The platform
One connected architecture for your customer data
Most stacks bolt an engagement tool onto a CDP and then fight to make them talk. Sfere is a single system: collect, resolve, activate, and prove, with nothing exported between the products and no vendor lock on where it runs
Every stage runs in one engine
Every stage of the customer data loop runs in the same system, so identity, activation, and proof stay in sync by design rather than by integration
Collect from everywhere
A connector framework brings fragmented signals (web, app, commerce, streaming, CRM) into one pipeline, without hand-built glue for every source
Resolve to one customer
Rule-driven identity resolution stitches those signals into one golden profile per customer, across devices and channels
Store in a columnar warehouse
Resolved events land in a columnar analytical warehouse you own, with fast queries across the full customer history
Activate in real time
A real-time event pipeline triggers segments, journeys, and audiences the moment behavior happens, not on the next day's batch
Prove the outcome
Attribution ties exposure to outcome, so activation feeds measurement and the loop closes on revenue you can actually show a partner or a board
Deploy where you choose
The whole stack runs in your cloud, on-premise, or fully managed. The architecture is portable, residency included
Six stages, one pass
Every signal that enters Sfere runs the same path: the first stages happen in the request path, and resolution, storage, and activation run continuously behind it, so the customer graph is always current
Ingest
A signal arrives from any source through the connector framework: web, app, streaming player, ticketing, CRM, or a scheduled import. Each source normalizes its raw payload into a typed event before anything else touches it
Validate
Every event is checked against a defined schema and deduplicated, so malformed or repeated payloads are caught at the door rather than polluting the profile downstream
Resolve
Matching rules stitch each event's identifiers to the right profile, merging across devices and channels. When identifiers conflict, priority rules decide which profile wins the merge
Store
Resolved events land in a columnar analytical warehouse you own, which holds the full customer history and answers queries across all of it fast
Activate
The real-time streaming layer forwards behavior to segments, journeys, and audiences the moment it happens, so activation runs on live state rather than yesterday's export
Prove
Attribution ties exposure back to outcome, closing the loop so every activation feeds measurement you can show a partner or a board
A single system instead of a stack you have to wire together
When collect, resolve, activate, and prove live in one engine, data doesn't get copied, delayed, or lost between tools. That's what makes real-time activation and honest attribution possible at the same time
- Collect, resolve, activate, and prove run as one system, with nothing copied between tools
- Connectors bring sources in; identity resolution turns them into golden profiles
- A columnar warehouse holds the full history; a real-time pipeline acts on it live
- Portable by design: the same architecture deploys in your own cloud account, on-premise, or fully managed
Fits your stack instead of replacing it
The architecture is composable and API-driven. You adopt the components you need, keep control of your warehouse and your governance, and let business teams work the segment and journey surface on top
- Take only the components you need; the architecture is composable, not all-or-nothing
- Run queries against your own warehouse, or deploy the whole stack next to it with no third-party copy
- IT owns security, access, and residency; marketing works the segment and journey surface on top
- Everything is API-driven, so the platform fits your stack rather than replacing it
One architecture, wherever it needs to run
Because the whole system is composable and infrastructure-agnostic, where and how it runs is your decision, not a limit the platform imposes
Runs where you deploy it
The same architecture runs in your own cloud account, on-premise, or fully managed, in the region you choose. Residency is a deployment property, so the whole system inherits it rather than bolting it on
Warehouse-friendly
Point the platform at your own analytical warehouse, or deploy the full stack alongside it with a zero-copy posture. It sits beside your source of truth as a query-fast working layer, not a second system of record
IT holds the guardrails; teams ship the work
The system is designed so IT keeps control of security, access, and residency while business teams work the segment and journey surface on top
API-driven throughout
Every capability is exposed through an API, so the architecture fits into the stack you already run rather than asking you to replace it. Adopt the components you need, when you need them
See Sfere on your own customer data
Book a walkthrough with our team: how your channels join into one profile per customer, and what we would run first