Shipped Work · Case Files

We solve business problems. Here are the results.

We don't publish a portfolio of pretty screenshots. Each case below covers the problem the business came to us with, the system we built, and the results.

// every case below is live and in production today

CASE_01

RebrandWebsiteVideoRFQ flowQuoting app

CASE_01 · JTR Specialties

JTR Specialties website hero: flight-critical parts, machined to the micron

FIG. 01 · aerospace machine shop

A rebrand, website, and custom quoting app for an aerospace machine shop.

The problem

JTR Specialties machines complex, tight-tolerance parts for the aerospace industry, and had no website at all. Larger contracts require a vendor the buyer can vet: capabilities listed, equipment documented, a brand that signals the shop takes the work as seriously as they do. Without that, the bigger RFQs went elsewhere, and quoting the jobs they did win was slow and manual.

What we built

A complete rebrand and a website that puts the shop’s real capabilities on record, with cinematic video that shows the work the way a facility walkthrough would. A streamlined RFQ flow captures every detail of a job up front, so quotes go back faster. Behind the scenes, a custom job-costing app prices each job against real shop numbers, so margins are set on purpose instead of by feel.

What changed

Bigger jobsnow biddable, with capabilities on record for vendor vetting

Faster quotesRFQ details captured up front, answered sooner

Protected marginsevery job costed in the quoting app before it’s priced

CASE_02

Custom softwareLocal document parsingSecurity & complianceClaims workspace

CASE_02 · Eagle Medical Billing

Eagle Medical Billing custom claims dashboard with claim tracking and totals

FIG. 02 · medical billing company

Fully integrated custom software to manage their claims.

The problem

Eagle’s medical billing system surfaces claim detail one way: PDF reports. There is no export and no API, so every claim was typed by hand from those PDFs into a spreadsheet to track it. As claim volume grew, keeping up meant hiring two full-time staff to do nothing but data entry. And because claim data is HIPAA-regulated medical billing information, shortcutting the work through an external AI service was off the table.

What we built

A custom internal platform that integrates with the output their billing system actually produces. Staff drop in claim and EOB PDFs in batches, and a localized parsing engine extracts the detail from each one: claim IDs, members, dates of service, procedure codes, charges, allowed amounts, and adjustment codes. Nothing leaves their environment. Every extraction is validated against existing records, and failed claims land in a work queue where they are tracked to resolution instead of living in a spreadsheet.

How it works

Ingest

Claim and EOB PDFs drop in straight from the billing system, in batches.

Parse locally

IDs, codes, charges, and adjustments extracted inside their environment. No external AI.

Validate

Extractions checked against existing records. Anomalies flagged for review, not silently imported.

Queue

Failed claims land in a filtered work queue with statuses and running totals.

Resolve

Every claim tracked to resolution, with a record of each step along the way.

Security

Medical billing data is HIPAA-regulated, and the system treats it that way: role-based access so staff see only what their job requires, encryption in transit and at rest, an audit log on every action, and parsing that runs entirely inside their environment so claim data never reaches an external AI service.

What changed

2 full-time hiresavoided at current claim volume

1 systemreplacing PDFs, re-typing, and the tracking spreadsheet

100% localparsing, no claim data sent to external AI

CASE_03

AI voice agentCall screeningIntake automation

CASE_03 · Integrated Clinix

Integrated Clinix website: specialty therapy from the comfort of home

FIG. 03 · in-home therapy provider

An AI voice agent that answers every billing call.

The problem

Clients with billing questions all called one main line, and there was never enough staff to pick up every call. Questions piled up in a voicemail box, callbacks started from zero context, and real questions waited in line behind spam. It was one of the most painful processes in the business.

What we built

An AI voice agent that answers every call, asks the right intake questions, records the details, and screens out spam before it ever reaches the team. When staff call back, the full context is already on screen, so the conversation starts at the answer instead of at the beginning.

What changed

100%of billing calls answered, day or night

100s of hourssaved on intake and back-and-forth callbacks

0 spam callsreaching the billing team

CASE_04

Brand buildWebsitePerformanceLocal AI search

CASE_04 · Dryer Vent Champions

Dryer Vent Champions website hero: lint is the enemy, we’re the squad

FIG. 04 · home services, new business

A new brand and website, indexed in Google within 48 hours.

The problem

Dryer Vent Champions started with no name, no site, and a service most homeowners don’t think about until something goes wrong. The site had to earn a homeowner’s trust fast, explain why the work matters, and get found in a category people only search when they need it.

What we built

A full brand build and a modern website written to help homeowners understand the value of the service and trust the people behind it. Every page is tuned for performance and structured so Google and local AI search can read it, index it, and recommend the business.

What changed

48 hoursfor new pages to be indexed in Google

28 → 95PageSpeed, passing Core Web Vitals at launch

AI search readystructured to show up in local AI results

CASE_05

Your business could be next.

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