LLM.coPrivate, self-hosted LLM deployments
Legal AI infrastructure for firms
AI RFP discovery and response drafting
Automatic.coBusiness process automation
Secure AI virtual data roomsCustom 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?
More from DEV.co
Orlando teams usually need more than one kind of build. These are the practices behind the work above.
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.