Glanit

Glanit is a software development company with an in-house AI and machine learning practice. For 16 years we have designed, built and supported web, mobile and cloud systems for clients in 30+ countries, in any industry: more than 500 projects, every one delivered to acceptance.

Our core stack is Python (FastAPI, Django), JavaScript and TypeScript (Node.js, Vue, React, Next.js) and PHP (Laravel, Symfony). On top of it, our AI team builds what companies actually put into production: AI agents and assistants grounded in company documents (RAG), LLM pipelines, document AI that reads invoices and scans, forecasting and classification models, computer vision, and the MLOps around them. We start from the process and the data, not from the model: a short pilot on real data comes before any large commitment.

Work is organised around four stages: discovery, pilot or MVP, rollout, and support. We work as a fixed-scope project, a dedicated team, a team extension for your in-house engineers, or a focused AI pilot. Estimates follow a free discovery call.

Published examples include a probability engine for sports analytics (our own product, Erudil), AI knowledge assistants for a grocery chain with 30,000 employees, document AI that processes supplier invoices, catalogue classification and duplicate detection across 182,000 product cards, customer-feedback analytics across 12 sources, deep-learning MRI reconstruction, and a CS2 match-analytics platform. Each is described, with metrics and stack, on glanit.com/cases.

We also publish how we make engineering decisions (RAG versus fine-tuning, Python versus PHP versus Node.js, securing AI agents, moving off AWS Aurora) at glanit.com/insights, written by our founder, Anatoli Navahrodski.

If you need a development partner who can ship the whole system and the AI inside it, start with a free discovery call.