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Autonomous Neural Intelligence Framework

Intelligence that predicts,
optimises and acts.

A neural framework that learns from every signal in your portfolio and acts on it autonomously. Privacy-first. Federated at its core. Models compound across brands without a single row of customer data ever leaving its tenant.

How it works →
Federated by design · Hashed at the edge · 0 rows moved
PredictOptimiseAct autonomouslyFederated by designPrivacy-first architecture
The problem

Why descriptive analytics has run out of road.

Today

Signal is shrinking

Cookie deprecation and consent prompts have hollowed out browser-side tracking. Models trained on yesterday’s data can’t see today’s customer.

Today

Privacy bolted on

Raw identifiers shipped to ad platforms is a liability the platforms hash anyway. Privacy needs to be in the architecture, not in the policy page.

Today

Humans in every loop

Dashboards describe; humans decide; campaigns drift. The next layer isn’t another dashboard — it’s a framework that acts.

Why XpertIntel

A framework the status quo can’t become.

Most stacks describe what happened. XpertIntel decides what to do next — and does it.

Status quo
XpertIntel
−Dashboards that describe the past
+A neural framework that predicts the next outcome — per session, in milliseconds
−Humans copying numbers between tools
+Autonomous optimisation: scoring, routing and dispatch act without a human in the loop
−One model per brand, retrained in isolation
+Federated learning — every venture sharpens the global model, raw data never moves
−Privacy bolted on after launch
+Privacy-first by architecture: hashed, consent-gated, server-side from row one
The framework

Predict. Optimise. Act.

A single neural pipeline runs across every venture, regardless of vertical — and gets sharper with every round.

01

Predict

Every session is scored in milliseconds against the federated model. The framework anticipates intent before the conversion happens.

02

Optimise & act

Scored events are routed autonomously — server-side, hashed, consent-gated — to sGTM, Meta CAPI and Google Enhanced Conversions. No human in the loop.

03

Learn, federated

Each round, every venture trains locally and shares weights — never rows. The global model returns sharper. Every brand benefits, none expose data.

See the full architecture →
Inside the Command Centre

Watch the framework think.

Live signal pipeline, autonomous router, federated model intelligence and Proof artefacts — one operator view across every venture.

Proof Layer

Every claim, audit-ready.

Uplift, CAC, signal recovery — every number is backed by a signed, shareable artefact.

  • Signed URL. Time-limited, revocable, scoped to a single venture.
  • PDF export. Forwardable to a board, with the underlying CAC baseline embedded.
  • Reproducible. Every figure can be traced back to the events that produced it.
EXAMPLE PROOF · venture-a
SIGNED
Signal recovery+34.2%
CAC vs baseline−18.7%
Outcomes (30d)1,284
CAC baseline£42.10
proof/venture-a/2026-04-22 · sha256:a3f1…c2e9
Outcomes

What an autonomous framework returns.

Illustrative ranges from federated, privacy-first deployments. Yours will depend on baseline coverage, consent rates and portfolio breadth.

Signal recovery
20–40%
vs. browser-side baseline
CAC delta
−10 to −25%
on consented audiences
Model lift
+8–18%
after first FL round

See the framework run live.

Twenty minutes. We’ll show the neural pipeline predicting, the router dispatching autonomously into Google Ads Enhanced Conversions, and a real Proof artefact. No deck.