JarskyLab — ML Engineering StudioRU / EN · REMOTE · UTC+3

Production-Ready ML Infrastructure

NLP and Computer Vision systems deployed in weeks, not months. Fixed-price contracts, full IP transfer, production monitoring included.

2–8 wksFrom first call to a production system
100% IPFull transfer of code, models and data pipelines
Fixed ₽/$Fixed-price contracts, agreed before we start
03 demosPublic prototypes you can explore without signup
FIG. 01 — DELIVERY PIPELINEHow a project moves through the studio
01

Data

Audit of your processes and data. We define what is automatable and what is not.

02

Prototype

A working prototype in weeks — validated on your real data, not a toy dataset.

03

Production

APIs, containers, monitoring. The system ships as a product, not a notebook.

04

Ownership

Full IP transfer and handover. Your team owns everything we built.

INPUT: raw business dataOUTPUT: production ML system
01

Technical Capabilities

Production ML systems with measurable business outcomes

  1. Natural Language Processing

    NLP

    Semantic search, document parsing, entity extraction, PII masking, and text classification

  2. Computer Vision

    CV

    Object detection, image classification, video analytics, and quality control systems

  3. MLOps & Deployment

    MLOps

    Model optimization, REST APIs, Docker containers, cloud deployment, and monitoring

02

Case Studies (some projects under NDA)

Real projects delivered for our clients

  1. Text Data Processing Automation

    NLP

    Project under NDA. Built a document processing system: classification, information extraction, and search. Result: reduced manual processing and faster data operations.

  2. Video Analytics and Object Detection

    CV

    Project under NDA. Deployed a computer vision system for video analysis and object detection. Result: automated processes and reduced manual operations.

03

Interactive Demos

Production-grade ML systems running in your browser. No signup, no waiting — see the code in action.