Case Studies

Real work.
Real results.

Four live deployments — a network-wide WMS, hands-free AI sorting on Meta Ray-Ban smart glasses, AI-native software engineering, and a 181-employee nonprofit that proved the Seed Method™ in week one. Request the full case study for any of them below.

An AI-native warehouse management system, built around how your operation actually runs — not the other way around.

Custom WMS for multi-location SMBs, deployed across 22+ sites in one unified system. See how it’s done before you build anything.

22+ Locations deployed Real-time inventory & asset visibility 1 Unified system, network-wide

A 22+ location retail network was running on manual, location-by-location tracking — no shared visibility, no way to move surplus inventory to where it was actually needed. SmartPath replaced that with one AI-native WMS, network-wide, without disrupting how any single location works day to day.

Sorted hands-free on Meta Ray-Ban smart glasses — every mispriced item is money walking out the door, and most thrift operations have no way to see it happening.

SortIQ runs on Meta Ray-Ban smart glasses with real-time AI vision, giving you pricing consistency and item-level data across your entire sorting cycle — visibility you don’t have today, captured automatically as items move.

94%+ Label & material ID accuracy Meta Ray-Ban Smart Glasses, hands-free Item-level data captured continuously

Sorting staff make split-second pricing calls under volume pressure — and most operations have no way to measure what that’s actually costing them. SortIQ puts AI vision directly on Meta Ray-Ban smart glasses, hands-free, identifying material, brand, and condition in real time so pricing gets consistent and every item is captured as data, not guesswork.

The AI era has made custom software faster and cheaper to build than ever — if you have the right engineering team behind it.

DevClaw is Smart Edge’s AI engineering team: 75%+ faster, 75%+ lower cost, 3 live products already shipped. Built different, from scoping to deployment.

75%+ Less build time vs. traditional dev 75%+ Lower cost vs. traditional dev 3 Live products shipped

Traditional software development burns weeks on sequential handoffs between scoping, design, build, and QA — and by launch, the market’s often moved. DevClaw compresses that cycle with agentic AI infrastructure end-to-end, shipping 3 live products already at roughly 75% less time and cost than a conventional build.

AI transformation fails when it’s built on a screen-share guess. This one was built on real operational data — from a 181-employee nonprofit that proved it in week one.

The Seed Method™ is how Smart Edge implements Claude for Business: a proven, enterprise-grade AI system, deployed with the security and structure a real business needs, discovered through how your team actually works — not how a demo assumes it works. A founding cohort saw a 50%+ productivity gain before the full rollout even began.

50%+ Productivity gain in week one 31 Processes mapped in discovery 7 Employees in founding cohort

A 181-employee nonprofit wanted to go all-in on AI — but their back office was still running on shared drives and manual handoffs. Instead of a full-organization rollout, Smart Edge started with a focused 7-person cohort, deploying Claude for Business through the Seed Method™: a discovery process built on real behavioral data, not screen-share guesses. The result was a 50%+ productivity gain in week one, and a foundation built to scale.