Platform · Infrastructure
Shopify, Meta, Google, Klaviyo and clickstream, tied to every customer.
The thesis
Your data lives in eight places. Your AI sees two. The Unified Data Platform pulls Shopify, Meta, Google, Klaviyo, and on-site behaviour into one identity-resolved feed, so every agent reasons from the same source of truth, in near real time.
What it does
Each capability is wired into the same data model and shared by every agent. Nothing here is a side feature; the platform is the product.
Orders, products, customers, inventory, returns. Shopify is the source; we mirror, enrich, and keep it fresh.
Meta, Google, TikTok. Spend, impressions, conversions, and creative-level performance, joined to the customers they actually produced.
Klaviyo flows, campaigns, segments. Open and click events stitched to on-site sessions and orders.
Every page view, scroll, click, and dwell. The signal layer most stacks throw away.
Anonymous device to known email to repeat customer. Stitched continuously so cohort questions become trivial.
Every architectural decision here reflects a strong opinion about what makes AI useful inside a real growth team, not what makes a demo land.
Belief 01
You cannot fix last-click in a dashboard if the dashboard is fed by disconnected sources. The fix is upstream, in the data model.
Belief 02
A daily ETL is fine for a quarterly report. It is useless for an agent making a decision now. We treat near-real-time as the floor.
Belief 03
Most stacks organise data by source. We organise it by customer. Every event ties back to a person, every person to their full history.
Inputs
How the agents use it
Unified Data Platform is shared infrastructure. Every agent reads from it, so the work each one ships is consistent with everything else moving through the store.
Analytics Agent
Answers cohort and channel questions in seconds, not after a data team builds the join.
CRO Agent
Runs experiments against real conversion signal, not noisy session data.
Creative Agent
Sees which creative actually drove revenue, not just clicks.
Merchandising Agent
Watches inventory and demand on the same chart, in the same model.
Operations Agent
Catches anomalies because every signal lands in one place.
In one line
Most teams spend the first six months of any AI project building this layer. Spectrum ships with it.
How the platform behaves
Agents read from structured, retrievable context. Prompts can lie about what an AI knows. A graph cannot.
Every agent queries the same data layer. No copies, no divergence, no silent disagreements between tools.
The platform tunes itself as the catalogue, audience, and market move. Static defaults rot fast.
Every action ties back to the context it read and the data it saw. Nothing the agents do is a black box.
The rest of the platform
Brand Context Engine
Your brand's memory, always at hand for every agent.
Personalisation & Experimentation Engine
The right experience for every visitor, without code changes.
Inspiration Libraries
Curated creative and merchandising references your agents draw from.
Playbooks
Battle-tested growth workflows, automated end to end.
A 20-minute walk-through. Real catalog, real data, the platform running against a duplicate of your live store.
Join the Waitlist