CodeXcelerate
CodeXcelerate
// ai service
Generative AI has moved from hype to infrastructure — and the companies winning with it aren't using ChatGPT via a browser, they're embedding custom AI into their core product. CodeXcelerate builds production-ready generative AI applications: LLM-powered features for SaaS products, image generation pipelines, multimodal AI systems that reason over text and images together, and fine-tuned models that match your brand voice or domain expertise. We've shipped 50+ AI products for startups and enterprises across the US, UK and Australia. Generative AI development starts from $4,000.
// sound familiar?
// who it's for
// what's included
// outcomes
// why codexcelerate
Affortable — our own AI marketplace — serves 18,000+ active users across multiple LLM providers. We've solved production generative AI problems at scale: cost control, model fallbacks, streaming UX, multi-provider routing and quality monitoring. Most agencies have built demos. We run a live product.
We evaluate GPT-4o, Claude, Llama 3, Mistral and Gemini for each use case. For creative and long-form tasks, Claude often outperforms GPT-4o. For structured extraction, GPT-4o tends to win. For cost-sensitive high-volume tasks, open-source Llama 3 can reduce costs by 80%. We choose based on your requirements — not vendor relationships.
A one-day prototype wraps an API. A production generative AI feature handles streaming responses, graceful fallbacks when a model is down, prompt caching to cut costs, rate limit management at scale, evaluation to catch quality degradation, and a monitoring dashboard so you see what's happening. We build the full stack.
Senior AI engineering in the US and UK costs $150–$250/hr. Our senior AI team — with production experience in LLMs, fine-tuning, multimodal AI and RAG — bills at $45–$65/hr with Western-standard delivery, English communication, and NDA before work starts.
// comparison
| What we compare | CodeXcelerate | Typical agency |
|---|---|---|
| Production-grade, not a demo | Yes — streaming, fallbacks, monitoring | Often demo-grade, breaks at scale |
| Model selection | GPT-4o, Claude, Llama, Mistral, Gemini | Usually single vendor |
| Evaluation framework | Built-in quality test suite | Typically none |
| Fine-tuning | Domain adaptation + brand voice | Rarely offered |
| API cost optimisation | 30–50% reduction via caching | Not addressed |
| Senior engineer rate | $45–$65/hr | $150–$250/hr (US/UK agencies) |
// 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
Generative AI development is the engineering work of embedding large language models (LLMs) and generative models into real software products — not just calling an API once, but building the full stack: streaming responses, fallback handling, prompt engineering for consistency, fine-tuning for domain accuracy, evaluation frameworks for quality monitoring, and admin dashboards for cost and latency visibility. The result is a production-grade AI feature or product your users can rely on, not a fragile demo.
Tell us what you're building and get a free, no-obligation quote — we reply within 4 hours.
