An AI promoter on every screen. A live co-pilot for every rep.
- Engages shoppers on-screen. No agency, no headcount.
- Alerts the nearest rep with the right talking point.
- Captures every objection and question as signal.


Agentic OS for retail
Train one brand model. Deploy it across showroom displays, rep phones, field teams, and HQ dashboards. Strategy reaches the floor — the floor reaches HQ in real time.
An AI promoter on every screen.
An AI promoter on every screen.
Trusted & backed by
The platform
Consumer electronics brands run retail through a dozen siloed vendors — a field agency, an LMS, a mystery shopper firm, BI dashboards that show you last quarter. BrandContext replaces the stack with a single agentic OS: one brand model, trained once, deployed across every surface, feeding live signal back to HQ.


Roleplays tuned to your SKUs and competitors. Scores every rep, surfaces gaps, auto-queues training the moment a gap appears.


+5Turns a voice note or photo into a record. Routes issues to the right owner, tracks resolution, feeds Atlas with compliance, demo quality, and pricing.
Every conversation, visit, and coaching session becomes a data point. Atlas aggregates it into a brand-health view your GTM team can query in plain language.
Ask anything. Agents act on the answer — within your guardrails.
Each surface runs on the same brand model, so what it learns in one place sharpens what it does in the others.
Engages shoppers directly on the screen they were already looking at — and alerts the nearest rep with the right talking point the moment intent turns into a question.

Roleplays tuned to your SKUs and competitors. Scores every rep, surfaces the gaps that cost you deals, and auto-queues a module the moment one shows up.
Sarah K.
Devon K.
Emma L.
Triggered after 3 reps missed objection in this week’s sessions.


JA+3Every store visit becomes structured, actionable intelligence. A voice note or a photo turns into a record. The right owner gets pinged. Atlas gets a clean signal — compliance, demo quality, pricing.
“Display on Bay 03 is dark. Demo unit’s pulling Q3 catalog pricing.”
Why BrandContext
CE brand retail today
CE brands spend millions on agencies and fragmented vendors that don’t talk to each other — and still can’t see what’s happening on the floor until it’s too late.
With BrandContext
Strategy actually reaches the floor — and the floor reaches HQ in real time.
How it works
We ingest your product catalog, playbooks, competitive intel, and historical data. Your brand AI model is trained once and shared across all surfaces.
Showroom goes live on displays. Coach deploys to reps' phones. Field CoPilot goes to your field team. A 3-month pilot with 8–10 doors takes weeks, not quarters.
Every shopper conversation, field visit, and coaching session becomes a data point. Atlas aggregates it into a live brand-health view your GTM team can query in plain language.
Agents draft follow-ups, brief field leads, flag issues for exec review — all within the guardrails you set. HQ stays in control. The floor stays informed.
What makes us different
Most field-AI vendors optimize for a single operation and have never built for HQ. BrandContext was built by people who ran global retail programs at scale — and saw firsthand how strategy evaporates between HQ and the shelf.