Why choose Codexia

Proof before commitment

A working proof of concept in 2 weeks, credited against the full build.

Your data stays yours

Never used to train public models. NDA on request. HIPAA and GDPR-compliant builds.

The right model for the job

GPT, Claude, Gemini, open-source or a custom trained model, chosen for your use case and budget.

One team for the whole product

AI engineers, mobile and web developers and designers under one roof.

Fixed, milestone-based pricing

A clear quote, with payments tied to delivered milestones.

Support after launch

90 days of free support and 1 year of free hosting.

Industries we have helped

8
+

Years of excellence

250
+

Products shipped

150
+

CLIENTS

15
+

Countries

How much does AI development cost?

Fixed-price packages. Start with a 2-week proof of concept.

Starter

$4,000–$8,000
3–6 weeks

  • Support chatbot
  • Smart search
  • Document summaries

Get a free AI consultation

Advanced

$15,000+
2–4 months

  • AI-first app
  • Multi-agent system
  • Custom-trained model

Get a free AI consultation

What drives cost

The number of AI features, how much of your data is involved, integrations, custom model training and compliance needs.

Running costs

AI providers charge for usage, typically $20–$300 a month for an early stage product. We estimate this before the build starts.

Every project includes free deployment, 1 year of free hosting and 90 days of free support.

What clients say about us?

Jamie Carmichael

We made the decision to swap developers around three to four years ago, for us it's been by far the best decision that we've made. When you change developers or engage with developers, there's always a level of uncertainty, but for us, Ali and the team established trust very, very quickly. Projects themselves were managed really well. At one point we had them working on four different projects, all very different in the level of complexity and needs, and we had fantastic outcomes for all of th... Show More

Team MyTestDrive

Gavin Sheppard

We have had the pleasure of working with Ali and the team at Codexia Tech for the past 12 months to develop our web and mobile apps for water tank monitoring. We have been really pleased with the quality of the work produced and the speed of delivery. They have worked hard to find solutions that worked for us and the communication has always been excellent. I look forward to working with Codexia Tech in the near future on further projects.

Co-Founder TankMate

Arthur van Cadsand

We are a streaming company, we stream live jazz from venues and people can either pay subscription just like Netflix or paper concerts. And from the moment we engaged with Codexia, their team demonstrated a level of professionalism, expertise and commitment that exceeded my expectation. They showcased a deep understanding of what we wanted and they carefully listened to our requirements and even brought some innovation solutions to the table. And throughout the development process they displaced the dedication ... Show More

CEO & Co-Founder of WatchLiveJazz

Process

01
01

Discovery call Week 1

We map the problem, your data and what success looks like. NDA on request.

02
02

Proof of concept Weeks 1–2

A working version on your real data. Its fee is credited against the full build.

03
03

Build in sprints Week 3 onward

Milestone-based development with a live demo every week.

04
04

Test and launch Final 1–2 weeks

Accuracy testing, security checks and deployment to your cloud.

05
05

Support and improve After launch

90 days of free support, then monitoring and tuning as usage grows.

Technologies

OpenAI

Anthropic Claude

Google Gemini

Hugging Face

LangChain

Phython Logo - Codexia Technologies

Python

Node.js

AWS

Postgre SQL Logo - Codexia Technologies

PostgreSQL

Firebase

Frequently Asked Questions

Most projects cost between $4,000 and $15,000+. A single AI feature or chatbot costs $4,000–$8,000. An assistant trained on your own data costs $8,000–$15,000. A product built around AI starts at $15,000.

A proof of concept takes 2 weeks. A full build takes 3 weeks to 4 months, depending on scope.

OpenAI’s GPT, Anthropic’s Claude, Google’s Gemini and open-source models. We recommend one based on your use case, accuracy needs and budget.

Yes. Most projects work best on an existing model with your data connected to it. When a use case needs it, we fine-tune or train a custom model.

Yes. Your data is never used to train public models. We sign an NDA on request and build to HIPAA and GDPR requirements where needed.

Yes. We review your current system, then add AI features without rebuilding it.

A working version of your core AI feature, built in 2 weeks on your real data. If you continue, its fee is credited against the full build.

Yes. Full ownership of the source code and IP transfers to you on final payment.

Get a proof of concept in 2 weeks Tell us what you want AI to do. Within 24 to 48 hours you'll get a scope,
a timeline and a fixed-price range.