CodeXcelerate
CodeXcelerate
// ai service
We design and build full custom AI platforms — from RAG knowledge systems and LLM-powered dashboards to voice AI applications and AI marketplaces. For businesses whose use case outgrows off-the-shelf AI tools, we build bespoke systems grounded in your proprietary data, governed by your business rules, and accessible to every member of your team — not just engineers. We've built AI platforms serving 18,000+ users across fintech, healthtech, SaaS and marketplace verticals.
// sound familiar?
// who it's for
// what's included
// outcomes
// why codexcelerate
We built Affortable — an AI marketplace with 18,000+ active users built in 160 hours. We know what it takes to get an AI product from prototype to production, handle real traffic, and manage costs at scale. The gap between a demo and a product is something we've crossed many times.
We work with OpenAI, Anthropic Claude, and open-source models like Llama and Mistral. We choose the right model for your use case and budget — not the one with the biggest marketing budget or the one we're incentivised to recommend.
Every AI platform we build ships with an evaluation layer — a set of test cases and quality metrics that let you know when model changes affect output quality. You're never flying blind on whether your AI system is working.
AI engineering in the US or UK costs $120–$200/hr for comparable expertise. Our AI engineers — LangChain, LangGraph, RAG, fine-tuning, vector databases — work at $45–$60/hr with Western-quality output and 3–4 hours daily timezone overlap.
// comparison
| What we compare | CodeXcelerate | Typical agency |
|---|---|---|
| Model flexibility | OpenAI, Claude, Llama, Mistral | Usually single vendor |
| RAG architecture | Custom-built for your domain | Off-the-shelf templates |
| Evaluation framework | Included, tracked in dashboard | Usually none |
| Admin dashboard | Usage, cost, quality metrics | Not included |
| Rate | $45–$60/hr | $150–$250/hr (US/UK) |
// tech we use
// process
We map your goals, users and constraints into a clear product brief and fixed scope.
We design the experience and architecture before a line of code ships.
We build in agile sprints with weekly demos and full transparency into progress.
We ship to production with testing, monitoring and a smooth rollout plan.
We stay on as your team — iterating, optimizing and scaling with you.
// client reviews
"CodeXcelerate took TradeBeep from just an idea to a launched product — the app, the admin panel, the landing page, and even our marketing. Having one team handle the build and the growth made everything seamless."
Oluwole Kayode
Founder, TradeBeep
"They built Snap To Let end to end, from concept to launch, and the quality was excellent. We trusted them so much that we're now building a second product with them."
Geetha Nath
Founder, Snap To Let
// related work
// faq
A custom AI platform is a bespoke product built on your data and business logic — combining language models, retrieval systems, user interfaces and monitoring into a system tailored to your specific use case. Unlike off-the-shelf AI tools, it understands your domain, respects your data governance, and is designed for your users' specific workflows.
Tell us what you're building and get a free, no-obligation quote — we reply within 4 hours.
