SERVICE · AI DEVELOPMENT

AI that keeps running in production.

Computer vision, RAG pipelines, voice agents and document AI. Not demo AI but systems that handle production traffic month after month. Claude 4.7, GPT-4.5, Mistral and local models.

Claude 4.7 SonnetGPT-4.5MistralGrok 4.3

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Next.js✦React 19✦TypeScript✦Laravel 12✦Tailwind CSS✦Filament✦Node.js✦Python✦PostgreSQL✦Redis✦Supabase✦Prisma✦Shopify✦Stripe✦Mollie✦GraphQL✦tRPC✦React Native✦OpenAI✦Anthropic Claude✦LangChain✦RAG✦Computer Vision✦Pinecone✦AWS✦Cloudflare✦Vercel✦Docker✦Kubernetes✦Terraform✦Three.js✦WebGL✦GSAP✦Framer Motion✦Playwright✦Vitest✦Next.js✦React 19✦TypeScript✦Laravel 12✦Tailwind CSS✦Filament✦Node.js✦Python✦PostgreSQL✦Redis✦Supabase✦Prisma✦Shopify✦Stripe✦Mollie✦GraphQL✦tRPC✦React Native✦OpenAI✦Anthropic Claude✦LangChain✦RAG✦Computer Vision✦Pinecone✦AWS✦Cloudflare✦Vercel✦Docker✦Kubernetes✦Terraform✦Three.js✦WebGL✦GSAP✦Framer Motion✦Playwright✦Vitest✦

QUICK ANSWER

AI development at NedDev runs on a mix of Claude 4.7, GPT-4.5 and local models, embedded in a RAG pipeline on a vector database. A production AI feature starts at €8,000 and goes live in 4-8 weeks. We keep the models up to date and monitor prompt drift via Sentry and custom dashboards.

WHAT FOR

When ai development is the right call.

AI development is the right choice when you want to automatically process large volumes of documents, conversations, or images: document analysis, voice agents, computer vision, and RAG systems built on your own knowledge base.

Use cases

Document analysis and automatic classification
Voice agents and chatbots with domain knowledge
Computer vision for construction drawings, ID verification, quality control
RAG systems on your own knowledge base or labor agreements

Stack

Claude 4.7 Sonnet
GPT-4.5
Mistral
Grok 4.3
Memgraph
Qdrant
Shapely
FastAPI
LangChain

          PRICE · from €8,000
          TIMELINE · 4-8 weeks
        

FREQUENTLY ASKED

AI development · FAQ.

What does an AI feature cost in 2026?

A production AI feature at NedDev costs between €8,000 and €35,000. For RAG on your own documents you are looking at around €12,000 including vector-database setup. Computer vision applications start at €20,000 because of the more complex training and validation.

Which AI models does NedDev use?

We combine Claude 4.7 Sonnet for long-context tasks, GPT-4.5 for reasoning, Mistral for on-premise scenarios and Grok 4.3 for real-time data. For computer vision we use our own YOLO + Shapely pipelines.

How do you keep AI output stable?

Every production AI at NedDev has prompt versioning, output validation via JSON schema, fallback models and monitoring on latency, cost and output quality via Sentry. We log every generation so regressions stay traceable.

What is a RAG pipeline?

RAG stands for Retrieval Augmented Generation. The system first finds relevant chunks from your documents via a vector database, passes those as context to an LLM, and generates an answer with source citations. At Lexi AI this delivers 95 percent accuracy on labor-agreement questions.

AI that keeps running in production.