«ἀξίωμα» — a self-evident truth

Intelligent solutionsfor production and digital business.

An applied AI engineering lab. Computer vision and measurement for production and warehouses. Language systems and voice assistants for documents and communications. Custom models trained for domain-specific tasks.

An engineering team, not an integrator.

Axiomate Lab is an applied AI engineering team. We don't integrate third-party APIs — we train our own models from scratch for the customer's domain. We work the full cycle: process research, data collection and labeling, model training, infrastructure, integration, production and ongoing support.

Delivered deployments.

CV for production lines and measurement systems.

What we're deploying now — computer vision and dimensional measurement on production and warehouses. Cases will come together this year; for now we show the process and stack.

КАМ_01 · ОНЛАЙН · 30 FPSМОДЕЛЬ · yolo26-defect · 18мс
ROI · 420×130КАДР 0000Л28030Л07734Л28087ЭТИКЕТКА 0.93Л00479БАНКА-В 0.96Л29758БАНКА-Б 0.92Л35157PLC · ОТБРАКОВКА
НОРМА3БРАК1→ СОРТИРОВЩИК · АКТИВЕН
01

Контроль качества на конвейере

Промышленные камеры над линией → детекция дефектов в реальном времени → сигнал на сортировщик через PLC. Работает на edge-GPU прямо в цеху, без выхода в облако. Латентность инференса 15–25 мс.

Use cases
Контроль этикеток, крышек, недолива, посторонних включений. FMCG, фарма, упаковка.
Stack
YOLO26TensorRTModbus TCPJetson Orin
Подробнее
CV-детекция коробок с замером габаритов
02

Измеритель габаритов на лидар-камере

Собственный измеритель коробок и паллет: 3D-печатный корпус, лидар и камера в одном модуле, кастомный калибровочный код для синхронизации сенсоров. Дообучали YOLO под сегментацию коробок — миллиметровая точность без эталонов в кадре.

Use cases
Приёмка на складах, биллинг по объёму у логистов, контроль сырья на производстве.
Stack
YOLO (custom)LIDAR + RGBSensor calibration3D-printed enclosure
Подробнее

Engineering methodology.Specification, tests, documentation, support.

Every project starts with a two-week audit of the process and data. The deliverable is a technical specification with success metrics, ROI assessment, and implementation plan. If AI doesn't pay off in this case, we say so and decline.

Production is fixed-price under an approved spec. We hand over source code, model weights, documentation, and train the customer's team. SLA-based support — the model is tuned as your data and processes evolve.

01
Audit
1–2 weeks · spec, metrics, ROI
02
Prototype
2–4 weeks · on your data · metric-based acceptance
03
Production
fixed price · acceptance tests · documentation
04
Support
SLA · model tuning · monitoring

Tell us about the task.We'll answer within a day.

No scripts. On the first call we discuss context, constraints, and sign an NDA if needed.

TELEGRAM@axiomate_lab
OFFICEMoscow · remote across Russia
Axiomate Lab — Applied AI for Production and Operations | Axiomate Lab