Custom software for Orlando — built the AI-native way.
We pair senior engineers with an AI-accelerated delivery model to ship custom software for Orlando's defense-simulation, hospitality, and B2B operators — without the fragile output that gives AI a bad name.
AI changed the economics of custom software. We rebuilt our process around it.
Orlando is the country's largest defense-simulation, training, and theme-park-tech market — anchored by the Naval Air Warfare Center Training Systems Division, Lockheed Martin's training and simulation footprint, the Disney and Universal park-tech ecosystems, and a fast-growing healthcare and B2B SaaS scene. Senior hires are six figures, months out, and picked over by defense primes, hospitality operators, and the venture-backed challengers around them. AI changes the math, but only when senior people own the parts AI gets wrong.
On an Orlando defense-simulation, hospitality, or operations build, AI handles the repetitive 70% — schemas, scaffolding, CRUD, dashboards, glue. The 30% AI gets wrong is the part your contracting officer, park operations team, or compliance lead will catch: simulation-only assumptions that break with real data, logging that doesn't cover an authentication event, race conditions on a peak-day write, and integration with bespoke training-system protocols AI invents instead of reads. Raw AI output ships those silently.
We build for Orlando operators — defense-simulation and training-system vendors shipping into program milestones, theme-park and hospitality platforms scaling under peak load, healthcare and provider tools, B2B SaaS shipping into Central Florida buyers, and modernization of decades-old enterprise stacks. Our model: AI handles scaffolding and the repetitive 70%; a senior engineer owns architecture, security review, and signs off on every change.
AI writes the first draft. A senior engineer signs off.
Every change runs through review for security, tests, and architecture before it ships — that review is the product.
const draft = await ai.generate(spec) // minutes, not daysreview(draft, { security: true, tests: true, architecture: true })// ✗ rejected: training-simulation assumption breaks against real operator behavior → noise-injected replay test// ✓ merged: idempotent peak-day hospitality webhook handler, ordered-event reconstruction for late training eventsOn an Orlando defense-simulation or hospitality build, the failure modes are simulation-only assumptions, peak-load race conditions, and out-of-order training events. Senior review catches them before a fielded test or a holiday weekend does.
What we build for Orlando companies.
Defense & national-security software
Mission tools and analytics built for the security, classification, and integration standards your contracts require.
Hospitality & gaming software
Booking, loyalty, and operations platforms for hotels, restaurants, venues, and operators.
EdTech & learning platforms
Student-facing apps, LMS extensions, and institutional tools that work for districts and universities.
SaaS platforms
Multi-tenant products with auth, billing, and dashboards — MVP to scale.
AI applications
Copilots, RAG, search, and agents grounded in your data, with guardrails and evals.
Internal tools & copilots
Operations tooling that replaces the spreadsheet-and-tribal-knowledge workflow.
A senior team that moves at AI speed.
You work with senior engineers in Eastern Time who own architecture, regulated-environment posture, and quality — fitting into a Research Park defense team, a Lake Nona healthcare-tech standup, or a downtown Orlando SaaS PR review — not a junior pool with raw AI output bolted on.
Orlando's senior engineering pool is split between defense and simulation contractors, theme-park and hospitality operators, and a growing healthcare and SaaS bench — three-to-six months to hire and quietly poached by remote coastal roles. An AI-native team gets you shipping this week, flexes monthly, and doesn't need a Research Park office.
Talk to an engineerTraditional Orlando dev shop vs. AI-native.
| Traditional Agency | DEV.co (AI-native) | |
|---|---|---|
| Time to working software | Months | Days to weeks |
| Cost | Full senior rates, all hours | Lower — AI removes the rote work |
| Code quality | Good (if senior) | Same bar — every change reviewed |
| AI risk | — | Contained by senior review + tests |
| You own the code | Usually | Always — full repo on day one |
| Scales with you | Slow to staff up | Flex up or down monthly |
Common questions from Orlando teams.
Do you work with Orlando companies?
Do you work with defense-simulation and training-systems teams?
Can you build for peak-load hospitality and theme-park operations?
Is AI-built software production-ready?
Will we own the code?
How fast can we start?
Can you work with our existing team?
Let's build it — Orlando.
Tell us what you're shipping. We'll give you a senior engineer's read, an honest timeline, a fixed quote, and tell you whether AI-native is the right fit for your build.