OpenAI (GPT)
OpenAI language models. We build chatbots, assistants, text generation and lead processing on top of them.
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.
We bring AI into products and workflows, from chatbots to autonomous agents.
less manual work and 24/7 answers for your customers.
OpenAI language models. We build chatbots, assistants, text generation and lead processing on top of them.
Anthropic language models. Strong with long documents and precise answers — we use them for assistants and text analysis.
A framework for LLM applications. We build processing chains, agents and integrations with external tools.
A framework for connecting your data to language models. We use it for search and answers over documents and knowledge bases.
An approach where the model answers from your documents. We build assistants that don’t make things up and cite sources.
Vector databases. They store semantic fingerprints of texts for fast similarity search in RAG systems.
A PostgreSQL extension for vector search. It adds AI search to an existing database without a separate service.
A machine learning framework. We train and fine-tune models for client tasks: classification, forecasting, recognition.
Google’s machine learning framework. We use it for production models and running models on mobile devices.
Computer vision. We detect objects, documents and faces, count products and check quality from photos and video.
Speech recognition and synthesis. We build voice bots, call transcription and text-to-speech.
A platform for open-source models. We use ready models and deploy them on client servers for sensitive data.
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.