// ai service
Custom AI Platforms
Off-the-shelf AI tools answer general questions. A custom AI platform built by CodeXcelerate answers questions about your business — trained on your documents, governed by your data rules, and designed for your team's specific workflows. We build end-to-end AI platforms: RAG knowledge systems that search your proprietary data, LLM-powered dashboards your entire team can use, voice AI applications for customer-facing automation, and AI marketplaces that serve multiple user types from a single infrastructure. We shipped Affortable — an AI marketplace with 18,000+ active users — in 160 hours. That's the standard we hold every AI platform build to: production quality, real users, real scale. Custom AI platform development starts from $8,000. Every engagement begins with a free technical review of your use case — no pitch, just a clear technical recommendation.
// sound familiar?
Is This the Right Fit?
// who it's for
Built For These Situations
// what's included
What You Get
// outcomes
What Success Looks Like
// why codexcelerate
Why Clients Choose Us
We've shipped AI products to 18,000+ real users
We built Affortable — a pay-as-you-go AI marketplace — from zero to 18,000+ active users in 160 hours. That means we've solved real AI product problems at scale: cost control, model fallbacks, streaming UX, multi-provider routing, and quality monitoring. Most agencies haven't shipped an AI product. We run one.
Model-agnostic — we pick what performs, not what's popular
We work with OpenAI GPT-4o, Anthropic Claude, Llama 3, Mistral, and Gemini. We choose the right model for your use case, latency requirements and budget — not based on vendor relationships. For most knowledge-base applications, Claude outperforms GPT-4o on long-context retrieval. We'll tell you that even if it's not the obvious choice.
RAG systems that actually retrieve correctly
Most RAG demos look good but break on production data — the wrong chunks get retrieved, the model hallucinates, edge cases fail. We use hybrid search (vector + BM25 keyword), metadata filtering, re-ranking, and query rewriting to get 85%+ accuracy on real domain data. Evaluation is built in from day one, not bolted on after.
60–70% lower cost than US/UK AI agencies
Senior AI engineering in the US costs $150–$250/hr. Our team — LangChain, LangGraph, RAG, fine-tuning, vector databases, FastAPI — bills at $45–$65/hr with Western-standard delivery, English communication, NDA before work starts, and 3–4 hours of daily timezone overlap with US and UK teams.
// comparison
Us vs. a Typical Agency
| What we compare | CodeXcelerate | Typical agency |
|---|---|---|
| Built on your proprietary data | Yes — custom RAG pipeline | Generic pre-trained knowledge only |
| Model flexibility | OpenAI, Claude, Llama, Mistral, Gemini | Usually single vendor lock-in |
| Evaluation framework | Built in — test suite + quality dashboard | Typically none |
| Admin dashboard | Usage, cost, latency, quality metrics | Rarely included |
| Scales to 10,000+ users | Yes — architected for scale from day one | Demo-grade, needs rewrite |
| API cost optimisation | 30–60% reduction via caching/batching | Not addressed |
| Senior engineer rate | $45–$65/hr | $150–$250/hr (US/UK agencies) |
// tech we use
Our Toolkit
// process
How We Deliver
Discovery
We map your goals, users and constraints into a clear product brief and fixed scope.
Design
We design the experience and architecture before a line of code ships.
Build
We build in agile sprints with weekly demos and full transparency into progress.
Launch
We ship to production with testing, monitoring and a smooth rollout plan.
Support
We stay on as your team — iterating, optimizing and scaling with you.
// client reviews
What Clients Say
"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
Related Case Studies
// faq
Frequently Asked Questions
A custom AI platform is a production-grade software product built on large language models (LLMs) and your proprietary data — combining retrieval-augmented generation (RAG), a purpose-built user interface, role-based access control, monitoring dashboards, and safety guardrails into a single system tailored to your specific business workflows. Unlike ChatGPT or Copilot, a custom AI platform only answers from your data, enforces your access rules, and is designed for your users — not the general public.
Let's build it together
Tell us what you're building and get a free, no-obligation quote — we reply within 4 hours.