AI features inside your web and mobile applications
Chatbots, RAG-powered search, agentic workflows, and LLM features - engineered into your product, not sold as separate AI infrastructure.
What is AI Integration?
AI Integration at QAOcean means building AI-powered features into the application you're already shipping. Not a separate "AI platform" engagement - features that live inside your product: a chatbot in your dashboard, RAG search over your knowledge base, an agentic workflow that automates a slow internal process, content generation, classification, summarization.
We're a development studio that ships AI features the same way we ship any feature: with senior engineers, embedded testing, observability, and a clear path from prototype to production. Your AI feature works on day one, doesn't hallucinate into your customers' faces on day fifty, and has the cost monitoring you need before the bill surprises you.
What We Deliver
LLM-Powered Features
OpenAI, Anthropic Claude, and open-source LLMs integrated into your app for chat, summarization, classification, content generation, and more.
RAG & Knowledge Agents
Retrieval-augmented generation grounded in your data - vector databases, document ingestion, citation tracking, hallucination guards.
Agentic Workflows
Multi-step agents that take actions: pulling from APIs, writing to your database, orchestrating tools, with audit trails and human-in-the-loop checkpoints.
Conversational AI
Chatbots and voice assistants that integrate with your product and your support stack - not generic widgets dropped onto a page.
AI Quality & Safety
Evaluation frameworks, prompt-injection defenses, output validation, and continuous monitoring of model behavior in production.
Cost & Performance Optimization
Caching, prompt compression, model routing, and observability so AI features don't blow up your bill or your latency budget.
Our Process
Use Case Definition
Sharpen the AI use case to a concrete user-visible feature - what does the user click, what does the model produce, what's the win?
Prototype & Evaluate
Build a working prototype on real data; measure accuracy, latency, and cost before investing in production engineering.
Production Engineering
Wire the prototype into your app with proper error handling, rate limiting, fallbacks, and the observability you need to operate it.
Quality & Safety Layer
Evaluation harness, guardrails, output validation, prompt-injection defenses - production AI is not just "call the API."
Launch & Continuous Improvement
Roll out, monitor, and iterate. Every AI feature ships with a feedback loop and a way to improve the prompt or model in flight.
Tools & Technologies
Why Choose QAOcean
Frequently Asked Questions
Industries We Serve
See This Service in Action
Ship Better Software, Faster
Get a free 30-minute consultation to discuss how our ai integration can transform your workflow.
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