Custom AI models, generative AI features and RAG pipelines for Florida businesses, built by engineers who ship production software, with FDBR and HIPAA-aware data practices from the first sprint.
Quick answer: Apptechies is an AI development company serving Florida businesses with custom machine learning models, generative AI features and RAG pipelines, with FDBR and HIPAA-aware data handling built in from day one, not a compliance checklist applied before launch.
An AI model is only as trustworthy as the data pipeline feeding it. Every engagement starts with the same security baseline, covered by our compliance and security practices rather than a checklist applied right before launch.

Hover or tap a card to see what it covers.
Use-case discovery and a build roadmap before a single line of model code is written.
Context-aware conversational interfaces that resolve a real task against your own data.
Custom generative features grounded in your product's own data and guardrails.
Vendor and model selection, cost modelling and a rollout plan for GPT-4, Claude or Gemini.
Supervised, unsupervised and reinforcement-learning models trained on your actual task.
Image classification, defect detection and document extraction for retail and healthcare.
Wiring an existing or third-party model into your production stack.
Automating repetitive, rules-based back-office work.
Retrieval-augmented pipelines that ground LLM output in your own documents.
Autonomous agents for support and scheduling that hand off to a human cleanly.

AI Photo & Avatar Generator
An AI photography platform that turns a few selfies into professional-quality portraits and avatars across thousands of styles, built for consumer scale.

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A custom AI-powered keyboard for digital creators and direct sellers โ surfacing saved content, generating on-the-fly copy, and putting an entire content library one tap away in any app.

AI-Powered Hunting & Fishing Companion
An AI-assisted hunting and fishing companion app helping outdoor enthusiasts identify species, log catches, and plan trips smarter.

AI Content & Brand Approval Platform
A creator and brand content platform with topic management, review workflows, and an approval dashboard for coordinating content across teams and campaigns.
โThe AI-powered fitness platform Apptechies developed integrates personalized workout plans, nutrition tracking, and real-time progress monitoring in one beautiful app. Their technical execution has been exceptional.โ
Lano Majid
Owner ยท Ultravoom

The Florida Digital Bill of Rights (FDBR) gives Florida consumers real rights over how their data is collected and used. We scope those considerations during discovery.

8+ years building software that has to work in production.
Containerised inference, monitoring and CI/CD on every model.
We've shipped booking and itinerary platforms for real travel app development clients, a natural fit for Florida's tourism economy.
Data handling decisions get scoped against the Florida Digital Bill of Rights during discovery.
Recognition
UpCity 2025
Best AI Development Agency
Recognized by real clients, with 500+ clients across 25+ industries.
Technology stack

Straight answers about AI development costs, timelines, model choices, data security, and working with our team in Florida.
Custom models, generative AI features, RAG pipelines, AI chatbots and process-automation tools, matched to your product's actual data and workflow, not a generic off-the-shelf wrapper around a public API.
A focused AI feature typically runs $25,000-$70,000. A full generative AI product with multiple integrations can run $150,000 or more. We scope against your actual requirements after a discovery call.
Yes. Booking, itinerary and personalisation systems are a regular part of our work, which maps naturally onto Florida's tourism-driven economy.
We scope data minimisation, consumer rights handling and disclosure requirements into the architecture during discovery, alongside HIPAA-aware practices for healthcare clients.
Our US headquarters is in Austin, Texas, with additional offices in London, UK and Mohali, India. We serve Florida clients remotely with strong Eastern-time overlap and are happy to meet in person when useful.
A focused MVP typically takes 6 to 10 weeks. A full generative AI product with multiple integrations usually runs 16 to 24 weeks.
Yes, we are happy to sign an NDA before any detailed discussion of your data, business logic or systems.
Ask to see AI products the team has actually shipped to production, not just a prototype, then compare how each proposal handles data privacy, model evaluation and what happens after launch, rather than just the headline price.
We scope the specific use case, give an honest recommendation on whether prompting, fine-tuning or a full RAG pipeline fits, build and evaluate against real questions your users will ask, then deploy with monitoring rather than treating launch as the finish line.
An off-the-shelf AI tool can work when your use case is close to standard, like a generic support chatbot. Custom development earns its cost once you need the model grounded in your own data or evaluated against your own accuracy bar.
Yes, that is one of our most common engagements. We typically wire in a hosted model behind a RAG pipeline grounded in your own documents, so answers stay accurate to your business rather than generic.
Encryption at rest and in transit, role-based access control scoped to the smallest team that needs it, and versioned data pipelines so any model output is traceable to its source data.
Yes. You can hire an AI developer to work inside your existing team and codebase on a dedicated basis, or we can run the full project as a self-contained team depending on how you want to staff it.
You own the source code, trained model artifacts, and documentation delivered under the engagement. We are happy to sign an NDA before any detailed discussion of your data, business logic or systems.
Tell us your use case, data sources, and existing systems. Let's discuss scope, timing, and the next step.