Solutions · AI & Agents
Give AI the context it can actually be trusted with
An agent is only as good as the data behind it. Sfere is a governed, consented, real-time fan graph built to be trustworthy context for AI: one resolved profile per fan, permission-aware at the source, reachable over an API — so automation acts only on data it is actually allowed to use.
- One resolved profile
- Real-time signals
- Consent at the source
- In-Kingdom residency
Interactive · The redaction pass
Watch the guardrail fire before the prompt exists
An agent’s question is simple: “what can I use about this fan?” The answer is decided at the data layer, not in the prompt. Flip the fan’s permissions and the model’s region, then run the pass — fields are kept or redacted in real time, and only the scoped, permissioned packet ever reaches the model.
Fan permissions — flip to revoke
Residency
7 of 9 fields reach the model
“What can I use about this fan?”
GET /v1/fans/fn_8f3a21/context
scope: fan consent · serving region: KSA
governance gate · evaluated at the data layer
fan_profile fn_8f3a21
one resolved profile · demo data
- fan_id identifier · pseudonymous fn_8f3a21 released to the model
- full_name string · pii region-bound Noura Al-Harbi released to the model
- email string · pii region-bound noura@example.com released to the model
- home_city string · geo · coarse Jeddah released to the model
- geo_point lat/long · precise region-bound 21.5433° N · 39.1728° E released to the model
- team_affinity attribute · score Al-Ittihad · 0.92 released to the model
- watching_now event · live Ittihad v Hilal · 41s released to the model
- lifetime_value number · SAR SAR 4,815 withheld — the fan has not consented
- rfm_segment attribute · enum “champions” withheld — the fan has not consented
// 2 withheld · no consent — the model never sees them
Why context is the hard part
The retrieval surface AI should be reading from
The live data platform underneath — a resolved, consented, real-time fan graph — is what agents and models ground on, not a lake of unowned, unlabeled records.
See it scoped in the demo above-
One resolved profile to read
An agent reads context from a single first-party profile per fan instead of reconciling three systems that disagree about who someone is. The fan graph is the retrieval surface, already stitched.
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Current signals, not last night’s
Ground a model in what a fan is doing now. A real-time event layer keeps context fresh to the moment, so an agent reasons over the present instead of a snapshot that expired at export time.
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Consent enforced at the source
An agent only ever sees data a fan has consented to. Permissions live at the data layer, not in prompt instructions the model can drift from, so automation stays inside the lines by construction.
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Residency the model can’t leak
In-Kingdom residency means fan context never leaves the jurisdiction it is governed in. The boundary is enforced where the data sits, not left to where an agent happens to run.
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Attributes an agent can filter on
Typed identifiers and attributes give an agent structured fields to condition on, so retrieval is a query against governed data rather than a scrape of whatever a fan once typed.
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Composable through the API
Reach the fan graph over a REST API and SDKs. Agents, models, and next-best-action logic plug into governed context without a bespoke data project standing in the way.
Governed context
An agent grounded on off-limits data is a liability, not a feature
Automation fails quietly when it acts on records that are stale or that a fan never permitted. Sfere keeps the fan graph fresh and permission-aware at the data layer itself, so an agent reasons over current, consented context. The guardrail is where the data sits, not a line in a prompt the model can wander past.
- Retrieve from one consented, first-party profile per fan instead of fragmented, conflicting sources.
- Serve signals in real time so an agent’s decision reflects the current moment, not a stale batch.
- Enforce consent and in-Kingdom residency at the data layer, so automation acts only on permitted data.
- Expose the graph through an API and SDKs for agents and models to compose against.
system: “…do not use this fan’s location or value data.”
✕ drifts past the instruction
How an agent reaches the graph
Resolve, scope, serve, act
Governance runs before an agent ever sees a field, so the context returned is already the context it is allowed to use.
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01
Resolve the fan
Fragmented touchpoints are already stitched into one first-party profile, so an agent asks about a person, not a device or a cookie.
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02
Check what’s permitted
Consent and residency are evaluated where the data lives, so the context returned is already scoped to what a fan allowed.
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03
Serve fresh context
The profile carries current signals from a real-time layer, so the agent grounds on now rather than a snapshot from last night.
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04
Act through the API
The agent reads governed context over the API and drives the next action, with the data trail queryable rather than opaque.
Ground your agents on data you can defend
Walk the fan graph, the consent model, and the API surface with our team, and see how an agent reads real-time, permitted context instead of a stale, unowned scrape.