LLM & Generative AI
GPT-4o, Claude 3.5, Gemini & Open-Source (Llama, Mistral)
About Qodeon Labs
The AI engineering team
businesses trust to build and ship
Founded in 2019, Qodeon Labs is an AI-powered software development agency serving ambitious businesses across the US, UK, EU, and UAE. We build custom AI solutions, LLM applications, intelligent automation systems, and AI-native SaaS platforms — with a team that has done it 80+ times before.
80+Projects DeliveredAcross 7 industries
6+Years Building AISince 2019
4Global RegionsUS · UK · EU · UAE
Who We Are
An AI engineering team, not a generalist agency
Qodeon Labs was founded in 2019 with a simple belief: the businesses that win in the next decade will be the ones that use AI as a core operational and product advantage, not just a feature.
We're a team of AI engineers, ML practitioners, full-stack developers, and product thinkers. We've been building production AI systems — long before it was mainstream. NLP pipelines in 2020. LLM applications in 2022. AI agents and RAG systems at scale in 2023–2025.
We don't do everything for everyone. We specialize in AI-powered software — and that focus is exactly why our clients choose us over agencies that treat AI as a side practice.
Book a Free Discovery CallFounded 2019 — 6+ years of AI engineering
80+ projects delivered across 7 industries
Clients in US, UK, EU, and UAE
AI-native team — not a traditional agency pivot
Full-stack: LLMs, MLOps, frontend, cloud, DevOps
GDPR, HIPAA, and SOC 2 compliant AI systems
Weekly demos, direct engineer access, shared boards
NDA signed before every discovery conversation
Why Clients Choose Us
What Makes Qodeon Different
There are hundreds of software agencies. Here's why our clients, many of whom came after being burned by others, trust us with their most important AI projects.
AI-Native Since 2019, Not 2024
We didn't pivot to AI when it became trendy. We've been building production AI systems — NLP pipelines, predictive ML models, LLM applications, and intelligent automation — since before generative AI went mainstream. That means 6+ years of hard-won lessons that you benefit from on day one.
We Ship. Every Time.
80+ projects delivered on time and on budget. We don't have a graveyard of abandoned clients — we have a track record of shipping mission-critical AI systems that clients are still running years later. Ask us for references. We'll provide them.
We Think in Business Outcomes, Not Features
Every AI system we build is tied to a measurable business outcome — cost reduction, revenue uplift, efficiency gains, or competitive differentiation. If we can't define what success looks like in your language, we won't start the project.
Full-Stack AI Under One Roof
LLM orchestration, vector databases, ML model training, backend APIs, frontend interfaces, cloud deployment, and DevOps — we do all of it. You work with one team that owns the full stack, not a patchwork of vendors passing blame.
Radical Transparency, Every Week
Weekly video demos. Shared project boards. Direct Slack access to your engineers. No black boxes, no 'we'll show you at the end of the sprint.' You know exactly what we built and why — every single week.
We Work With You, Not Just For You
We don't execute tickets — we partner with you. We challenge assumptions, raise risks early, suggest better approaches, and think strategically about your product. If something is going to fail, you'll hear it from us before the deadline, not after.
Technical Depth
Our AI & Engineering Stack
We work with every major AI platform and framework — and we choose the right tool for your specific problem, not just the one we're most comfortable with. Our engineers have shipped production systems across all of these.
AI-Native Web Platforms
Next.js, React, Node.js — full-stack AI-powered apps
RAG & Vector Systems
Pinecone, Weaviate, Chroma, LangChain, LlamaIndex
MLOps & Cloud AI
AWS SageMaker, Vertex AI, Azure ML — production deployments
Mobile & Cross-Platform
React Native, Flutter — AI-powered iOS & Android apps
Compliant AI Systems
GDPR, HIPAA, SOC 2 — security built in, not bolted on
Domain Expertise
Industries We've Built AI For
We don't just bring AI skills — we bring industry context. Here are the verticals where we have the deepest experience and the most relevant case studies.
⚖️
Legal Tech
Document AI, contract review, legal Q&A systems
🏥
Healthcare
Predictive analytics, patient risk models, clinical AI
🛒
E-Commerce
Personalization engines, AI search, recommendation systems
📊
Fintech
Fraud detection, risk scoring, AI underwriting
👥
HR & Recruiting
AI screening, candidate matching, talent analytics
⚙️
Enterprise SaaS
AI copilots, automation layers, LLM integrations
Our Journey
6 Years of Building AI
From a small custom software shop to one of the most trusted AI engineering teams for global businesses — here's how we got here.
2019
Qodeon Labs founded — first clients in custom software development
2020
First production AI system shipped — NLP pipeline for a legal tech client
2021
Expanded to US & UK markets. First enterprise SaaS project launched
2022
Healthcare ML and FinTech AI work begins. Team grows to 8 engineers
2023
50th project milestone. LLM/GPT-4 integration work begins for multiple clients
2024
AI-first positioning solidified. 12+ LLM and RAG projects shipped
2025
80+ projects delivered. AI agents, multi-modal systems, enterprise automation at scale
Working With Us
What Engaging Qodeon Labs Looks Like
Simple, predictable, and transparent. Here's what happens from your first message to a shipped AI system.
01
You Tell Us the Problem
No requirements doc needed. Just tell us the business challenge — we'll help you translate it into an AI opportunity with clear ROI.
02
We Send a Free Proposal
Within 3–5 days, you receive a detailed proposal covering approach, timeline, tech stack, and investment. No vague estimates.
03
We Build in Transparent Sprints
Weekly demos, direct Slack access, shared project board. You're always in the loop — never waiting weeks to see progress.
04
We Launch and Stay
We handle deployment and go-live. Post-launch, we stay engaged for monitoring, optimization, and continued development.