AI Integration

Add AI to your existing product without rebuilding from scratch. We integrate production-ready AI capabilities into your current systems: custom chatbots trained on your data, RAG systems that give accurate answers from your knowledge base, and automation pipelines that eliminate repetitive manual work. No PhD required. No six-figure consulting fees.

We work with OpenAI (GPT-4), Anthropic (Claude), open-source models, and LangChain to pick the right tool for each use case. Every integration includes prompt engineering optimized for your domain, vector database setup when needed, and monitoring to track accuracy and costs over time. You get AI that actually works in production, not a demo that falls apart with real data.

Our fixed-price packages mean you know the total investment upfront. Most integrations go from assessment to production in 3-5 weeks. After launch, we provide documentation and training so your team can maintain and extend the AI features independently.

  • AI Strategy Consultation
  • Custom Prompt Engineering
  • API Integration
  • Fine-tuning & Training
  • RAG Implementation
  • Performance Optimization
AI Integration
AI Integration

Who Is This For?

SaaS companies that want to add AI-powered features to their product but do not have ML engineers on staff. Whether it is smart search, content generation, or automated classification, we handle the technical complexity so your product team can focus on the user experience.

Customer support and operations teams drowning in repetitive tasks. If your team spends hours answering the same questions, routing tickets, or processing documents manually, an AI chatbot or automation pipeline can handle 60-80% of that volume while your team focuses on complex cases.

Companies sitting on valuable data that is not being used. If you have years of support tickets, internal documentation, or domain expertise locked in PDFs and wikis, a RAG system turns that knowledge into an AI assistant that gives accurate, sourced answers in seconds.

Why Qorinx

Why Teams Choose Us.

What sets us apart from traditional agencies and freelancers.

Senior Engineers Only

Every project is handled by experienced full-stack developers with 8+ years of production experience. No juniors, no outsourcing.

Fixed Pricing

You know the total cost before we write a single line of code. No hourly billing, no scope creep charges, no surprise invoices.

Fast Delivery

We deliver in weeks, not months. Tight timelines are a feature, not a bug. Speed without cutting corners on quality.

Full Code Ownership

From day one, all source code is yours. Delivered via your Git repository. No lock-in, no proprietary frameworks.

EU-Based & GDPR Compliant

Registered in Estonia (EU). Fully GDPR compliant. We sign NDAs as standard practice and follow security best practices.

Transparent Communication

Daily or weekly updates, shared project boards, and live demos of work in progress. No black boxes, no vanishing acts.

Our Process

From Assessment to Production in 5 Weeks.

Step
01

Assessment

Evaluate your current stack and identify AI opportunities

Week 1
Step
02

Prototype

Build proof-of-concept to validate approach and accuracy

Week 2
Step
03

Integration

Production implementation integrated with your systems

Weeks 3-4
Step
04

Optimization

Fine-tune for performance, cost, and accuracy

Week 5

A transparent, step-by-step approach

Pricing

Fixed-Price AI Integration Packages.

Predictable pricing for every AI project. No hourly billing, no runaway costs.

Custom AI Chatbots

€5,000starting from

Intelligent chatbot trained on your data and brand voice

  • Custom-trained chatbot
  • Knowledge base integration
  • Multi-channel deployment
  • Analytics dashboard
Most Popular

RAG Systems

€8,000starting from

Retrieval-Augmented Generation for accurate, contextual AI answers

  • Document ingestion pipeline
  • Vector database setup
  • Semantic search
  • API endpoint for your app
  • Accuracy monitoring

AI Feature Integration

€6,000starting from

Add AI-powered features directly into your existing product

  • AI feature scoping
  • API integration
  • Custom prompt engineering
  • Production deployment

AI Automation

€5,000starting from

Automate repetitive workflows with intelligent AI pipelines

  • Workflow analysis
  • AI pipeline design
  • Integration with existing tools
  • Monitoring & alerts
Common Questions

Frequently Asked Questions.

Everything you need to know about AI Integration.

We work with OpenAI (GPT-4, GPT-4 Turbo), Anthropic (Claude), open-source models (Llama, Mistral), and specialized models for tasks like embeddings and classification. We pick the right model for each use case based on accuracy, cost, latency, and data privacy requirements. If you need to keep data on-premises, we can deploy open-source models in your own infrastructure.

Most integrations take 3-5 weeks from kickoff to production. Week 1 is assessment and scoping. Week 2 is prototyping and validating the approach. Weeks 3-4 are production implementation. Week 5 is optimization and handoff. Simpler integrations (like adding a chatbot to your website) can be done in 2-3 weeks. Complex RAG systems with large document corpuses may take 5-6 weeks.

We take accuracy seriously. For RAG systems, we implement source attribution so every AI answer links back to the original document. We build evaluation pipelines that measure accuracy against ground-truth datasets. We use prompt engineering techniques like chain-of-thought reasoning and few-shot examples to reduce hallucination rates. And we set up monitoring dashboards so you can track accuracy over time and catch regressions early.

RAG stands for Retrieval-Augmented Generation. It connects an AI model to your own data (documents, knowledge base, database) so it can answer questions based on your specific information instead of just its training data. You need RAG if you want AI that knows about your products, policies, internal processes, or any domain-specific information. Without RAG, the AI can only give generic answers.

It depends on volume and model choice. A chatbot handling 1,000 conversations per month typically costs €50-200 in API fees. A RAG system processing 10,000 queries per month runs €200-500. We optimize for cost during the integration process by choosing the right model size, implementing caching, and batching requests where possible. We provide a cost estimate during the assessment phase so there are no surprises.

Yes. AI integrations connect via API, so they work with any modern tech stack. We have integrated AI features into React, Vue, Angular, and mobile apps on the frontend, and Node.js, Python, Ruby, Java, and PHP backends. If your system can make HTTP requests, we can add AI to it. We handle all the plumbing: API wrappers, error handling, rate limiting, and fallback logic.

Let's Build Together

Ready to Get Started?

Book a free consultation to discuss your project and see how we can help.

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