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DigiDaaS — Capacity Engineering

Capacity Engineering™ — we build the operating systems that help teams scale with confidence.

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Case studies

Proof, not promises

Real client outcomes — the challenge, what we built, and the measurable results.

AllLegalBankingHealthcareTechnology
Featured
>98%Detection Accuracy

From Stalled to Standard-Setting: Building the World's First Commercially Viable Drug Impairment Detection Platform for Gaize

Gaize had the science to detect drug impairment in real time but not the working technology — a prior contractor engagement left them without a functioning detection pipeline. We ran an extensive data-science program to extract reliable impairment signals from their high-frequency eye-tracking data,

Gaize, Inc·
Technology
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180%Increase in output per square foot

Breaking the Capacity Ceiling: Fully Automating Infrared Camera Assembly and Calibration for FLIR Systems

FLIR Systems had run out of room to grow — literally. Their infrared sensor manufacturing and calibration lines were constrained by factory floor space and by the throughput and quality limits of manual labor. We led the project to fully automate their infrared camera assembly and calibration. The r

FLIR Systems·
Technology

Find your constraint. Get capacity back.

Book a 30-minute assessment—we'll map the bottleneck and the fastest path past it. No slide decks, no obligation.

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48% / 23%paralegal capacity / attorney capacity - Phase 1

From Chaos to a Clear Path: An AI Enablement Roadmap for a Montana Plaintiffs Law Firm

A Montana plaintiffs law firm was functioning but far from optimally — buried in busy work, stressed, and operating as individuals rather than a coordinated team. They knew AI could help but were barely using it. We conducted in-depth interviews, data collection, and analysis, then delivered a 55-pa

A Montana plaintiffs law firm·
Legal
23%Developer capacity

Engineering a Way Out of Manual Bottlenecks: A Validated Efficiency Blueprint for VISIE

VISIE's engineering team was swamped — their engineering and quality-control processes were almost entirely manual, capping how much the team could ship. We analyzed their ecosystem and requirements and delivered a thorough, mathematically derived and validated proposal and design to streamline both

VISIE, Inc·
Technology