Case Studies

Proof from AI, data, healthcare, and knowledge systems

Public examples of work that started with architecture, used AI to speed up implementation, handled sensitive data carefully, and relied on thorough product documentation.

These case studies show what can be shared safely: the product context, the architecture direction, the delivery approach, the scale of the system, and what the project demonstrates.

More detailed technical discussions are possible during discovery when relevant.

  1. Case 01Health-tech platform
    TodaiHealth
    TodaiHealth — architecture sheet
    asset · v1Case 01

    TodaiHealth

    Architecture-led health-tech delivery for a peer-to-peer platform that supports people living with diabetes.

    What it demonstrates

    This project shows careful healthcare-oriented architecture, detailed documentation, contract-first planning, a microservice split, and faster AI-assisted implementation after a thorough specification phase.

    Related services
    • MVP Sprint
    • Architecture & Delivery Sprint
    • AI-Assisted Product Development
  2. Case 02AI speech analytics platform
    Echo Speech Analytics
    Echo Speech Analytics — architecture sheet
    asset · v1Case 02

    Echo Speech Analytics

    AI platform built for real customer call analysis, with telephony, transcription, LLM-based analysis, CRM data, and reporting workflows.

    What it demonstrates

    This project demonstrates AI system design for real use: asynchronous processing, speech analytics pipelines, CRM integration, reporting workflows, and a path toward a SaaS architecture.

    Related services
    • AI Agents & Workflow Automation
    • Data Engineering & Analytics
    • Architecture & Delivery Sprint
  3. Case 03Privacy-first AI voice platform
    AIspeaky
    AIspeaky — architecture sheet
    asset · v1Case 03

    AIspeaky

    Cross-platform AI voice platform with local speech processing, provider-independent AI/STT/TTS integrations, and a relay architecture designed to protect sensitive data.

    What it demonstrates

    Designed for sensitive AI voice work: private data handling, easy switching between providers, secure relay services, a split desktop/cloud setup, and clear API contracts for how systems connect.

    Related services
    • Healthcare & Compliance-Aware Systems
    • AI Agents & Workflow Automation
    • Architecture & Delivery Sprint
  4. Case 04Knowledge management and AI-assisted documentation
    BrainNet / Second Brain
    BrainNet / Second Brain — architecture sheet
    asset · v1Case 04

    BrainNet / Second Brain

    Knowledge management and an AI-assisted documentation system for turning scattered project knowledge into structured, searchable, reusable context.

    What it demonstrates

    Built around usable company knowledge: shared structure, writing rules people can follow, AI-supported work, content prepared for retrieval, and internal tools that save time.

    Related services
    • AI Agents & Workflow Automation
    • Data Engineering & Analytics
    • Architecture & Delivery Sprint
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