PRAXIMOND AI

AI that actually
works in production.

We build AI products and integrate LLM-based automation into real business workflows. No POCs that never scale. From design to production with observable, measurable systems.

17+ AI projects
< 200ms API latency
92% Accuracy avg.
Start AI evaluation

AI use cases we build

Conversational AI & Chatbots

LLM-powered agents integrated into your product. Customer support, internal knowledge bases, onboarding assistants with context and memory.

Document Processing & RAG

Retrieval-Augmented Generation systems that let your users query contracts, reports and manuals with natural language.

Predictive Analytics

Machine learning models for churn prediction, demand forecasting, fraud detection and operational risk scoring.

Process Automation with AI

Intelligent workflows that classify, route and process documents, emails and transactions without human intervention.

AI-Powered Search

Semantic search and recommendations for e-commerce, content and SaaS platforms using vector embeddings.

Fine-tuning & Custom Models

Domain-specific model training with your proprietary data. Medical, legal, financial and industrial applications.

AI tech stack

LLM Providers

  • OpenAI GPT-4o
  • Anthropic Claude
  • Mistral
  • Llama 3

Frameworks

  • LangChain
  • LlamaIndex
  • Haystack
  • Semantic Kernel

Vector Stores

  • Pinecone
  • Weaviate
  • pgvector
  • Chroma

Infrastructure

  • AWS Bedrock
  • Azure OpenAI
  • Vertex AI
  • Hugging Face

Frequently asked questions

What types of AI solutions do you implement? +
We build conversational AI (chatbots, LLM-powered assistants with memory), RAG document processing systems, predictive analytics for churn and demand, and intelligent process automation for classification, routing, and data extraction.
How long does an AI integration take? +
A focused AI feature (e.g. a chatbot or document Q&A system) typically takes 4–8 weeks. A full AI-powered product like DoctorMBS — our medical AI with 5,000+ questions generated and 35% improved exam approval rates — took 12 weeks from kickoff to production.
Do you support human-in-the-loop review workflows? +
Yes. We design AI systems with human oversight checkpoints, confidence thresholds, and escalation workflows built in. This is especially important for healthcare, legal, and financial applications where AI decisions require human sign-off.

Ready to add AI
to your product?

We'll evaluate your use case and propose a production-ready AI architecture — no commitment.

Start AI evaluation → Request proposal