Live-ops intelligence
Offer targeting, event cadence modeling, economy tuning. Alexandria agents plugged into your live-ops data pipeline.
Vertical
AI for gaming studios
Home turf · where we came from
Gaming is the industry we left to start this firm, and the industry we still run our most ambitious engagements in. The reason the firm exists is that the operational discipline required to run a live-ops hit maps almost perfectly onto the operational discipline that enterprise AI requires. Gaming studios already have this discipline. The question is what to point it at.
Our founder has led products at PopCap (EA), NaturalMotion (Zynga) and Wooga (Playtika), including Plants vs. Zombies 2, CSR Racing and June's Journey. Across his career, the products he has shipped have earned more than $4 billion in lifetime revenue. The Berlin studio work at Ten Square Games is a separate 0-to-1 studio build. We don't need to be explained how a live-ops build meeting runs.
For gaming studios, AI engagements split into four familiar shapes. Live-ops intelligence: cohort modeling, offer personalization, event balancing, economy tuning. Content generation: asset pipelines, localization, narrative iteration where editorial standards matter. Player analytics: churn prediction, LTV cohorts, whale detection that survives anti-pattern scrutiny. UA and creative intelligence: ad creative iteration at the rate UA teams actually need it.
Where we help
Four workstreams we see repeatedly
Content pipelines
Asset generation, localization, narrative iteration. Editorial standards on what the AI ships versus what needs a human pass.
Player analytics
Churn, LTV, segmentation models. Honest reporting on what the models are actually attributable for.
UA + creative
Ad creative iteration, creative fatigue modeling, paid-channel decisioning. Built for UA teams that measure in hours, not quarters.
Fit
When our team is the right call
- Live-service mobile, PC or web games with meaningful DAU and transaction volume
- Studios that want AI that respects their live-ops discipline, not overrides it
- Publishers consolidating AI across a portfolio and needing a defensible platform decision
- Studios exploring interactive narrative or generative systems where editorial judgment matters
If your profile doesn't match any of these, the first call will be short and honest.
Where to start
Engagements that fit here
Product & Growth Audit
Retention, liveops and monetization for a live title. Four weeks, build-ready specs, a 90-day roadmap.
AI Transformation Program
Agent teams shipped into your production pipeline and run with you after go-live.
Outcome-Based Build
When the target is ARPDAU, retention or LTV and your measurement is clean, we'll take the fee out of the uplift.
Next step
A 30-minute call with a founder
You'll be talking to someone who has sat in your live-ops build meeting. Bring the KPI that's stuck.