// AI / ML · 12 technologies

AI and machine learning: GPT, Claude, LangChain and RAG

AI now solves practical business problems: answering customers, processing documents, searching knowledge bases and automating routine work. We combine language models, vector databases and classic machine learning so the solution is accurate and pays for itself.

What we build

We bring AI into products and workflows, from chatbots to autonomous agents.

  • AI assistants and support chatbots
  • Search and answers over your knowledge base (RAG)
  • AI agents that automate work
  • Document, image and voice recognition
Business outcome

less manual work and 24/7 answers for your customers.

Technologies and what we build with them

OpenAI (GPT)

Text generation, analysis, assistants

OpenAI language models. We build chatbots, assistants, text generation and lead processing on top of them.

Claude

Long documents and agents

Anthropic language models. Strong with long documents and precise answers — we use them for assistants and text analysis.

LangChain

Chains and AI agents

A framework for LLM applications. We build processing chains, agents and integrations with external tools.

LlamaIndex

Connecting company data to LLMs

A framework for connecting your data to language models. We use it for search and answers over documents and knowledge bases.

RAG

Answers grounded in your knowledge base

An approach where the model answers from your documents. We build assistants that don’t make things up and cite sources.

Pinecone / Qdrant

Semantic vector search

Vector databases. They store semantic fingerprints of texts for fast similarity search in RAG systems.

pgvector

Vector search inside PostgreSQL

A PostgreSQL extension for vector search. It adds AI search to an existing database without a separate service.

PyTorch

Training custom models

A machine learning framework. We train and fine-tune models for client tasks: classification, forecasting, recognition.

TensorFlow

ML models and forecasting

Google’s machine learning framework. We use it for production models and running models on mobile devices.

Computer Vision

Object and document recognition

Computer vision. We detect objects, documents and faces, count products and check quality from photos and video.

Whisper / TTS

Speech recognition and synthesis

Speech recognition and synthesis. We build voice bots, call transcription and text-to-speech.

Hugging Face

Open-source models for the task

A platform for open-source models. We use ready models and deploy them on client servers for sensitive data.

Let’s talk about your project

Describe the task in the brief and we’ll send a stage-by-stage estimate. Or message us on Telegram — we reply within 30 minutes during business hours.

Start a project Telegram