cropped shot of robot working with laptop on wooden surface

Generative AI Development Services

Build custom AI solutions that streamline your business operations. We deliver generative AI development services using GPT, Claude, and open-source LLMs - from AI chatbots and intelligent agents to RAG systems and custom AI models. We have over 10 years of experience in development and are ISO 27001 certified.

Ready to improve your operations with AI? Talk with us to discover how generative AI solutions can automate processes, improve customer service, and deliver a measurable return on investment (ROI).

Why businesses are racing to adopt generative AI solutions

While your competitors integrate AI solutions, every day without AI adoption costs you time, money, and market position. The AI revolution is transforming how businesses operate. Manual processes that could be automated, customer questions that pile up unanswered, and data that sits unused - these aren't just inefficiencies, they're competitive disadvantages. What is the real cost of delaying AI adoption?

The question isn't whether to adopt AI - it's how quickly you can implement AI solutions before the competitive gap becomes impossible to close.

Generative AI development services we offer

Our core strengths lie in generative AI development services, AI chatbot development, and AI agent development. We build working software from your ideas. We combine modern AI models with robust engineering to deliver AI solutions that create real business value.

Developer working on generative artificial intelligence at Droptica.

AI chatbot development services

Build intelligent chatbots and virtual assistants that understand your business context and provide accurate, instant responses. Our AI chatbot development services use RAG (Retrieval Augmented Generation) to connect AI models with your knowledge base, CRM, and business systems.

What our AI agency delivers:

  • Custom knowledge base integration: connect chatbots to your documents, databases, and internal systems.
  • RAG implementation: accurate responses based on your company data, not generic AI training.
  • Multi-platform deployment: website, Slack, Teams, customer support systems.
  • Natural language processing: understand user intent and context across multiple languages.
  • Analytics and optimization: track conversations, identify gaps, improve performance.

Here's how we do it: AI Document Chatbot - case study

Graphic presenting the visual appearance of the AI chatbot implemented on the ProjektMagazin platform.

How the AI chatbot made knowledge instantly accessible on ProjektMagazin

For ProjektMagazin.de, a Drupal-based platform, we developed an AI chatbot that makes finding information effortless. Users can ask questions in natural language and get precise answers in seconds instead of manually searching through hundreds of documents.

The tool keeps content always up to date and scales efficiently with the client’s growing knowledge base.

The development of AI agents is one of the AI solutions we offer our clients at Droptica.

AI agent development services

Autonomous AI agents that perform complex tasks, make decisions, and learn from interactions. We develop custom AI agents for customer service automation, sales processes, and business workflow optimization.

AI Agent capabilities:

  • Multi-step task execution: break down complex processes into automated workflows.
  • Decision-making logic: rule-based and ML-powered decision trees.
  • Integration with business tools: CRM, project management, data analysis platforms.
  • Continuous learning: agents improve performance based on interactions and feedback.
  • Human-in-the-loop: optional oversight for critical decisions.

Use cases:

  • Customer support automation (ticket routing, first-line responses).
  • Sales qualification and lead scoring.
  • Document processing and data extraction.
  • Internal workflow automation.

AI integration services

Connect AI capabilities to your existing systems without rebuilding from scratch. Our AI integration services help you add GPT-5, Claude, or open-source models to your applications, CRM, or business workflows.

AI integration options:

  • API integration – connect OpenAI, Anthropic, or custom models to your app
  • CRM AI enhancement – add AI to HubSpot, Salesforce, custom CRM
  • Workflow automation – AI-powered data processing, document analysis
  • Custom AI backend – your own AI infrastructure with vector DBs, LangChain

We handle:

  • Authentication and security (API key management, user permissions).
  • Rate limiting and cost optimization.
  • Error handling and fallback strategies.
  • Performance monitoring and logging.
  • GDPR compliance and data privacy.
The Droptica team, which develops generative artificial intelligence.

Custom generative AI solutions

Generative AI creates new content, automates complex tasks, and provides actionable insights from your data. We build custom generative AI solutions using GPT, Claude, Llama, and Stable Diffusion - adapted to your business needs and integrated with your existing systems.

What we deliver with generative AI:

  • Content creation and enhancement: generate high-quality text for marketing campaigns, customer communications, and product descriptions using OpenAI and Claude APIs.
  • Image generation and visual content generation: create brand-specific designs, product visualizations, and creative assets with DALL-E, Midjourney, and Stable Diffusion.
  • Data-driven predictive simulations: predict market trends, customer behavior, and business outcomes to make proactive decisions.
  • Automated document processing: extract, analyze, and generate insights from business documents at scale.
  • Personalized customer experiences: tailor content, recommendations, and communications based on user behavior and preferences.

Custom AI model development

Beyond off-the-shelf AI solutions, we train custom generative AI models for your industry and specific challenges. Fine-tune LLMs on your data, build domain-specific models, optimize for your use cases.

Implementation and ongoing support

Post-deployment monitoring, model updates, and technical consultation ensure your AI solutions perform optimally. Regular performance reviews, cost optimization, and feature enhancements.

Our AI team creates AI solutions that identify patterns, detect anomalies, and predict future trends.

Classification models and predictive AI

Discover the power of data with Droptica's custom classification models. We build AI solutions that identify patterns, detect anomalies, and predict future trends based on your historical data.

Our classification AI services:

  • Image recognition: identify objects and scenes to enhance user experience and automate tasks.
  • Anomaly detection: spot data irregularities for timely intervention, ideal for fraud detection and system monitoring.
  • OCR and document understanding: digitize and comprehend textual content from images and documents, streamlining data management.
  • Sentiment analysis: decode emotions and sentiments from text data, optimizing customer engagement and feedback analysis.
  • Predictive analytics: forecast future trends based on historical data, aiding proactive decision-making and business intelligence strategy development.

Our generative AI development process

Droptica's generative AI development approach takes you from concept to deployed AI solution. Here's how we deliver AI solutions.

Step 1: Research and strategy

We start with a discovery workshop to understand your business challenges, identify AI opportunities, and define success metrics aligned with your business objectives. Through detailed analysis of your workflows, data sources, and existing systems, we create a tailored AI strategy and implementation roadmap.

Step 2: Architecture and planning

Our team designs the technical architecture for your AI solution: selecting optimal AI models (GPT, Claude, open-source LLMs), planning integrations with your systems, and defining data pipelines. Data preparation strategies ensure your AI models have quality input. We create detailed project specifications, timelines, and resource allocation.

Step 3: Prototype and Proof of Concept

Before full development, we build a working prototype to validate the approach. This rapid proof-of-concept demonstrates core functionality, identifies potential challenges early, and ensures the AI solution meets your expectations before significant investment.

Step 4: Development and integration

Our developers build production-ready AI solutions with clean code, comprehensive documentation, and best practices. We integrate AI models with your existing systems (CRM, databases, APIs), implement security measures, and optimize for performance and cost.

Step 5: Testing and Quality Assurance

Rigorous testing ensures your AI solution works reliably in production. We conduct security testing (prompt injection, data leaks), performance optimization, edge case handling, and user acceptance testing. Automated checks and manual QA catch issues before deployment.

Step 6: Deployment and launch

We deploy your AI solution to production infrastructure with zero-downtime releases. Comprehensive monitoring, error tracking, and performance metrics ensure smooth operation. Team training and knowledge transfer help your staff use and maintain the system.

Step 7: Optimization and support

Post-launch, we monitor AI solution performance, gather user feedback, and continuously improve. Regular updates keep models current, optimize costs, and add new features. Ongoing support ensures your AI investment delivers lasting value.

How much does generative AI development cost?

Investment in generative AI development services varies based on project scope, AI models used, integration complexity, and ongoing support requirements. What influences your investment in AI:

AI models and technology:

  • OpenAI GPT-5 API costs (variable based on usage volume).
  • Claude API (similar pricing structure to GPT-5).
  • Open-source LLMs (Llama): no API costs, requires hosting infrastructure.
  • Custom model training: one-time cost plus ongoing maintenance.

Development scope:

  • Simple chatbot with basic knowledge base integration.
  • AI integration with existing systems and workflows.
  • Custom AI agent with complex multi-step automation.
  • Enterprise solution with custom models and full-stack development.

Ongoing investment:

  • API usage costs (depends on traffic and model usage).
  • Hosting and infrastructure maintenance.
  • Support and continuous optimization.
  • Model updates and performance improvements.

Every project includes:

  • Discovery workshop to define scope and strategy.
  • Complete technical documentation.
  • Production deployment and testing.
  • Post-launch support period.
  • Knowledge transfer and team training.

Get a personalized quote for your AI project. Book a discovery workshop to discuss your needs, timeline, and investment options.

Learn more about generative AI development

Explore our articles, case studies, and guides on AI chatbot development, generative AI solutions, and AI integration services.

Frequently Asked Questions (FAQ)

Generative AI development services involve building custom AI solutions using large language models (LLMs) like GPT, Claude, or Llama. This includes AI chatbot development, AI agent creation, RAG systems, and custom AI model training. These AI solutions generate new content, automate processes, and provide intelligent insights based on your data.

A basic AI chatbot with RAG integration typically takes 4-8 weeks. This includes discovery, knowledge base setup, natural language processing configuration, testing, and deployment. Complex chatbots with multi-system integration or custom AI models may take 8-12 weeks.

GPT-5 (via OpenAI API) offers top performance but requires ongoing API costs (~€0.03 per 1K tokens). Open-source models like Llama can be hosted on your infrastructure, giving full control and no per-use costs, but require more setup and potentially lower performance. We recommend it based on your budget, scale, and privacy requirements.

Yes, our AI agency has deep Drupal expertise (10+ years). We've built AI integration services for Drupal sites, including the ProjektMagazin.de AI document chatbot. We can add AI chatbot development, content generation, or intelligent search to your Drupal CMS.

RAG (Retrieval Augmented Generation) connects AI models to your knowledge base, ensuring responses are based on your company data, not generic training. This prevents hallucinations, improves accuracy, and keeps information up-to-date. Critical for AI solutions in knowledge management, customer support, and internal tools.

We offer both generative AI development services and AI consulting. Start with a discovery workshop to define strategy, evaluate AI adoption opportunities, and create implementation roadmap. Then move to development or keep consulting-only for internal team

Our AI development services include prompt injection protection, secure API key management, data encryption, and GDPR-compliant data handling. We're ISO27001 certified and follow security best practices. All AI solutions undergo security testing before deployment.

Yes, we offer custom AI model development with fine-tuning on your data. This creates domain-specific AI models that understand your industry language, products, and processes. Investment depends on data volume, model complexity, and your specific requirements.

We provide ongoing support, monitoring, and optimization. Track AI adoption metrics, model performance, API costs. Regular updates ensure generative AI software development evolves with your needs. Support packages available tailored to your specific needs and project scope.

We define success metrics during discovery: time saved (hours → minutes), cost reduction (support tickets, manual work), revenue increase (conversion rates, upsells). Track before/after metrics, analyze AI solution impact, provide quarterly reports with actionable insights.

Choose AI agency that solves real problems

Ready to start your AI project? Partner with Droptica, AI agency that delivers measurable results.

  • What business goals do you want to achieve with generative AI?
  • What are the must-have features for your AI system?
  • Which features would be nice to have but are not essential in the first version?
  • Are there any features or AI capabilities you don’t want to include?
  • What is your estimated budget for the first version (MVP) of the AI solution?
  • Do you plan a follow-up phase or further development later?

What happens after you fill out the form?

  1. We'll analyze your message.
  2. Depending on the content - we'll either send you additional questions, or immediately set up a meeting (Google video call).
  3. The purpose of the meeting will be to better understand your needs and see how and if we can help.
  4. This will all happen within 24 hours of submitting the form.