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Open Source · HIPAA · GDPR · SOC2

Medical AI Infrastructure.
Built for the Real World.

We design and build cloud-native AI platforms for healthcare — compliant, open-source first, and always shipping.

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aizech on GitHub · Live Demo
35+ Years Experience
7 Products Shipped
5.6M+ Lines of Code
26 Clinical Skills
29 Integrations
100% Open Source
HIPAA Compliant
GDPR Compliant
SOC 2 Type II
Multi-Agent AI Ready
Built with
Python Streamlit Agno OpenAI LanceDB Auth0 Stripe Babylon.js Astro Docker
Products & Solutions

Built to solve real clinical problems

From 3D pain mapping to multi-agent AI orchestration — each product solves a specific gap in digital healthcare.

Corpus Core SaaS screenshot

Corpus Core SaaS

Live

Launch your Streamlit app as a real product in days, not months.

  • → Auth0 OAuth 2.0 (Google, Microsoft, GitHub)
  • → Stripe subscriptions with free trial
  • → English + German i18n (extensible)
Python Streamlit Auth0 Stripe
GitHub View Details → Open App →
PainTracker screenshot

PainTracker

Live

Patients show exactly where it hurts — on a real 3D body.

  • → 3D male/female body models via Babylon.js
  • → Adjustable markers with descriptions
  • → Multi-touch smartphone support
PHP JavaScript Babylon.js WordPress
GitHub View Details →
Skills

Clinical AI capabilities

Specialized skills for AI-powered radiology workflows — from modality detection to structured reporting.

Modality Detection

Auto-detect imaging modality from input or files. Supports X-ray, CT, MRI, Ultrasound, and more.

core

Radiology Context

Establish user's clinical environment, preferences, and workflow context for personalized assistance.

core

PACS Workflow

Query PACS servers and retrieve studies. Supports DICOM C-FIND, C-MOVE operations.

platform-integration

PubMed Search

Evidence-based literature search via PubMed/MEDLINE API. Find relevant medical research.

platform-integration

DICOM Web Query

REST queries to DICOMweb servers. QIDO-RS and WADO-RS support for cloud PACS.

platform-integration

Radiology Report Analysis

Analyze structured and free-text radiology reports. Extract findings, impressions, and recommendations.

clinical-documentation
View all 26 skills →
Tools

Command-line utilities

Essential CLI tools for DICOM handling, image quality, and radiology workflow automation.

DICOM QIDO

QIDO-RS search - Query DICOMweb servers for studies, series, and instances using RESTful API.

DICOM WADO

WADO-RS retrieve - Retrieve DICOM objects from DICOMweb servers via RESTful API.

Fetch Study

Full study download from PACS. Download complete studies with all series and instances.

DICOM Anonymizer

PHI removal from DICOM files. Strip patient identifiers while preserving clinical data.

View all 12 tools →
Integrations

Ecosystem compatibility

Seamless integration with PACS servers, EHR systems, AI platforms, and healthcare standards.

Orthanc

Open source PACS server. Lightweight, RESTful DICOM server for healthcare facilities.

pacs

OHIF Viewer

OHIF zero-footprint web viewer. Modern, responsive DICOM viewer for web browsers.

pacs

dcm4chee

Enterprise PACS built on WildFly/JBoss. Full-featured DICOM archive and workflow engine.

pacs

Epic Radiant

Epic Radiology module. Integrated radiology workflow within Epic EHR ecosystem.

ehr

Aidoc

AI triage and detection platform. Real-time AI analysis for stroke, pulmonary embolism, and more.

ai-platforms

Zebra Medical Vision

Multi-findings AI detection. Automated analysis for chest X-ray, mammography, and CT.

ai-platforms
View all 29 integrations →
About

Building AI that understands medicine.

Corpus Analytica was founded by Bernhard Zechmann — Systems Architect and Digital Transformation Strategist with 35+ years building web, cloud, and AI systems. Based in Nagold, Germany.

We build at the intersection of AI and healthcare impact. From 3D pain mapping plugins to multi-agent AI orchestration frameworks, our work spans the full stack of Digital Health — always open, always compliant, always shipping.

Our clinical AI skills, tools, and integrations enable AI agents to work alongside radiologists, clinicians, and healthcare IT teams — with full HIPAA, GDPR, and SOC2 compliance.

72202 Nagold, Germany
watunga.ai ↗ — enterprise AI agents
bernhard Zechmann ↗ — personal site
35+ Years coding experience
5.6M+ Lines of code written
26 Clinical AI skills
29 Platform integrations
How We Work

From problem to production

01

Understand

Deep dive into your clinical or technical problem

02

Design

Architecture + workflow design before a line of code

03

Build

Rapid, modular delivery with open standards

04

Secure & Deploy

HIPAA/GDPR compliance, cloud deployment, monitoring

Timeline

Built in public, shipped consistently

2018

Deep learning & AI/ML integration

2022

Concept born with two radiologists — second opinion platform idea

2022

First version of Second Opinion platform goes live

2023

Full platform rebuild: new framework, new architecture

2024

Corpus Analytica officially launches as Digital Health Platform

2024

PainTracker plugin released — Babylon.js 3D body models

2025

Corpus Analyzer: agent-driven medical image analysis

2025

HALO Core: multi-agent intelligence workspace launched

2025

Corpus Core SaaS: production framework with Auth0 + Stripe

2026

AI Clinical Skills: 26 radiology AI skills for agent platforms

2026

AI Tools: 12 CLI utilities for DICOM & radiology workflows

2026

AI Integrations: 29 PACS, EHR & AI platform integrations

2026

Gods in White: multi-agent medical AI platform — coming soon

2026 →

Next chapter...

Get in Touch

Ready to build something that matters?

Available for consulting, collaboration, and product partnerships.