Most tools stop at dashboards or models. <kenkai> connects the full loop,from ingesting raw events, to defining signals, to deploying adaptive interventions, all in one place.
Unlike static BI dashboards or one-off ML pipelines, <kenkai> continuously learns from live behavior. Every trait, metric, and decision adapts as your users do.
Forget months of data engineering before you can act. Our simple schema and trait builder let teams go from raw data to live personalization in days, not quarters.
<kenkai> embeds metric governance and explainability into the workflow, so teams can trust decisions and communicate results confidently to stakeholders.
< universal schema, easy ingestion >
< models that adapt as behavior changes >
< metrics and decisions you can explain >
Bring all your events and dimensions into one clean, universal model, no messy schemas, just structured data ready to use across domains
Transform raw data into meaningful features with SQL, build traits that power models, dashboards, and personalized interventions
Explore and compare metrics instantly, fast queries, flexible dashboards, and deep segmentation without waiting on pipelines
Define, train, and run ML models with recipes, declarative workflows that keep data, traits, and schedules in sync
Deliver interventions that adapt in real time , personalize actions per cohort or user with flexible decision logic
Rwanda’s Social Security Board (RSSB) plays a critical role in financing primary healthcare services. Causal Foundry is supporting the design, rollout and monitoring of a major health financing reform affecting the 1,000+ health centers and health posts in the country.