Factory intelligence

for real-time

Insight and action

Transforms production data into real-time understanding, guidance, and continuous operational improvement.

Sound Sensor
Analyzes acoustic patterns to identify anomalies and ensure smooth operations.
Vibration Sensor
Continuously monitors machinery to detect and diagnose issues before they become critical.
Thermal Camera
Identifies temperature variations to prevent equipment failures and optimize operations.
Optical Camera
Infrared Camera
Detects anomalies in low-light conditions for reliable monitoring and quality control.
Optical Camera
Provides real-time visual monitoring to identify inefficiencies and defects instantly.
Sound Sensor
Analyzes acoustic patterns to identify anomalies and ensure smooth operations.
Vibration Sensor
Continuously monitors machinery to detect and diagnose issues before they become critical.
Thermal Camera
Identifies temperature variations to prevent equipment failures and optimize operations.
Optical Camera
Infrared Camera
Detects anomalies in low-light conditions for reliable monitoring and quality control.
Optical Camera
Provides real-time visual monitoring to identify inefficiencies and defects instantly.
Sound Sensor
Analyzes acoustic patterns to identify anomalies and ensure smooth operations.
Vibration Sensor
Continuously monitors machinery to detect and diagnose issues before they become critical.
Thermal Camera
Identifies temperature variations to prevent equipment failures and optimize operations.
Optical Camera
Infrared Camera
Detects anomalies in low-light conditions for reliable monitoring and quality control.
Optical Camera
Provides real-time visual monitoring to identify inefficiencies and defects instantly.
Sound Sensor
Analyzes acoustic patterns to identify anomalies and ensure smooth operations.
Vibration Sensor
Continuously monitors machinery to detect and diagnose issues before they become critical.
Thermal Camera
Identifies temperature variations to prevent equipment failures and optimize operations.
Optical Camera
Infrared Camera
Detects anomalies in low-light conditions for reliable monitoring and quality control.
Optical Camera
Provides real-time visual monitoring to identify inefficiencies and defects instantly.

See. Understand. Act.

One system that watches your lines, explains what is happening, and guides your team on what to do next.

Let's Talk

Problem

Factories run on fragmented signals, not clear context

Hidden quality and performance losses

Issues show up only as scrap, rework, missed targets, or complaints — not while they are still small and cheap to fix.

Hidden quality and performance losses

Issues show up only as scrap, rework, missed targets, or complaints — not while they are still small and cheap to fix.

Hidden quality and performance losses

Issues show up only as scrap, rework, missed targets, or complaints — not while they are still small and cheap to fix.

Hidden quality and performance losses

Issues show up only as scrap, rework, missed targets, or complaints — not while they are still small and cheap to fix.

Data trapped in disconnected systems

Machine logs, production reports, QA records, and SOPs sit in separate tools, making it hard to see what actually happened on a line.

Data trapped in disconnected systems

Machine logs, production reports, QA records, and SOPs sit in separate tools, making it hard to see what actually happened on a line.

Data trapped in disconnected systems

Machine logs, production reports, QA records, and SOPs sit in separate tools, making it hard to see what actually happened on a line.

Data trapped in disconnected systems

Machine logs, production reports, QA records, and SOPs sit in separate tools, making it hard to see what actually happened on a line.

Slow, inefficient problem resolution

With data spread across systems, root-cause analysis and fixes take too long, so scrap and downtime run longer and margins suffer.

Slow, inefficient problem resolution

With data spread across systems, root-cause analysis and fixes take too long, so scrap and downtime run longer and margins suffer.

Slow, inefficient problem resolution

With data spread across systems, root-cause analysis and fixes take too long, so scrap and downtime run longer and margins suffer.

Slow, inefficient problem resolution

With data spread across systems, root-cause analysis and fixes take too long, so scrap and downtime run longer and margins suffer.

Factories Struggle to Modernize Operations

SOLUTION

Factory Intelligence System

Earlier visibility into issues

Combines visual data from the line with key production signals into a live view of each workstation, so emerging problems are visible in context.

Earlier visibility into issues

Combines visual data from the line with key production signals into a live view of each workstation, so emerging problems are visible in context.

Earlier visibility into issues

Combines visual data from the line with key production signals into a live view of each workstation, so emerging problems are visible in context.

Earlier visibility into issues

Combines visual data from the line with key production signals into a live view of each workstation, so emerging problems are visible in context.

Unified context for root cause

Brings events, process data, QA results, and documents into one timeline, making it easier to understand why performance or quality changed.

Unified context for root cause

Brings events, process data, QA results, and documents into one timeline, making it easier to understand why performance or quality changed.

Unified context for root cause

Brings events, process data, QA results, and documents into one timeline, making it easier to understand why performance or quality changed.

Unified context for root cause

Brings events, process data, QA results, and documents into one timeline, making it easier to understand why performance or quality changed.

Guided actions and measurable impact

Turns detections into concrete, SOP grounded actions and tracks the effect on scrap, downtime, and OEE so teams see what actually works.

Guided actions and measurable impact

Turns detections into concrete, SOP grounded actions and tracks the effect on scrap, downtime, and OEE so teams see what actually works.

Guided actions and measurable impact

Turns detections into concrete, SOP grounded actions and tracks the effect on scrap, downtime, and OEE so teams see what actually works.

Guided actions and measurable impact

Turns detections into concrete, SOP grounded actions and tracks the effect on scrap, downtime, and OEE so teams see what actually works.

Integrated IIoT Ecosystem

Software Platform

Plug-and-Play Integration

Adapts effortlessly to existing ERP/MES systems, eliminating the need for custom setups.

Deploy seamlessly in industrial environments with support for standard protocols and effortless integration into tools like SAP or Oracle, making setup truly plug-and-play.

No-Code AI Constructor

Track operations continuously and receive immediate updates, helping you detect and resolve issues as they arise.

Comprehensive Insights

Enjoy fast onboarding, intuitive training, and dedicated assistance to make adoption smooth and ensure your team gets the most out of the system.

Accessibility Anywhere

Earlier signals. Clear priorities.

DOT surfaces emerging quality and performance issues sooner by watching visual and process signals together, so teams focus on the problems that matter most.

From symptom to root cause – faster.

The platform lines up events, production data, QA results, and documents in one place, making it easier to see what changed and why a line or station slipped.

Take the right action at the line.

DOT turns findings into concise, SOP-grounded steps for the right roles on the floor, reducing trial-and-error and getting fixes in place faster.

Learn from every incident.

Every issue, action, and outcome is captured so you can see the effect on scrap, downtime, and OEE, standardize what works, and roll improvements across lines and sites.

KEY features

What you can do
with DOT

Discover what sets us apart

Automate visual checks on the line

Use line cameras to continuously detect visual defects and process deviations instead of relying only on manual or end-of-line inspection.

Give stations a reasoning assistant

Provide each critical workstation with an assistant that explains issues in context and suggests next steps based on your SOPs and technical docs.

See root cause in one timeline

Review a single timeline that links events, quality results, and operating conditions, so cross-functional teams can agree on root cause faster.

Track impact in OEE, scrap, and downtime

Measure how fixes change FPY, scrap, downtime, and OEE at line and station level, instead of guessing whether actions really helped.

Work with your existing systems

Connect DOT to line cameras and, where available, PLC, MES, and QA systems, without replacing your current production stack.

Capture and reuse process knowledge

Record issues, root causes, and effective fixes with evidence so future shifts can resolve similar problems faster instead of reinvestigating.

Team & Expertise

Daniil Taraskin

CEO

Founded and scaled a creative agency to 1.5M annual revenue and 50 employees before successfully exiting by selling his stake. Proven track record in leading teams, building businesses, and navigating complex markets.

Daniil Taraskin

CEO

Serhii Voronov

CTO

With 10+ years in embedded development, Serhii has pioneered wireless industrial devices at CIIRC, collaborating with T-Mobile and Continental on cutting-edge industrial automation projects, including 5G IIoT modules.

Serhii Voronov

CTO

Oleg Stovik

CBD

Oleg Stovik

CBD

With nearly a decade in U.S. manufacturing, Oleg has led large CAPEX and automation projects at ASML and other industrial clients, from new lines to major upgrades. He brings a deep understanding of plant economics, payback, and stakeholder management to DOT’s pilots and rollouts.