Cortex IT cases
Client projects in production, and our own tools
Client work: a RAG assistant inside Bitrix24, AI scoring for sales calls, computer vision on dairy farms, contract review and counterparty checks. Below those, our own products and open-source repositories. Every case lists the stack, the technical decisions and the go-live date.
Client projects
- Woodworking and metalworking machinery distributor
Machinery distributor: a RAG assistant inside Bitrix24
Reps at a machinery distributor get an answer on any machine model inside Bitrix24 in seconds, instead of digging for minutes through 11,000 files. Live since 05.2026.
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- B2B sales, Bitrix24
Call analytics in Bitrix24: AI scoring for 100% of calls
The sales director could review 5-10% of calls. Now AI scores every call against the company's own rubric and posts the result to the Bitrix24 deal card. Recordings never leave the client's servers.
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- Dairy cattle farm
Dairy farm: identifying cows from photos and video
A CV system that identifies cows from a photo (mobile app, 78%) and from a live video feed (Re-ID).
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- Dairy cattle farm
Dairy farm: automatic detection of key events, 24/7
Key events in the barn are detected from video, and the herd manager gets a warning ahead of time, nights included. Runs on the farm with no cloud: 1,000+ head, more than 50 cameras.
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- Service for brokers and developers
Real-estate agency: an AI property search assistant
A Telegram bot for agents: plain-language property search, a client profile that works like a CRM, and ready-made sales arguments.
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- Parcel delivery service
Parcel delivery: a RAG support assistant on Telegram
A RAG support assistant on Telegram over a 550-document delivery knowledge base. Answers customers instantly and hands off harder cases to a human operator with full dialog context.
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- Legal function, contract work
AI contract review: template diffing and risk flagging
First-pass contract review: key fields extracted, clause-by-clause diff against a reference template, risky wording flagged with an explanation. From 1-2 hours of reading to a report in minutes.
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- Due diligence, counterparty screening
Counterparty check: registries and sanctions lists
A tax ID goes in, a structured counterparty report comes out — sourced, linked, and rated green, yellow or red. From hours of manual searching to a report in minutes.
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- Automation and AI integration contractor
AI scoring for tenders: from 80-120 postings a day to 3-5
Monitoring procurement and project boards across two sources: postings parsed, the brief scored 0-10 by an LLM, HOT and WARM sent to Telegram. Monitoring used to take 2-3 hours a day.
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- Rentals and accommodation, several independent platforms
Availability calendar sync with channels that offer no API
Channels without an API: booking notification emails are parsed and merged into one Google Calendar. Double-booking protection where no integration officially exists.
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Our own products and open source
Tools Cortex IT built to run its own processes, plus repositories you can read line by line — something client projects never allow.
- Web development and infrastructureCortex IT internal product
cortexit.ru: from content strategy to our own deployment
The company site on our own code and our own server: content strategy, design system, front end, Schema.org markup for AI search engines, deployed to an Ubuntu VPS.
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- Computer vision, segmentationOpen source
Floor plan vectorisation: raster to walls and openings
A segmentation model turns a scanned floor plan into vector data — polygons for walls and openings. Source code is open and covered by tests.
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- Backend, request distributionOpen source
Automatic ticket routing: a mini-CRM for operators
The service distributes incoming tickets across operators by competence weights and current load, with no manual assignment. Source code is open and covered by tests.
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- Data processing, classification without an LLMOpen source
Job title classifier: noisy 1C exports to a reference list
A deterministic pipeline matches noisy job titles from a 1C export against a closed classifier — no LLM, no embeddings, no external APIs. Source code is open and covered by tests.
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