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Case studies

Problem, approach, and result — summarized for discussion.

  • From Scattered Data to a Live Decision Layer

    How we built an operational intelligence layer aggregating 7 data sources and converting signals into decision-ready outputs — reducing incident resolution time by 42%.

    Problem
    The client operated a 200+ vehicle fleet across 14 warehouses with 7 different operational systems that didn't communicate with each other.…
    Build
    We chose a "Decision Layer First" approach — starting from the question: what decision must a manager make in three hours? Then we worked ba…
    Outcome
    Within 14 weeks: a unified decision dashboard, ~42% faster incident resolution in the pilot environment, and the ability to predict delays b…
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  • Security That Assumes Nothing — Zero-Trust for Critical Control Systems

    How we designed a security architecture that verifies every request — never assumes the internal network is safe — reducing false positives by 68% while maintaining 0 critical incidents.

    Problem
    The client's industrial control systems (SCADA) were operating with security designed 15 years ago — when the assumption was "inside the net…
    Build
    We started with comprehensive Threat Modeling — not by installing tools, but by understanding: what is the attacker trying to reach, and wha…
    Outcome
    After 12 weeks: ~68% reduction in false-positive critical alerts, sub-4-minute detection for genuine threats, and a SOC training program tha…
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  • From Pilot to Production: Engineering SaaS Built for Real Scale

    How we re-architected an enterprise platform that scaled from 3 to 40+ clients in 6 months — reducing p95 latency by 60% and enabling a 12 deployments/month release cadence.

    Problem
    The platform worked acceptably with 3 pilot clients. But when the team tried to scale it to 40+ institutions, the real problems emerged:
    Build
    We started with an honest "Architecture Audit" — not selling the team a solution before understanding the root cause. In the first two weeks…
    Outcome
    In 6 months: scaled from 3 to 40+ institutions on one platform, ~60% lower p95 latency, and 12 production deployments per month without down…
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