AI consulting and development · Orlando, FL
AI consulting and development for Orlando companies
Your guest-facing AI pilot did well in the demo, and it still can't reach production while it might guess a price or a policy. Our senior engineers build agents that cite the rate sheet or policy they read, with evals that score every change before a guest sees it. Orlando's resorts and theme parks are the obvious case, and a simulation firm in Central Florida Research Park or a hospital system has the same problem.
Founded
2017, and still independent
Bench
115+ engineers, 80 Databricks-certified
Experience
Fifteen years average, per engineer
Serving
Orlando, Kissimmee, Lake Nona, Winter Park
Hospitality and theme parks at a scale no other metro reaches, the country's largest simulation and training cluster beside the university, a medical city growing at Lake Nona, and the Space Coast an hour east. If you run a resort, a training system or a hospital, a wrong answer from a model reaches a guest, a trainee or a patient.
TechFabric is a Databricks partner with an award-winning Databricks engineering team, 80 of them Databricks-certified, and a Temporal partner. Where a system reaches past the workspace we build on Azure, AWS and Google Cloud.
What ai consulting and development covers
Agents that hold state
A task that runs for three days, calls six systems and waits twice on a person cannot live in a request handler. We build agents on a durable runtime, so a deploy in the middle of a run does not lose the run, and a retry does not send the same email twice.
Retrieval that cites what it used
An answer nobody can trace is an answer nobody can defend. Retrieval is built so every response carries the documents behind it.
Evaluation, before and after
Without a score, every prompt change is a matter of opinion. We put deterministic scorers and model-based judges in front of the thing so a change ships with a number attached rather than with a feeling.
Human approval where it belongs
Some actions should stop and wait for a person. That gate is part of the system rather than a policy document, so an agent that wants to issue a refund pauses, the approval is recorded, and the run picks up where it left off.
Cost you can see
Model spend, retrieval infrastructure and the review time a system still needs are the numbers that decide whether it stays live after the first quarter. They get instrumented at build time, not discovered on an invoice.
Governed data access
An agent reads through the same grants a person would. On Databricks that is Unity Catalog, so a model that tries to reach a table it has no grant for fails the way any principal fails, rather than because the prompt asked it nicely.
AI consulting in Orlando
In Orlando, AI consulting often begins with the customer-facing case, a resort in Lake Buena Vista, a training contractor or a hospital that wants an assistant which never invents a price or a policy. We define the sources it may cite, the questions it must hand to a person, and how its accuracy gets measured.
The peak is the specification
Orlando's busiest weeks arrive together. When the parks around Lake Buena Vista fill at Christmas and spring break, a resort's booking traffic, its card transactions and the number of staff on handsets all climb at once. Every till, kiosk and mobile checkout added for the season widens PCI DSS scope too, and version 4's future-dated requirements have been mandatory since 31 March 2025.
Load tests usually model the average day and add headroom. What breaks on the peak is usually a path nobody tested at volume, like a refund, a modification or a booking that half-completes when the payment provider times out. Those are the paths we test first, because a guest charged twice during the holiday week stays a problem long after the week is over.
We replay last season's traffic against a staging copy and list every system that touches card data. Then the booking and refund workflows get rebuilt so a step that fails resumes where it stopped, and capacity is sized to the season's curve, with compute that comes back down in January.
Clients we have done this for
A resort, ticketing or training business keeps guest or trainee records in several systems, each failing in its own way. Athlinks needed more than 400 million athlete records stitched together across disparate sources, and a serverless pipeline on Temporal gave the team automated retries and real-time visibility.
Health & Wellness
Athlinks
Athlinks had more than 400 million athlete records from sources that never agreed on who an athlete was, and a matching run that died halfway through couldn't just start again. Our engineers took the project from prototype to production as a serverless pipeline on AWS with Temporal holding the state. Failed steps now retry on their own, failures reach Slack as they happen, and the matching rules are tuned for each tier.
Also for
How an engagement runs
01
Two weeks, fixed fee
An AI Readiness Assessment reads what you already run, names the use cases that will survive your data and your permissions, and puts a number on what each will cost to operate. It ends in a written document that is yours either way.
02
One system, named
We pick the first thing to build with you and say what done looks like before starting. A first system that reaches production beats three that reach a demo.
03
Build it with your team
Your engineers are in the repository with ours from the first week. The pattern has to be one they can extend after we leave, which does not happen if they meet it at handover.
04
Run it, then hand it over
We stay on the pager while it settles, because the design decisions look different when the person making them is the one being woken. Handover happens when it is boring, not when the invoice is due.
Two weeks, fixed fee, and a written plan whether or not you build it with us.
Tell an engineer what you want to build
A senior engineer reads it and replies within one business day, usually with the questions that decide the first two weeks.
Around Orlando
Where Central Florida builds with models
Orlando Devs, a volunteer non-profit, runs several meetups, among them the Orlando AWS User Group, whose recent evenings covered building agents with Strands and running them in production. It moves between UCF Downtown and Rollins College in Winter Park. GDG Central Florida runs DevFest as a weekend hackathon at UCF Downtown with a Data for Good track, and Live! 360 gives AI a conference of its own.
UCF's Institute of Artificial Intelligence pulls in faculty from medicine and business as well as computer science, and it leans toward applied work. That suits Orlando, where the AI that counts answers a guest about a rate, a trainee about a procedure or a patient about an appointment. A guest quoted the wrong price doesn't care how fast it was built, so the AWS group's evenings on agents in production are the closer match.
The Orlando-Kissimmee-Sanford metro area. Florida: Lake, Orange, Osceola and Seminole counties.
Lighter shape: the city itself. Dot: downtown. County boundaries from the US Census Bureau, 2023.
User group · Monthly, weekday evenings
Orlando AWS User Group
Recent evenings covered building agents with Strands and running them in production, the half of the problem a guest-facing pilot usually skips.
Volunteer organisers, part of the AWS User Group community. Rotates, including UCF Downtown and Rollins College, Winter Park.
University · Ongoing
Institute of Artificial Intelligence (IAI), University of Central Florida
With faculty from medicine and business alongside computer science, UCF's institute leans applied, which suits a hospital or resort with one narrow question.
University of Central Florida. University of Central Florida, main campus, Orlando.
User group · New group, schedule to be set
Orlando Databricks User Group
If your AI plans run on Databricks, a brand-new group is the cheapest place to find the other Central Florida teams doing the same.
Volunteer organisers, part of the Databricks User Groups community. Seminole State College, 100 Weldon Blvd, Sanford (first event).
Hub · Several times a month
Orlando Devs (ODevs)
Several meetups, workshops and a Discord sit under this nonprofit, so it's the shortest route to Central Florida developers already building with models.
Orlando Devs, a volunteer-run nonprofit. Rotates across Orlando and Winter Park venues.
University · Ongoing degree programme
Master of Science in Data Analytics, University of Central Florida
Classes run evenings and weekends for working students, and the optional AI track turns out analysts who can also build and evaluate a model.
UCF Department of Computer Science. University of Central Florida, Orlando.
More in Orlando (3)
- Day of Data Orlando 2026
A free one-day data and AI conference, formerly SQLSaturday Orlando and now in its 19th year. Sessions cover SQL Server, Power BI, Fabric, Snowflake, Databricks, cloud platforms, analytics and machine learning.
17 October 2026. Seminole State College, 100 Weldon Blvd, Sanford.
- DevFest Hackathon 2026: Build, Innovate & Connect
GDG Central Florida's DevFest, run in 2026 as a weekend hackathon with Saturday workshops and Sunday demos. Tracks are Devs, Game Devs and Data for Good, and beginners are welcome.
6 to 8 November 2026. UCF Downtown, 500 W Livingston St, Orlando.
- Live! 360 Tech Con 2026
A week of six co-located conferences for Microsoft-stack developers and IT staff, made up of Visual Studio Live!, Data Platform Live!, TechMentor, Artificial Intelligence Live!, AI Enterprise Architecture Live! and Cybersecurity & Ransomware Live!
15 to 20 November 2026. Royal Pacific Resort at Universal Orlando.
Each listing was checked on its organiser's own page on 12 October 2026. Dates and venues move, so the link is the source.
FAQ
AI consulting and development in Orlando: common questions
Do you work with Orlando companies?
Yes, and with companies across the United States. Arizona does not observe daylight saving, so we are two hours behind you from November to March and three hours behind from March to November. That leaves most of your afternoon overlapping our morning, which is usually enough.
Do you have an office in Orlando?
The office is in Gilbert, Arizona, with teams in Amsterdam, Dnipro and Hyderabad. Delivery is remote or hybrid, and we travel for discovery, workshops and the opening weeks of a build.
Can you build for a seasonal peak without paying for it all year?
Yes, and it is a design decision rather than a hosting one. Stateless services scale to the week and back, the durable workflow underneath keeps a reservation or a refund from half-completing under load, and the data platform bills by what runs. We test against the peak before it arrives, with a runbook for the day it does.
What kind of AI development do you do?
Agents that carry state across a long task, retrieval that cites what it used, workflow automation that survives a restart, and the evaluation that tells you whether any of it got better. The common thread is that it has to run unattended and be explainable afterwards, which is a different problem from getting a good answer once.
How does an AI engagement start?
Usually with something short and fixed so the cost is known before you commit. The AI Readiness Assessment runs two weeks for a fixed fee and ends with a written deliverable that is yours whether or not you continue.
Also in Orlando
What else we build for Orlando companies.
Software development in Orlando
The release is waiting on engineers you haven't hired, and the system still has to hold on the busiest weekend of the year.
Databricks consulting in Orlando
Guest, booking and point-of-sale records sit in Oracle, SQL Server and vendor warehouses that disagree on who the customer is, and the cost climbs with every season.
AI consulting and development elsewhere
The same work, in other metros. The full list is here.
New York, NY
New York, Brooklyn, Queens
Boston, MA
Boston, Cambridge, Somerville
Atlanta, GA
Atlanta, Alpharetta, Marietta
Miami, FL
Miami, Fort Lauderdale, Coral Gables
Charlotte, NC
Charlotte, Concord, Gastonia
Philadelphia, PA
Philadelphia, King of Prussia, Wilmington
Detroit, MI
Detroit, Ann Arbor, Dearborn
Tampa, FL
Tampa, St. Petersburg, Clearwater
Chicago, IL
Chicago, Naperville, Evanston
Phoenix · Dallas · Houston · Austin · Nashville · Minneapolis · Denver · Salt Lake City · Los Angeles · San Francisco · Seattle · San Diego · Washington · Raleigh · Portland

