Soficca
Clinical Decision Infrastructure

Building the decision layer for healthcare

Soficca turns messy clinical narratives into structured signals, governed routes, and audit-ready reports, using AI for signal extraction and deterministic rules for clinical routing.

The Cardio Pilot is live. The infrastructure is real.

Live Infrastructure

Live Pilot

AI signal extraction with governed clinical routing

Four sequential layers transform raw cardiology narrative into a validated decision report. Each annotation marks where that layer's output lands.

Raw NoteChest Pain Detected[chest_pain_present: true]Loss of Consciousness[syncope: true]Radiating Pain[pain_radiation: "left_arm"]Attempting Standard ProtocolRULE_ROUTINE_STABLE_COMPLETE_V1Assigned: Routine Queuepreliminary_route: "PATH_ROUTINE"[overridden by safety layer]CRITICAL RISK DETECTEDSyncope + Chest Pain = High Risktriggers: ["POLICY_SYNCOPAL_CHEST_PAIN_V1"]Override Escalation Activeaction: OVERRIDE_ESCALATEEMERGENCY ESCALATIONLOCKEDfinal_route: "PATH_EMERGENCY_NOW"decision.status: "ESCALATED"GATE 1: AI SIGNAL EXTRACTIONGATE 2: DETERMINISTIC GOVERNANCEGATE 3: SAFETY OVERRIDEGATE 4: RESOLUTION

From Fragmented Care

Toward governed clinical decisions

The challenge is not a single clinical decision. It is the repeated failure of what happens next. Across intake, routing, medication, and follow-up, next-step decisions still live in fragmented workflows, disconnected tools, and manual judgment.

Soficca exists to structure those recurring decisions into governed, traceable logic that can be reused across care workflows.

Governance · Traceability · Continuity · Reuse

01

Safer decisions

Structured logic helps reduce avoidable variation in high-stakes next-step decisions.

02

Longitudinal decision context

Each follow-up adds context that improves the next review, route, or action.

03

Traceable logic

Every governed output can remain legible, reviewable, and consistent over time.

04

Reusable across workflows

The same decision layer can support repeated care logic across multiple environments.

How Soficca Works

From inputs to governed decisions

AI structures the signals. Governed logic determines the next step.

Soficca is designed to turn structured inputs into governed next-step decisions. Patient signals, safety rules, workflow logic, and follow-up data are evaluated together so each output is actionable, traceable, and consistent over time.

AIstructures the
raw signal.

Then governed, deterministically:

Governed logic

Rules, routing criteria, and safety conditions evaluate what should happen next.

Traceable output

Each decision is produced as a legible next-step output with clear logic behind it.

Longitudinal context

Follow-up data carries forward so future reviews and actions improve over time.

Our Roadmap

Current → Next → Later

Live Now

Live Pilot Infrastructure

Real clinical workflows running on governed logic. Cardiology routing, golden-case validation, and traceable outputs: live in production today.

View Cardio Pilot →

Building

Controlled Physician Review

Structured review workflows where physicians validate AI-structured outputs before they enter the decision layer.

Expansion

Workflow Expansion

Beyond cardiology: applying the same governed infrastructure to additional clinical specialties and decision contexts.

Execution

Built beyond concept

Soficca is not a static concept. It is a working system with live infrastructure, validated clinical workflows, and governed logic in production today.

Exhibit 00: External Validation[✓ VERIFIED]

Carlos Pérez

Clinical Audit & Regulatory Advisor

Physician with regulatory and clinical audit expertise advising on Soficca's governance layer, decision traceability, and compliance alignment for clinical deployment.

EXHIBIT 01: TECHNICAL PILOT[✓ VERIFIED]

Cardio Pilot

Live clinical routing for cardiology workflows. 12 golden cases validated, governed decision routes active, traceable outputs in production.

EXHIBIT 02: CORE ENGINE[ACTIVE]

Soficca Core Engine

The governed decision layer that evaluates structured inputs against safety rules, routing criteria, and workflow logic to produce traceable next-step outputs.

EXHIBIT 03: MARKET WORKFLOW[LIVE]

Pen Workflow

End-to-end workflow integration built on top of the core engine. Structured data entry, governed processing, and auditable output delivery.

EXHIBIT 04: REVIEW LAYER[DOCUMENTED]

Reviewer Layer

Controlled physician review workflows where clinicians validate AI-structured outputs before they enter the governed decision layer.

First Product Workflow

Pen is the first market-facing workflow powered by Soficca.

Pen is the first product surface built on Soficca. It turns clinical intake into governed next-step decisions: structured, traceable, and reusable across every future review.

Building Pen made the infrastructure visible. Every decision route, safety condition, and follow-up trigger that Soficca governs was shaped by the demands of a real clinical workflow running in production.

Pen inherits structured decision history, compounding safety logic, longitudinal decision context, and a reusable decision layer directly from Soficca's engine. Nothing here was built specifically for Pen.

Explore Pen →
ORAL FINASTERIDE · 1MG
TOPICAL MINOXIDIL · 5%
PREFERENCE · ORAL
FOLLOW-UP · 90 DAYS
ROUTE → ORAL MONOTHERAPY

Why This Layer Matters

The cost of fragmented decisions is already enormous.

Cost → Continuity → Decision Layer

Fragmented decisions still carry real system cost. Avoidable errors compound across every handoff that lacks a governed, traceable decision layer.

US$42B¹

Estimated annual global cost associated with medication errors.

24%²

Share of patients with chronic conditions reporting they have a care plan available to them.

¹WHO: Estimated annual global cost associated with medication errors, global.

²OECD PaRIS: Share of chronic-condition patients reporting availability of a coordinated care plan.