Senior engineers who build and run the systems DME providers bill, document, and get paid with: backend, interface, and the servers underneath. One missing document is the whole margin. We write the code that catches it.
One missing document. That is the entire distance between a paid claim and a write-off.
Not case studies written after the fact. Software our engineers wrote code inside, still running in providers' offices. We name a client only with their permission, so the products below are described, not identified.
Enterprise HME/DME platform
The cloud software providers run their businesses on (documentation, inventory, delivery, resupply, patient billing, and revenue cycle management), serving thousands of practices across the United States.
AI record review for DME
AI review that flags missing documentation before the claim is submitted. Verifies coverage-policy compliance, extracts patient and physician data from unstructured records, and auto-generates payer-compliant addendums.
Consumer sports platform
A performance platform for athletes and coaches. The same rigor we bring to regulated systems, applied to a consumer product with real-time demands and no tolerance for lag.
Our own IAM platform
Identity infrastructure we built and now sell to other regulated software companies: tenant isolation, audit trails, and SSO for healthcare, fintech, and enterprise products.
The compliance engine plugs straight into the billing platform. We have worked on both sides of that seam, which is rarer than it sounds, and is precisely where healthcare integrations go wrong.
A claim moves through four stages. Each one is a place it can die. We have written code in all four.
Intake, structured extraction from messy medical records, and LCD/NCD verification before anything is submitted.
Clean-claim rules, payer-specific edits, and the validation that decides whether a claim is even accepted.
Denial handling, reason-code logic, appeals, and the addendums that turn a rejection back into a payment.
Posting, reconciliation, and reporting, so the money that arrives matches the money you were owed.
Multi-tenant systems, REST APIs, and service boundaries that survive a growing product. Laravel and Python, because we know them cold.
MySQL, PostgreSQL, Redis, Elasticsearch. Query optimization and replication for data that stopped fitting in memory long ago.
AWS, Docker, CI/CD, zero-downtime deploys. A deploy that scares you is a deploy you postpone.
Latch Vector is a software engineering company led by senior technical people who still do the architecture and the coding themselves, not a layer of account managers between you and the work.
We deliver complete systems and maintain them in production: the backend, the interface, and the infrastructure beneath it. From architecture and deployment through the ongoing maintenance that follows, one team is accountable end to end, and the team grows as the work does.
Our deepest domain is the demanding side of healthcare: the systems that determine whether a durable medical equipment provider is paid. We understand what an LCD is, why a claim returns CO-50, and what fails when a resupply workflow meets a real patient record. That expertise is a specialty, not a limit: the same engineering carries over to fintech and enterprise systems, wherever data is regulated or volume is significant, including the multi-tenant identity infrastructure we build and run ourselves.
If you need engineers who have solved your problem before, and who stay engaged as the work scales, we are worth an hour of your time.
Before we touch anything, we map what exists: the billing paths, the payer edits, the parts a previous team left undocumented. You get the map, whether or not you keep working with us.
A real fix in production, chosen because it is low risk and visibly useful. It tells you more about working with us than any proposal would.
Architecture, backend, interface, infrastructure, and the maintenance that follows. No hand-offs, no account manager between you and the engineers.
We do not publish names. Our engineers hold current positions elsewhere, and we will not put them in an awkward spot to decorate a website. What we can show you is the code: our SDKs are public, our documentation is open, and you will be on a call with the person who wrote both.
Senior Engineer
Laravel and Python in production for 7+ years. System design, service boundaries, and the multi-tenant data models healthcare platforms are built on. Has worked inside an HME platform serving thousands of US practices.
Senior Engineer
Claims pipelines, documentation intake, and integrations with established DME platforms. Fluent in LCD/NCD verification, payer-specific edits, and the reason-code logic that decides whether a rejection becomes a payment.
Senior Engineer
AWS, containerization, CI/CD. Keeps deploys boring and keeps systems handling PHI scoped, logged, and auditable.
Chosen because we know them cold, not because they were trending.
The things engineers and operators actually ask us first.
We work inside systems more often than we start them. Most of our work has been adding to and untangling billing, documentation, and revenue cycle code that was already in production with real patients in it. Greenfield is fine too, but "there is an existing codebase and it scares people" is our normal starting condition.
Access control and audit trails as a default, not a phase two. We assume every record is PHI, scope access to it, and log who touched what. We have built inside systems that carry protected health information for thousands of US practices, so this is habit rather than a checklist we discover at the end.
Yes, that is most of what we do. We read unfamiliar code for a living: payer-specific edits, reason-code logic, resupply workflows, the parts a previous team left undocumented. We map it before we touch it, and you get the map.
Probably, if the data is regulated or high-volume. The domain we know cold is healthcare billing, but the engineering (multi-tenant architecture, integrations, performance, audit trails, the interface on top) travels. We also build for fintech and enterprise, and the multi-tenant identity platform we sell runs on the same foundations.
Laravel and Python on the backend, Vue and React on the interface. MySQL, PostgreSQL, Redis, and Elasticsearch for data. AWS, Docker, and CI/CD for infrastructure and deployment. We reach for tools because we know them cold, not because they are trending. The full list is above.
Describe what is breaking, what is slow, or what will not survive an audit. You will get an engineer's answer, not a sales call.
Talk to an engineerThe identity layer, already solved. Multi-tenancy, SSO, and permissions come up in almost every system we build. We stopped rebuilding them and turned ours into a product. If your platform needs tenant isolation that survives a security review, you can use it directly. See the platform
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