Data & AI Services
End-to-end data consulting services with full-stack delivery—from tool development and systems setup to data quality and decision-ready dashboards
What We Do
Turning health data into decisions
We design, build, and operate AI-enhanced data systems that turn routine health information into real-time, explainable decisions. Every engagement ships with a safe, governed AI layer embedded directly into workflows, pipelines, and dashboards.
Who We Serve
Hospitals & clinics
Health programs NGOs
Ministries & councils
Research consortia
Donors & implementing partners
Service areas
Digital health tool development
EMR modules, registries, eCRFs/ePROs, telemedicine, mobile data apps with built-in LLM copilots for forms, summarization, and coding, edge/online inference for low connectivity
Data strategy & architecture
Domain models, data dictionaries/MDM, RAG-ready knowledge graphs & vector stores, FHIR mapping, API design
Database development for research & registries
Schema design, REDCap/ODK/OpenClinica setup, CRF standards, audit trails, RBAC; AI-assisted deduplication/record linkage; optional OMOP/FHIR alignment
Systems setup & deployment
DHIS2/OpenMRS configuration, on-prem/cloud/hybrid, resilient offline sync, SSO/Keycloak; GPU/CPU-aware deployments for model serving
Data engineering & pipelines
ETL/ELT, streaming/batch, lakes/warehouses, metadata & lineage; feature stores, model registries, and automated retraining hooks
Data quality management (DQM)
Validation rules, deduplication, ML-based anomaly detection, DQA audits, issue workflows.
Analytics & BI models
KPI frameworks, metrics catalog, star-schema marts, drill-down dashboards (facility → sub-national → national), automated reporting; natural-language Q&A over dashboards
Data science & AI/ML services
Risk prediction, forecasting, geospatial models, NLP/LLMs for forms/notes, safety & quality surveillance; full MLOps lifecycle (experiment tracking, monitoring, drift/rollback)
Clinical-trial data analysis & stat programming
Analysis datasets, interim/final analyses, TLFs, reproducible R/Python pipelines, signal detection with NLP/ML, CDISC SDTM/ADaM on request
Observability & reliability
Telemetry, alerting, SLOs/SLAs, runbooks, incident response—including model performance monitoring
Governance, privacy & compliance
RBAC, encryption, consent, retention, audit logging, DPIAs; Responsible AI guardrails (bias checks, explainability, approvals)
Handover & sustainability
Admin playbooks, architecture docs, and maintained pipelines/models for local teams