It Goes Beyond Descriptive BI
Traditional BI is mostly about reporting. Microset adds actual research capabilities, interpretation and context to help you make truly informed decisions
An AI agent to help organizations close the gap
between having data and knowing what to do with them
Why Microset
See
Analyze
Predict
Talk
Research
Traditional BI is mostly about reporting. Microset adds actual research capabilities, interpretation and context to help you make truly informed decisions
Many BI products provide a conversational interface. Microset goes beyond that, adding statistical and machine‑learning models as part of the core product
Today, getting an AI to spit out an answer is easy. The difficult part is to trust the answer and control what happens next. Microset has been built to fill that gap
From business intelligence to intelligent business decisions
Microset investigates like an actual data scientist would. Gathering evidence, proposing hypotheses, and building digital twins of your organization to stress‑test any decision before deploying it
Microset works with approved data sources and stays within your organization's business rules. Its findings are grounded in explainable evidence, with all decisions subject to human review and approval
Microset: one governed environment
Approved Data Sources
Approved Business Rules
LLM
Interact in natural language
User
Ask
Dashboard
See
Analytics
Analyze
ML Models
Predict
Agent
Act
Alerts
Forecasts
Context
Recommended Actions
Integration and exports
Microset does not need to be the user interface. Your existing BI tools can stay at the front end, and Microset supplies the insights behind them
Microset outputs can be accessed via configurable APIs, through an agent that any application can call, or as exportable models any team can inspect and take with them
Microset results become reusable analyses, allowing other teams to build on them
Microset has been designed to adapt to your organization, whether in supply‑chain management, financing, workforce support or healthcare delivery
Governance
Deployable as a docker container on a virtual machine
Source code available upon agreement
You choose the LLM provider
You retain full control over your data
You retain the final word about every decision
Your agentic data scientist for operational decision‑making
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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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