Proof
Owners like you, with their hours back.
Real businesses that stopped being the bottleneck — booked jobs, search visibility, and a system they own. Here's what changed, and how.
Keep glass and door jobs moving from quote to payment
South Jersey Glass & Door ran nine job hand-offs on a whiteboard and two spreadsheets. Salesforce quoted $4,000 to implement plus per-seat licensing forever. Five days after the scoping call the company was running on a custom field-service platform built around its own nine stages: an office pipeline that shows where jobs stall, crew scheduling that cannot double-book, a phone-first technician surface and a database-enforced audit trail. It now carries $4.3M of quoted work, at 86% less than the Salesforce route over five years.
Read the storyFind matching parts without digging through catalogs
A distributor wins accounts by answering one question fast: here is the part number I buy from your competitor, what is your equivalent? This client's lookup tool failed three or four times out of ten. We built a Neo4j product knowledge graph holding more than 155,000 products across four catalogs, a search-score-approve workflow where consultants sign off on every match and each decision becomes permanent graph data, hybrid text, vector and image search for parts named for machines, an English-to-graph query layer, and a consultant workspace over Salesforce.
Read the storyPaving plans and field reports without another app
In asphalt paving the most expensive decision of the day is whether the crews roll. For a major South Jersey paving company we built three field tools: a 5:30 AM paving-decision text per job site that reconciles three weather sources, an end-of-day report foremen submit from the truck that feeds a live KPI dashboard, and a daily plant-performance report for the CEO. Nobody in the field installs an app or remembers a password; every field surface is a text message or a signed, single-use link inside one.
Read the storyHelp local shoppers find a window treatment specialist
South Jersey Blinds & Beyond, a window-treatments retailer, needed a site that ranked, financing that converted and lead tooling that worked. We rebuilt on Next.js, integrated Synchrony financing, built custom SEO reporting software and wired up a HighLevel CRM. The organic footprint grew from 21 ranked keywords to 422, and the #1 rankings won in 2024 still hold two years after the engagement ended.
Read the storyBring in more glass and door customers through search
A century-old glass and door company with five South Jersey branches was invisible online for anything but its own name. We rebuilt the site on Next.js, wired up CRM and per-branch call tracking, and ran a sustained SEO and AI-visibility program. Average Google position climbed from 48 to 10, organic traffic more than doubled, ChatGPT now names SJ Glass first for its core services, and every lead has a home. The same company then hired us to replace its whiteboard job tracking with custom field-service software.
Read the storyLet guests find and book their stay directly
Wander Home, a Pocono Mountains short-term-rental operator, had no website and every booking ran through commission-taking platforms. We built its first site, a custom Next.js direct-booking web app integrating Guesty, Stripe and PriceLabs, so guests book direct and the owner keeps the margin. A three-year SEO and lifecycle program then took the site from 2 ranked keywords at launch to more than 1,100, with 131 top-10 rankings at peak and 9,310 first-party organic clicks.
Read the storyMore case studies from other clients are being compiled — check back soon.
The full stories
Client work, in detail
From paperwork to pipeline: 86% less than the Salesforce alternative
A glass and door fabricator skipped the Salesforce quote and got custom field service software for 86% less over five years — nine stages, built in five days.
Spreadsheets to Neo4j: an AI-native graph for 155,000 products
Inside our build for an industrial supply distributor: a 155,000-product Neo4j knowledge graph, human-approved SKU matching, and search from a photo.
AI implementation in the field: a paving company's 5:30 AM call
Inside our build for a major asphalt paving company: a 5:30 AM paving-decision text, an end-of-day KPI pipeline, and where AI actually earns its keep.
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