Intelligence That Adapts as Behavior Changes
Unlike static dashboards or disconnected pipelines, <kenkai> continuously incorporates new data and adapts its predictions as circumstances evolve
A real‑time adaptive platform for organizations of all sizes and industries
Why <kenkai>
Unlike static dashboards or disconnected pipelines, <kenkai> continuously incorporates new data and adapts its predictions as circumstances evolve
<kenkai> brings data ingestion, feature engineering, machine learning and adaptive interventions into one single platform you can personalize in days, not months
<kenkai> embeds explainability and governance into the workflow, helping teams communicate decisions to their users and partners and maintain organizational trust
From raw data to adaptive decisions
<kenkai> transforms raw events into relevant traits and metrics, building a solid understanding of individuals, groups, and their behaviors
<kenkai>’s machine‑learning models can anticipate the outcomes of different actions. Understand what may happen next, and what is most likely to happen if you intervene
Deploy personalized interventions to optimize any actions, and learn from observed outcomes
Continuous Learning
Learn from outcomes and improve over time
Ingest Data
Bring together events and dimensions
Create Signals
Transform raw data into meaningful traits
Analyze & Predict
Explore data, find patterns and forecast outcomes
Decide & Act
Deploy personalized interventions
Measure Impact
Track results and measure outcomes
Universal, ultra‑fast and bandit‑powered
Bring all your events and dimensions into one clean, universal model. No messy schemas, just structured data ready to use across domains. Easily extensible to your industry’s data sources
Transform raw data into meaningful features with SQL. Create static or dynamic traits at subject or cohort level and power models, dashboards, and personalized interventions
Explore and compare traits and metrics instantly with ClickHouse‑powered queries. Build shareable dashboards for cohorts, subjects, and trends without waiting on pipelines
Define, train, and run machine‑learning models with declarative workflows. Train and run inference jobs without extra glue code
Deploy bandit‑powered strategies and deliver interventions that adapt in real time. Personalize actions per cohort or user with flexible decision logic
Trust at every stage
From the metrics used to understand behavior to the models and policies that determine what happens next, organizations retain visibility and control over their data and how intelligence is generated and applied
Only non‑PII data
Strict data privacy. No third parties
Explainable predictions and decisions
Controlled interventions
Start defining signals, not schemas
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We are proud to share that Causal Foundry’s Kenkai is the AI platform supporting Kenya’s Ministry of Health in the eCHIS–Kenkai AI Integration Pilot, alongside Afya Reach and the Council of Governors. Across eight counties, we are bringing adaptive AI into eCHIS to help more than 20,000 Community Health Promoters identify household health risks earlier, prioritize follow‑up and strengthen referrals, with no new app to learn. The 18‑month pilot will generate evidence to inform responsible national scale‑up
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We’re proud to work alongside Hystra and Sanofi’s Global Health Unit to support PillTech’s inventory management in Cambodia. Combining PillTech’s local and operational expertise, Hystra’s experience in inclusive business, Sanofi GHU’s commitment to impact‑driven supply chain innovators in LMICs, and Causal Foundry’s forecasting and ML capabilities, we’re developing a procurement recommendation system covering demand forecasting, abnormal event detection, and lead time prediction, helping reduce stock‑outs and strengthen access to medicines for the communities PillTech serves
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Proud to share that Causal Foundry is joining CARE‑AFRICA, a consortium led by King's College London, to develop an AI tool that helps frontline health workers identify the most likely cause of diarrhoeal disease in children and guide more appropriate treatments, supporting better outcomes and reducing unnecessary antibiotic use. The project brings together partners across the UK, Uganda, Ethiopia, Italy, Spain, and South Africa, and is supported by the EU Global Health EDCTP3 (total project funding: €4.8m)
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We are excited to share that Causal Foundry is partnering with the Ministry of Health, Kenya to integrate Artificial Intelligence into community health systems, strengthening data use, decision‑making, and service delivery at the primary care level. Our VP of Public Sector Partnerships, Eric Angula, recently met with Principal Secretary Mary Muthoni, CBS, HSC. to align on our shared roadmap: using responsible, people‑centered AI to reinforce health systems and accelerate Universal Health Coverage (UHC)
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We're proud to announce a new Strategic Partnership between Causal Foundry and Medic, launched alongside a working group aimed at establishing an active forum to advise the Division of Health Informatics and the Kenyan Ministry of Health on a framework policy for deploying AI in healthcare. Together, we will integrate AI‑powered personalized recommendations, risk assessments, and decision‑making support into Medic's open‑source digital tools, enhancing the work of CHWs on the frontlines
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We are proud to announce a new partnership between Causal Foundry and Toyota Tsusho Corporation to strengthen last‑mile healthcare logistics. Through this collaboration, formalized with a recently signed MoU, we will combine AI‑driven analytics and reinforcement learning with Toyota's trusted mobility solutions. This partnership represents a significant step forward in building resilient, efficient, and equitable supply chains—ensuring life‑saving resources reach the most remote communities while strengthening sustainability in healthcare logistics
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