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AI built around how your industry works

A generic AI tool knows nothing about carrier submission rules, dispatch windows, HIPAA, or MLS feeds. We build AI applications designed around the specific workflow, vocabulary, and compliance requirements of your sector, starting with the industries we already serve every day.

The model is generic. The application can't be

The same AI that writes poetry can process a claim, but only if someone who understands claims builds the application around it.

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A good fit if you

  • Work in a regulated or process-heavy industry where generic tools miss the details
  • Have tried off-the-shelf AI and found it doesn't understand your terminology or rules
  • Have a repeatable workflow specific to your sector that eats staff time
  • Need AI that respects compliance requirements your industry actually has
  • Want a system your competitors don't have because nobody built it for your niche

The large AI models are general-purpose. What makes them useful in a business is the application built around them: the prompts that encode how your industry talks, the integrations to the systems your sector runs on, the rules that keep the output inside what your regulator allows, and the workflow that puts the result in front of the right person at the right moment. That layer is industry-specific by definition, and it's what we build.

We come to this with real depth in a handful of sectors: insurance agencies, HVAC and the trades, roofing, medical and aesthetic practices, real estate, legal and professional services, and e-commerce. We've run marketing, intake, and operations work for these businesses for years. We know what an agency's renewal cycle looks like, how a roofing crew documents a job, and why a medical practice can't use most consumer AI tools as they come.

For industries outside that list, we start with discovery: we learn your process from the people who run it before we propose anything. The application is built to fit your business, not the other way around.

What an industry-specific application includes

Every build combines the pieces below in the proportion your workflow needs.

Tools and stack we work in

  • OpenAI
  • Anthropic
  • Google Gemini
  • LangChain
  • Retrieval-augmented generation
  • Zapier
  • Make
  • REST and GraphQL APIs
  • Postgres
  • Supabase
  • AWS
  • Google Cloud

The stack follows the industry. A HIPAA-sensitive practice and an e-commerce brand need different hosting, different data handling, and sometimes different models. We choose after discovery, not before.

  • Domain-tuned language and rules

    Prompts, glossaries, and logic that reflect how your industry talks and what it's allowed to say, so the output doesn't need rewriting.

  • Integrations to your sector's systems

    Agency management systems, field service platforms, EHR and practice management, MLS and CRM, case management, e-commerce platforms.

  • Compliance guardrails

    Output constraints, audit logs, human review steps, and data handling designed for HIPAA, insurance regulation, legal confidentiality, or consumer protection as applicable.

  • Workflow embedding

    The AI shows up inside the tools your team already uses, at the step where it helps, not in a separate window they have to remember.

  • Knowledge base grounding

    Answers drawn from your documents, your pricing, your policies, and your product data rather than from general internet knowledge.

  • Role-based experiences

    What the owner sees, what the technician sees, and what the customer sees, each designed for how that person works.

  • Measurement against your KPI

    Built to move the number your industry runs on: bind rate, booked jobs, patient retention, closed transactions, billable hours, order value.

Industries we build for

Starting with the sectors where we already run marketing and operations work, and expanding by discovery.

Insurance agencies

Quote intake that gathers the right information for each product line, carrier-rule checks before submission, renewal outreach in the client's language, and compliance-safe follow-up.

HVAC, plumbing, roofing, and trades

Dispatch assistance that reads the request and the location, estimate drafting from job photos and history, maintenance-plan outreach, and review capture on completion.

Medical and aesthetic practices

Patient intake and triage that respects HIPAA, appointment optimization, treatment-plan follow-up sequences, and multilingual patient communication.

Real estate

Lead qualification by intent and timeline, listing descriptions from property data, showing coordination, and transaction document tracking through close.

Legal and professional services

Matter intake and conflict screening, document drafting from templates and case facts, deadline tracking, and client status updates that don't need a paralegal.

E-commerce and retail

Product data enrichment, customer support grounded in order history, returns triage, and merchandising suggestions from inventory and demand.

Why we start with the industries we know

Because the application only works if the person building it understands the workflow. We've spent years in insurance agencies, trades, practices, brokerages, and law firms doing marketing, intake, and operations work. We know where the time goes and where the mistakes happen. That knowledge is most of the value; the model is the easy part.

It also means the AI application connects to the rest of what we do for you. The intake it handles is the intake our campaigns produce. The reviews it captures are the ones that lift your local rankings. The data it structures is the data our analytics uses. One team, one plan, one number we're all measured on.

How we work

  1. Discovery and data audit

    We learn how the business makes money, where the decision or the workflow actually breaks, and what data exists to fix it. If the data isn't there yet, that becomes step one.

  2. Roadmap and architecture

    One plan that names the outcome, the integrations, the guardrails, and the budget. Sequenced so the fastest win funds the longer build.

  3. Build and integrate

    We build inside your systems and your accounts, connect to the tools you already run, and test against real data before anything touches a customer.

  4. Measure and improve

    Monthly reviews on the business number the system was built to move, not on model accuracy in isolation. We keep tuning after launch.

The same standards as everything else we do

  • You own the code and the data

    Source, models, prompts, pipelines, and accounts are yours. If we ever part ways, everything we built stays with you.

  • Revenue model first

    We ask how the company makes money before we ask which model to use. AI that doesn't move a business number is a science project. It's how we work on everything.

  • No hidden fees

    Scope is written before it's priced. Cloud and API costs are passed through at cost, not marked up.

  • Senior people, always

    The engineer who scopes your system is the one who builds it. No handoff to a junior pod after the contract.

  • Guardrails by default

    Human review where decisions carry risk, logging on every automated action, and a kill switch you control.

  • Three languages

    Systems that read, write, and talk in English, Spanish, and Portuguese, because your customers do. See where we operate.

Questions we get asked

The layer around the model: the vocabulary and rules it's given, the systems it connects to, the compliance constraints it respects, and the workflow it lives inside. The model is general. The application is built for how your sector actually operates.

Built for your industry. Owned by you.

Tell us the workflow that eats your team's time. Thirty minutes tells us whether an AI application fits and which pieces we've already built for businesses like yours.

Book a strategy session ($350)
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