Democritus Labs provides a lightweight semantic layer over your existing ERP, CRM, and operational systems—delivering auditable, explainable analytics without ripping and replacing your stack.
Healthcare analytics has matured — but decision-making has not. Most organizations already have clean data, modern warehouses, and dashboards that report what happened. The real gap shows up when leaders ask the questions that actually matter: why an outcome happened, what alternatives existed, and what would change if a different action was taken.
The next leap forward is not more data, faster queries, or prettier dashboards. It is the ability to reason about decisions.
Decisions aren’t made on isolated metrics. They’re made in situations shaped by clinical context, operational constraints, timing, and uncertainty. Reasoning about situations is how data starts to match real clinical and operational reality.
Risk is rarely binary. Instead of fixed thresholds and static scores, organizations need risk assessments that express confidence and update as evidence changes — the practical advantage of Bayesian risk estimation.
Reporting outcomes is not the same as improving them. Decision intelligence evaluates actions: what options were available, what was chosen, and how different choices would have changed results.
Under leadership review, audit, or regulatory scrutiny, charts aren’t enough. Organizations need clear, traceable explanations: why a decision was made, what assumptions were considered, what alternatives were evaluated, and how uncertainty was handled.
Together, these turn analytics into a system for responsible, defensible decision-making — and set the foundation for everything we offer below.
Audit-ready decision intelligence on top of your existing systems. Democritus Labs sits above ERP, CRM, clinical, claims, finance, and operational data to produce analytics that can be explained, defended, and trusted — without rebuilding or replacing your stack.
Instead of fragmented metrics and opaque dashboards, the platform establishes a shared meaning layer and generates analytics with explicit logic, assumptions, and lineage.
A single source of truth for decisions — not just numbers.
Align on decisions, KPIs, data sources, and review or audit constraints.
Lock metric logic, semantic mappings, and lineage so outputs remain consistent and defensible over time.
Ship dashboards, evidence packs, and lightweight monitoring for change and drift.
Soft layer. Zero rip-and-replace. Integrates with systems of record without disrupting core workflows.
Auditability is native. Every output includes definition, assumptions, lineage, and historical changes — so answers are ready when numbers are questioned.
Automate KPI refresh, anomaly detection, change monitoring, and insight narratives — reducing manual reporting while improving consistency and trust.
Most analytics platforms answer what changed. Democritus Labs answers why it changed — and whether the decision still holds up.
Collect, validate, and baseline trust before you analyze. If this layer is weak, everything above becomes untrustworthy.
Click a layer to see what happens inside.
Provider-focused: EHR, claims, finance, quality, operations
We don’t “duplicate analytics.” We convert each source into governed meaning, risk with confidence, and decision-ready outputs — with lineage you can defend.
SQL excels at querying tables. Healthcare leaders need systems that can explain meaning, quantify uncertainty, evaluate actions, and stay defensible under review.
Great for reporting. Fragile for decision accountability.
Built for meaning, risk, action, and defensibility.
Keep SQL for what it does best. Add a decision intelligence layer to make analytics consistent, explainable, uncertainty-aware, and defensible under leadership review and audit.