like Salesforce or Adobe without custom engineering on every side. And for the moments a dashboard isn't enough, we expose direct, raw SQL connectivity — so your own data and analytics teams can query the platform directly, on their own terms, instead of waiting on an export.

BUILT FOR ENTERPRISE SCALE

Over a trillion events.
Still real time.

Data management that has already been tested by the busiest retail moments in the calendar, not just in a sandbox.

None of this matters if it collapses under real volume. Our platform already processes over a trillion events for retailers operating across 100+ countries — the same infrastructure behind real-time promo evaluation and AI personalization, holding up at Black Friday traffic, not just in a demo.