AI & Chatbot Solutions
We build conversational AI systems and intelligent agents with OpenAI GPT-4, Anthropic Claude and Azure OpenAI. From RAG chatbots grounded in your knowledge base to automations that take over repetitive work — production-ready AI that ships.
About this service
Artificial Intelligence is at the core of every product we build. We work with state-of-the-art models from OpenAI (GPT-4, GPT-4o), Anthropic (Claude 3.5 Sonnet), Azure AI Services and Google Dialogflow, integrated through RAG (Retrieval-Augmented Generation) architectures that ground answers in your real data.
From customer support chatbots running 24/7, to AI agents that process documents, generate reports or orchestrate complex workflows — every implementation is tailored to your business context, with cost monitoring, guardrails and fallback mechanisms for predictable behavior in production.
What we deliver
RAG conversational chatbots
Assistants that understand context and intent, grounded in your knowledge base through embeddings and vector databases (Pinecone, MongoDB Atlas Vector Search, Azure AI Search).
Autonomous AI agents
Agents that take over repetitive tasks: document processing, report generation, 24/7 support, workflow orchestration — with native integration into your existing CRM, ERP and ticketing tools.
Fine-tuning & custom embeddings
We adapt LLM models to your vocabulary, tone and expertise through fine-tuning, custom embeddings and NLP pipelines optimized for your domain.
End-to-end integration
Secure APIs, model performance and cost monitoring, fallback mechanisms and guardrails for a stable AI experience in production.
Tech stack
Top LLM models, modern AI frameworks and vector databases for implementations that scale and have predictable costs.
- OpenAI GPT-4
- Anthropic Claude
- Azure OpenAI
- Google Dialogflow
- LangChain
- LlamaIndex
- Pinecone
- MongoDB Atlas Vector Search
- Python
- TypeScript
Frequently asked questions
How long does it take to ship an AI chatbot?
A working RAG chatbot grounded in your knowledge base takes 3-6 weeks from kickoff to production. Complex solutions with autonomous agents and multiple integrations can take 8-12 weeks.
Which AI model do you choose for my project?
It depends on use case, costs and privacy requirements. For general applications we recommend GPT-4o or Claude 3.5. For sensitive data or lower costs, Azure OpenAI with private deployment or self-hosted open-source models.
How do you manage LLM model costs?
We implement smart caching, retry logic, token usage monitoring and fallback to cheaper models for simple queries. Costs are visible in real-time on a dashboard, with alerts when budgets are exceeded.
How do you protect customer data in AI applications?
We use private deployments (Azure OpenAI, AWS Bedrock), end-to-end encryption, guardrails against prompt injection and GDPR compliance. Your data is not used to train models.
Ready to integrate AI into your business?
Tell us what you want to automate or improve with AI. We respond within 24 hours with a free assessment and an initial plan.
Get a quote