<kenkai> empowers organizations to act on their data in real time
The key to faster, smarter decisions? A simple, flexible data model.
One platform from data to action
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.
Adaptive by default
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.
Fast path to personalize
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.
Governance without friction
<kenkai> embeds metric governance and explainability into the workflow, so teams can trust decisions and communicate results confidently to stakeholders.
Simplicity by Design
< universal schema, easy ingestion >
Learning in Motion
< models that adapt as behavior changes >
Trust & Governance
< metrics and decisions you can explain >
Explore <kenkai> Adaptive AI Decision Platform
Ingest Anything, Without the Complexity
Bring all your events and dimensions into one clean, universal model, no messy schemas, just structured data ready to use across domains
> Standardize events and dimensions into a clean, flat schema
> Works seamlessly across domains , from commerce to healthcare to gaming
> Extend with adaptors for your industry’s data sources
Define the Signal That Matters
Transform raw data into meaningful features with SQL, build traits that power models, dashboards, and personalized interventions
> Create static or dynamic traits at subject or cohort level
> Apply time-window aggregations with live preview
> Power models, dashboards, and interventions without data-team bottlenecks
Analytics at the Speed of Thought
Explore and compare metrics instantly, fast queries, flexible dashboards, and deep segmentation without waiting on pipelines
> Explore traits and metrics with fast, ClickHouse-powered queries
> Build shareable dashboards for cohorts, subjects, and trends
> Segment cohorts and filter traits instantly for deeper insights
From Traits to Models, Declaratively
Define, train, and run ML models with recipes, declarative workflows that keep data, traits, and schedules in sync
> Define models with recipes that link datasets, traits, and schedules
> Train and run inference jobs without extra glue code
> Version and clone configs for rapid iteration and comparison
Turn Predictions Into Actions That Learn
Deliver interventions that adapt in real time , personalize actions per cohort or user with flexible decision logic
> Decision, cohort, action, and schedule policies in one flexible framework
> Deploy bandit-powered strategies with automated follow-ups
> Design multi-step journeys with triggers and trait-based actions
Supporting Rwanda's Healthcare Reform with RSSB
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.
Dr. Regis Hitimana
Chief Benefits Officer
RSSB
“Partnering with <kenkai> has enabled us to leverage our data to design a more sustainable and efficient healthcare financing model”