AI and custom software, industry by industry.

The method is the same everywhere: start with the P&L, fix the budget, ship working software every two weeks. What changes by industry is where the hours go, which data is sensitive, and which use cases pay back first.

01why industry matters

Most AI advice is generic because most AI tools are. But the return on AI is not generic at all. A dental practice gains the most when patients can see their outcome before they book. A property manager gains the most when a maintenance request is triaged in seconds. A professional services firm gains the most when its own past work becomes searchable. Starting with the right use case for your industry is the difference between a pilot that pays back in a quarter and one that quietly gets cancelled.

Industry also decides the constraints: patient privacy in healthcare, client confidentiality in law and accounting, fair housing in real estate, investor reporting standards in private equity. Those shape the architecture from the first sprint, so they need to be understood before anything is priced.

02industries we build for

Our public case studies span healthtech (Nestwell), dental practices (Supreme Dental), and sports and golf tech (Pinned Golf). On the other industry pages we say plainly where our proof comes from another sector and what transfers.

what tends to pay back first, by industry

In healthcare and dental, reminders, rebooking, and unscheduled treatment follow-up. In professional services, proposal drafting from past work. In real estate, lead response. In ecommerce, routine support questions. In private equity portfolios, back office processing and reporting. Each is high volume, low risk, and easy to measure against a baseline.

03who this is for

Owners and operators of companies, usually doing $10M or more a year, who want AI and custom software that fits how their industry actually works. If your industry is not listed, the same questions apply, and we are happy to work through them with you:

• Where does your team spend hours reading, re-typing, or chasing information?
• Where do customers wait, and what does a slow response cost you?
• Which knowledge lives in documents or in a few people's heads?
• Which data is sensitive, and who regulates how you use it?

For how we approach companies of this size across sectors, see AI consulting for mid-sized companies.

04how it runs, in any industry

1. Diagnose. We start with the P&L, not the tech stack: where the work must return money, and how much.
2. Fix the budget. A scoped plan with a number you can take to the board, including the industry's data and compliance decisions. Change requests are priced before they are started, never after.
3. Build in the open. Working software every two weeks, with our engineers and your operators in the same room.
4. Operate and compound. We stay past launch, measuring what shipped, hardening what works, and retiring what does not earn its keep.

The services behind every industry page are listed on all services, including AI workflow automation, AI agents, and custom AI development.

05common questions about industries

Which industries does Insomnia Club work in?

Public case studies span healthtech, dental practices, and sports and golf tech, alongside game development. We also build for private equity portfolio companies, professional services firms, real estate, and ecommerce, with the same method in each.

Do you need experience in our exact industry?

It helps for the constraints, such as privacy, confidentiality, or compliance, and we learn those during diagnosis. The engineering and the method transfer across sectors. Where our proof comes from a different sector, our industry pages say so.

What is the best first AI project in most industries?

Usually the highest volume repetitive work that already has a clear right answer: intake, document handling, routine customer questions, or reporting. These pay back fastest and carry the least risk.

How do you handle regulated or sensitive data?

The data and compliance decisions are part of the scoped plan before work starts: which vendors touch the data, what is sent where, who can see what, and what is logged. Your compliance lead or counsel should review the design.

Our industry is not listed. Can you still help?

Very likely. The same questions apply in any industry: where hours go, where customers wait, which knowledge is trapped in documents, and which data is sensitive. Book a call and we will work through them.

How long does an industry-specific AI project take?

Scope is fixed up front, so the timeline is set when the budget is. Working software lands every two weeks from the first sprint, and the first use case is usually chosen because it can show results early, before the larger builds begin.