AI Applications

Apps intelligent custom-built.

Transform your ideas into applications that understand, reason and act. GPT-5, Claude, open source models... AI at the service of your business.

TL;DR

Keerok builds custom AI applications: smart chatbots, document processing, predictive analytics, virtual assistants. Technologies: GPT-5, Claude, LangChain, LlamaIndex. From POC to production.

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9 years of automation, data and AI work for large companies: food, energy, spirits, media, retail.

They Trusted Us

  • Disneyland Paris
  • Pernod Ricard
  • Nestlé
  • TotalEnergies
  • Radio France
  • Castorama
  • Enpal
  • Solpedinn

Types of applications

Virtual Assistants

Intelligent chatbots, customer support assistants, business copilots... Conversational interfaces that truly understand.

Document Processing

Information extraction, document classification, report generation... AI at the service of your data.

Predictive Analytics

Sales forecasting, anomaly detection, customer scoring... Anticipate the future with your historical data.

Tech Stack

LLMs

GPT-5, Claude, Mistral, Llama

Frameworks

LangChain, LlamaIndex, Haystack

Vector DBs

Pinecone, Weaviate, Chroma

Cloud

AWS, GCP, Azure

APIs

REST, GraphQL, WebSocket

MLOps

Monitoring, Versioning, CI/CD

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Frequently asked questions

Which AI applications for my business?

The most common AI applications in business include: chatbots and virtual assistants for customer support, automatic document processing (invoices, contracts, resumes), predictive analytics for sales and inventory, recommendation engines, and content generation tools. The right choice depends on your existing processes and data.

How much does it cost to develop an AI app?

The cost varies with complexity: a simple chatbot costs between 5,000 and 15,000 euros, a document-processing application between 15,000 and 40,000 euros, and a complete predictive system between 30,000 and 80,000 euros. Recurring costs include hosting and API calls to the models (GPT-5, Claude). Keerok offers a free audit to estimate your project.

Generative AI vs traditional AI for businesses?

Traditional AI (machine learning) excels at classification, prediction and anomaly detection on structured data. Generative AI (GPT-5, Claude) is ideal for understanding text, generating content, chatbots and analyzing unstructured documents. Many projects combine both approaches for the best results.

How do I integrate AI into my existing processes?

AI integration happens step by step: 1) Identify the processes with the highest automation potential, 2) Build a POC on a specific use case, 3) Connect the AI to your existing tools via APIs (CRM, ERP, email), 4) Train the teams and adjust. Keerok supports every step for a successful adoption.

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