Treat every customer like you know them.
Unified customer profiles, personalization engines and agentic CX built on your data.
- 48–72 HOURS
- TOP 3% ENGINEERS
- 100% REPLACEMENT
What we build.
Unified customer profile across web, app, support and sales
one record per customer, built from your systems, with clear rules on what is stored and why.
Personalization
recommendations, content and offers, driven by behaviour and context, with sensible fallbacks for new visitors.
Experimentation and measurement
controlled tests, holdout groups and reporting that separates real lift from noise.
AI agents for support and guided selling
assistants that answer from your data, take defined actions and hand over to people when needed.
Consent and privacy management
capture, store and honour customer preferences across every channel.
How we work.
We start with one customer moment where better knowledge would clearly help: a homepage, a renewal email, a support flow. We map the data you have, fix identity and event quality, and build the smallest version that can be tested. Every feature is released behind an experiment with a control group, so you can see what it did. We add channels and models in steps, with privacy review at each one, and hand over dashboards and documentation so your team can run it.
Who this is for.
E-commerce and retail teams with a generic site experience and growing traffic.
B2B service companies whose customer records are split across CRM, support and billing.
Product and CX leads asked to "use AI" for support without a clear, safe plan.
Marketing teams running campaigns on segments built by hand in spreadsheets.
Businesses facing a customer-data clean-up before any personalization can work.
What you get.
A customer data model and profile store, connected to your main systems.
Identity resolution rules, with a report on matches and unresolved records.
A tracking plan for events, with quality checks.
One or more working personalization or agent features, in production.
An experimentation set-up: test design, sample-size guidance and a results dashboard.
A consent and preference layer connected to your channels.
Runbooks, documentation and training for your team.
- Top 3% of applicants
- Start in 48–72 hours
- Dedicated account manager
- 100% replacement guarantee
Typical timeline.
The exact length depends on how clean your data is. Most delays come from data access and approvals, not code.
- 01
Weeks 1 to 2
discovery, data audit, choosing the first use case, consent and privacy review.
- 02
Weeks 2 to 6
event tracking, identity resolution and profile store.
- 03
Weeks 6 to 9
first model or agent, integration, test design.
- 04
Weeks 9 to 13
controlled experiment, review of results, adjustments.
- 05
After that
extend to further channels, in steps.
Proof
150+ developers deployed, and about 3% of applicants pass our 4-gate vetting. Your engineer can be in your standup in 72 hours, and our replacement guarantee is 100%.
Not always. Some clients already have one. Others need only a lighter profile store. We assess what you have before recommending anything new.
Related work and reading.
LET'S TALK. Start now.
Tell us what you're building. We'll come back with a plan and matched, pre-vetted engineers.
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