AI & Machine Learning Development
We integrate OpenAI, Claude, and Gemini into real products — AI chatbots, RAG knowledge bases, content generation, and intelligent automation — with fallbacks, guardrails, and usage analytics.
Adding AI to a product is easy to demo and hard to ship. We build AI features that hold up in production: graceful fallbacks between providers, prompt templates, streaming responses, source citations, and cost and token-usage tracking.
Our work spans conversational assistants, retrieval-augmented generation (RAG) over your own documents, content generation tools, summarisation, and recommendation or prediction features tied to your data.
We integrate with the models you trust — OpenAI, Anthropic Claude, and Google Gemini — and can blend them so your product stays reliable and cost-effective as APIs change.
Our AI Development Deliverables
Everything included when you hire RA Technologies for ai development.
AI chatbots and virtual assistants
RAG knowledge bases with source citations
Multi-provider integration with automatic fallback
Content generation, summarisation, and writing tools
Streaming responses and function/tool calling
Prompt templates and recipe management
Token usage and cost analytics dashboards
Guardrails, validation, and safety handling
Technologies We Use
Our AI Development Process
A proven development process that delivers results on time and on budget.
Discovery
We understand your goals, users, and technical requirements in a free call.
Architecture
We design the system, database, and structure, and agree on fixed milestones.
Development
We build iteratively with weekly demos so you always see working software.
Testing
QA, performance testing, and security checks before anything ships.
Launch & Support
We deploy, monitor, and iterate — with post-launch support included.
AI Development — Questions Answered
Common questions clients ask before hiring us for ai development.
Can you add AI to my existing application?
Yes. We integrate AI features into your current stack — chatbots, content generation, RAG knowledge bases, and automation — without rebuilding your product from scratch.
Which AI models do you work with?
OpenAI (GPT), Anthropic Claude, and Google Gemini. We often build a multi-provider layer with automatic fallback so your app keeps working even if one provider has issues.
What is RAG and do I need it?
Retrieval-Augmented Generation lets an AI answer questions using your own documents and data, with citations. It is ideal for support assistants and internal knowledge bases where accuracy matters.
How do you control AI costs?
We track token usage, cache where possible, route simpler tasks to cheaper models, and build usage dashboards so you can see and manage spend per customer or feature.
How long does an AI feature take to build?
A focused AI feature or chatbot typically takes 1–3 weeks; a full RAG platform with dashboards and multi-provider support takes 4–8 weeks.
Do I need my own API keys?
You can use your own provider keys, or we can set up a shared key with usage limits. Either way, keys stay secure on the server, never in the browser.
Related Services
Ready to Start Your Project?
Tell us about your goals and we will send a custom proposal within 24 hours.