AI · Computer Vision · Data Science

We turn video streams and data into decisions

We design, train and ship computer vision and machine learning models to production — from a single-camera pilot to an inference cluster serving thousands of streams.

Discuss a project See our work

Teaching machines to see

01
A pilot in four to six weeks, on your infrastructure and your data
02
Quality metrics fixed in the contract, not in a slide deck
03
Source code, model weights and documentation stay with you

40+projects taken to production

3 500cameras under analytics

120models in the registry

8years of average engineer experience

Our product · C3PIO Tracker

An AI development team that works while you sleep

An architect, developers, tester and reviewer take a task from the tracker to finished code in your GitLab.

1,175tasks merged into code in 54 days
0.5days from task to production
≈ RUB 8,000per month for models versus RUB 7.5m in payroll

October 13, 2026 · Our own C3PIO installation. Tracker data for the stated period. (Раздел «Продукты»: спецификация)

Explore the tracker Plans

Main videoWhat the tracker does and what it costs Vertical versionFor phones and social channels Full versionAn in-depth look for technical teams

01Services

What we do

Five practices covering the path from problem statement and data labeling to running models under production load.

Computer vision and video analytics

Real-time detection, tracking and event classification on existing cameras.

Learn more 02

LLM and natural language processing

Assistants, document data extraction and multimodal models for business tasks.

Learn more 03

Predictive analytics and ML models

Demand, equipment failure and anomaly forecasting from historical and telemetry data.

Learn more 04

MLOps and inference infrastructure

A model registry, reproducible training runs and inference that holds the load.

Learn more 05

Data labeling and preparation

Production-grade datasets with annotator agreement under control.

Learn more

All services

02platform

The C3PIO platform

Five modules a deployment is assembled from. Take the whole stack or a single piece — everything runs on your own infrastructure.

C3PIO Core

Inference engine: task queue, batching, autoscaling and one API across every model.

engine

C3PIO Lens

Image and video processing: stream decoding, preprocessing, augmentation, camera calibration.

vision

C3PIO Grid

Data and analytics: event marts, model quality metrics, dashboards for operations teams.

data

C3PIO Sentry

Real-time monitoring: data drift, accuracy degradation, alerts and on-call playbooks.

monitoring

C3PIO Flow

Pipelines: from labeling and training to shipping a new model version without downtime.

pipelines

03c3 · pio

What the name encodes

C3PIO decodes twice: three pillars of the technology, and three things the system does to a stream of data.

C3three pillars of the technology

1
Computer Vision
Pulling meaning out of a frame: detection, segmentation, tracking, text and object recognition.
2
Cloud
Inference runs where you need it: in the cloud, on your own servers, or at the edge next to the camera.
3
Cognition
Wiring recognition into business logic: rules, events, reports, integration with your systems of record.

PIOwhat the system does with data

1
Perception
Cameras, sensors, documents and logs — anything that can be turned into a signal.
2
Intelligence
Models that decide within tens of milliseconds and can explain the decision.
3
Optimization
Less downtime, scrap and manual checking — measured in your own numbers.

04Projects