Tampa, Florida · Serving Tampa Bay

AI Development Company in Tampa, Florida

KeyesCode is a Tampa AI development company that designs and builds custom AI agents, LLM-powered applications, and retrieval systems for businesses in Tampa Bay and across Florida — production AI grounded in your data, not demos.

Built with

Anthropic ClaudeOpenAIpgvectorTypeScriptPythonAWS
AI Development in Tampa

AI Development for businesses in Tampa Bay

We build AI the way we build any other software: scoped against a business outcome, grounded in your real data, and shipped into production with monitoring, evals, and a rollback plan. We work with Anthropic Claude and OpenAI models, open-weight models when data has to stay in your environment, and vector search on PostgreSQL with pgvector for retrieval.

For Tampa businesses that means practical things: an AI coach inside a fitness app that reads real training data (Liftva), a recommendation engine that learns from every swipe (Date Vibes), a pipeline that finds highlights and captions video automatically (ClipForge), and an AI receptionist that answers your phones and books appointments. It also means the unglamorous work — document extraction, ticket triage, sales-call summaries — that saves a team ten hours a week.

If you're not sure where AI fits yet, we start with a short readiness audit and use-case roadmap, then prove the highest-value idea in a two-to-four-week proof-of-concept sprint before committing to a full build.

Looking for the full picture of this service, independent of location? See our AI Products service.

Why Tampa teams hire KeyesCode

  • Shipped AI features in production: recommendation engines, AI coaches, video pipelines, voice agents.
  • Model-agnostic — Claude, OpenAI, or open-weight models running in your own cloud.
  • Evals and monitoring built in, so quality doesn't silently regress after launch.
  • Tampa-based engineers who can sit with your team and map real workflows.
  • Roadmap-first: we'll tell you which AI ideas won't pay back before you spend on them.
What we build

AI that does real work inside your product or business

Every capability below has shipped to real users. We pick the smallest model and the simplest architecture that solves the problem, then measure it.

Custom AI Agents

Tool-using agents that research, monitor, draft, and take action across your systems with human approval where it matters.

LLM Product Features

AI coaches, assistants, summarization, and generation features embedded in your web or mobile product.

RAG & Knowledge Search

Retrieval over your documents, tickets, and databases so answers cite your data instead of hallucinating.

Document & Data Extraction

Turn invoices, forms, contracts, and PDFs into structured records with validation and review queues.

AI Voice & Chat

Phone and chat agents that qualify leads, answer questions, and book appointments 24/7 — like our KeyesCode Receptionist.

Recommendation Engines

Vector-based personalization that learns from behavior — the engine behind Date Vibes' suggestions.

Media & Content Pipelines

Transcription, highlight detection, captioning, and generation at scale — the ClipForge pattern.

AI Readiness & Roadmaps

Vendor-neutral audits, use-case prioritization, and proof-of-concept sprints before you commit budget.

Who we build for in Tampa

Where Tampa businesses are getting value from AI

The wins aren't in chatbots for their own sake. They're in the repetitive, judgment-light work your team does every day.

01

Product companies adding AI features

Pain

Investors and customers expect AI in the product, but bolting on a generic chatbot made it worse, not better.

Solution

We design AI features around your data and users — coaching, recommendations, summarization — with evals that prove they work before launch.

02

Service businesses drowning in inbound

Pain

Calls, emails, and form submissions pile up. Leads go cold overnight and staff spend mornings triaging.

Solution

An AI receptionist and inbox agent that qualifies, answers, and books — then hands the rest to a human with full context.

03

Operations teams buried in documents

Pain

Invoices, applications, contracts, and reports are read and re-keyed by hand into three systems.

Solution

Extraction pipelines with validation and a review queue, so people approve instead of transcribe.

04

Leadership that needs an AI plan

Pain

Everyone's asking about AI, vendors are pitching hard, and nobody can say which ideas would actually pay back.

Solution

A short readiness audit and prioritized roadmap, then a fixed-scope proof of concept on the top idea.

Why choose us

Built for ownership, scalability, and the long haul

AI you can put in front of customers and defend in a board meeting.

Grounded, not generic

Retrieval, tool use, and evals keep the model tied to your data and your definition of correct.

Your data stays yours

Model choice and hosting follow your privacy requirements — including fully self-hosted options.

Local and accountable

A team you can meet in person in Tampa. No offshore hand-offs, no account managers between you and the engineers.

Technology stack

Opinionated, but not married to a stack

We default to a tight set of tools we trust in production, and pick the right one for each layer.

Models

01
Anthropic ClaudeOpenAIOpen-weight (Llama, Mistral)

Retrieval

02
pgvectorPostgreSQLEmbeddingsHybrid search

Orchestration

03
TypeScriptPythonTool useEvals

Voice & Media

04
WhisperFFmpegTwilio

Infra

05
AWSDockerRailwayGitHub Actions
Recent work

Software we've shipped for Tampa Bay and beyond

Real platforms, not mockups. Problem, stack, and outcome for a few engagements relevant to this service.

View all work
Service area

AI Development across Tampa Bay

We're based in Tampa and meet clients in person across Hillsborough, Pinellas, and Pasco counties. Everything else runs remote-first, so we work just as well with teams in Orlando, Miami, and the rest of Florida.

  • Tampa
  • St. Petersburg
  • Clearwater
  • Brandon
  • Riverview
  • Wesley Chapel
  • Lutz
  • Land O' Lakes
  • Westchase
  • South Tampa
  • Ybor City
  • Downtown Tampa
  • Carrollwood
  • Temple Terrace
  • Largo
  • Dunedin
  • Sarasota
  • Lakeland
FAQ

Questions about ai development in Tampa

What Tampa Bay businesses usually ask before kicking off a project with us.

Still unsure what you need?

Book a 30-minute technical discovery call. We'll help you clarify scope and the right next step.

Book a discovery call

How does AI agent development work for a Tampa company?

We map one workflow with your team, usually on-site, and agree on what the agent may do on its own and what needs a person's approval. Then we build it against your real data and tools, test it on an evaluation set drawn from real examples, and launch with monitoring. Most Tampa clients start with a single agent for lead intake, scheduling, or document handling and expand from there.

Do you build AI chatbots for Tampa businesses?

Yes. We build website chat and phone agents that answer questions from your own content, qualify leads, and book appointments 24/7, then hand the conversation to a person with full context when it needs one. Our KeyesCode Receptionist product is the fastest route to phone coverage, and custom chat and agent builds cover everything else.

Which AI models do you build with?

Whatever fits the job. We ship most production work on Anthropic Claude and OpenAI models, and use open-weight models when data has to stay inside your own cloud. We stay vendor-neutral and design so you can swap models later without a rewrite.

Will our data be used to train someone else's model?

No. We use API tiers with zero-retention or no-training terms, or self-host models in your environment when required. Data handling is documented in the architecture before we write code.

How do you know the AI is actually accurate?

We build an evaluation set from real examples early, measure the system against it on every change, and monitor outputs in production. If a feature can't be measured, we'll say so before you fund it.

How long does an AI project take?

A proof of concept usually takes 2–4 weeks. A production feature or agent typically ships in 6–12 weeks, then improves in two-week sprints as real usage data comes in.

Can you add AI to software we already have?

Yes — most AI work is integration work. We add retrieval, agents, or features alongside your existing product or internal tools via APIs, without a rewrite.

Do you offer AI consulting without a build?

Yes. Our AI consulting engagements cover readiness audits, use-case roadmaps, and vendor-neutral build-vs-buy analysis. Many Tampa clients start there and only build once the case is clear.

Ready to build in Tampa?

Tell us what you're trying to ship. We'll meet in person in Tampa or over a call, scope it honestly, and give you a fixed-fee estimate you own either way.