Send decisioning
Per-user model decides whether a notification is worth sending - cuts noise, lifts open rate.
Personalized push, frequency-capped and quiet-hour aware.
Decides when, what, and whether to send each push - tuned to user behavior, lifecycle stage, and quiet hours.
Per-user model decides whether a notification is worth sending - cuts noise, lifts open rate.
Push, in-app, email, SMS - chosen per message and per user, not per campaign.
Local-time aware quiet hours and frequency caps that never burn the user.
Every solution comes with a calibrated eval suite, runbooks, and integration guides - so your team can take ownership from day one. Self-hosted, hybrid, or fully managed.
Align on data, integrations, and policy. Calibrate the eval golden set.
Wire integrations, configure tools, and stand up the runtime in your cloud.
Shadow on live traffic, ramp on evals, and ship to production with rollback.
We integrate. The agent decisions ride on top of your existing audiences and templates.
In 60 minutes with a senior engineer, you walk away with the gaps mapped, the agent worth building first, a risk read on what your team has already shipped, and a reference architecture - at zero cost, no obligation.
Where the work breaks down today and which gap an agent should close first - calibrated to your business.
Where engineering and ops hours actually go - and where forward-deployed delivery takes you next.
An honest view of what your team has already vibe-coded and what it needs to survive production.
Reference architecture for your runtime, evals, RAG, and integrations - vendor-agnostic.
Reserve a 60-minute working session with a senior AI engineer and practice lead.