Systems That See, Think, and Act

AI · Hardware · Operations — engineered as one

We build intelligent infrastructure for ports, factories, and facilities that run 24/7. From sensor to dashboard — one team, one system, full ownership.

Discuss Your Project

Happ Labs is a systems engineering company specializing in industrial AI and automation. We design, build, and deploy complete solutions — from camera networks and edge computing to real-time dashboards and ERP integration. Our systems run in production at ports, manufacturing plants, and commercial facilities across Ukraine and Europe.

ABOUT

A systems engineering company

We design and deploy complete systems from scratch: camera networks, edge AI, neural networks, APIs, real-time dashboards, and integration with your ERP — delivered as a single, cohesive project.

Every engagement starts with an on-site assessment. We study your facility, map your processes, and architect the system around real conditions — not theoretical diagrams.

Our team owns the entire stack: from selecting and mounting cameras to training computer vision models, building backend pipelines, and delivering a polished control interface.

We stay with you after launch. Every system includes monitoring, alerting, and dedicated support — because a system that fails on day 30 was never truly complete.

WHY HAPP LABS

What sets us apart

We operate in physical reality

Most AI companies live in the cloud. We install cameras, configure edge devices, and run cable. We know what happens when it rains, when lighting shifts, when a forklift blocks the view.

You own everything

No vendor lock-in. No recurring per-camera fees. You receive the source code, trained models, and infrastructure. Everything runs on your servers or your cloud — permanently.

Deep integration with your operations

Our systems don't exist in isolation. We integrate with your WMS, ERP, 1C, or any other platform you rely on. Data flows where it needs to — automatically, in real time.

CAPABILITIES

What we deliver

Automated Visual Intelligence

Object detection, counting, tracking, license plate recognition. From camera selection and installation to production-grade models running 24/7 on-site.

AI & Machine Learning

Custom models for classification, anomaly detection, forecasting, and NLP. Trained on your data, deployed on your infrastructure, owned by you.

Hardware & Edge Computing

Edge AI, sensor networks, industrial controllers. We handle the full stack — from physical installation to data pipeline and remote management.

High-Load Platforms & APIs

Backend systems engineered for millions of events per day. Real-time processing, WebSocket streams, queue-based architectures with 99.9% uptime.

Enterprise System Integration

Bidirectional sync with your existing business systems — ERP, WMS, 1C, SAP. We write the connectors, handle the edge cases, and maintain the data flow.

Operational Automation

Telegram bots, automated reporting, alert escalation chains, scheduled jobs. The operational layer that makes the system useful every day.

CASE STUDIES

Delivered systems

CASE STUDIES 01

Port Cargo Control

Challenge:

A maritime logistics operator needed automated container tracking with zero manual data entry.

Solution:

License plate recognition (99.1% accuracy), 3D cargo volume estimation, real-time dashboards synced with customs database. 24 cameras, 4 edge nodes.

Technical complexity:

Cameras operate 24/7 outdoors in rain, fog, and direct sunlight. Models retrained weekly to handle new plate formats.

CASE STUDIES 02

Smart Parking System

Challenge:

A 2,000-space shopping mall needed real-time occupancy tracking and automatic barrier control.

Solution:

Camera-based vehicle detection at 12 entry/exit points, live occupancy dashboard, mobile app for drivers. System paid for itself in 8 months.

Technical complexity:

Underground facility with poor lighting and tight angles. Custom model trained on 12,000+ local vehicle images.

CASE STUDIES 03

Facility Access Control

Challenge:

A manufacturing plant with 800 workers needed badge-free movement tracking across 5 security zones.

Solution:

Face recognition with edge processing, real-time zone tracking, attendance reports synced to 1C payroll. 96% accuracy with partial occlusion.

Technical complexity:

Workers wear helmets and masks. Model fine-tuned for partial face recognition, deployed on 16 edge nodes with sub-500ms processing.

CASE STUDIES 04

Fitness Analytics Platform

Challenge:

A gym chain needed automated class attendance, equipment usage tracking, and member analytics.

Solution:

Camera-based people counting, equipment zone heatmaps, Telegram notifications for trainers, admin dashboard.

Technical complexity:

High foot traffic, overlapping zones, and variable lighting. Deployed on edge devices to eliminate cloud latency.

CASE STUDIES 05

E-commerce Catalog AI

Challenge:

A marketplace with 100,000+ products needed automated categorization and description generation.

Solution:

Vision-based product recognition, auto-tagging, GPT-powered description writing, bulk processing API.

Technical complexity:

Products photographed in inconsistent conditions. Multi-stage pipeline with fallback to manual review.

PROCESS

From assessment to production in 4 weeks

WEEK 1

On-Site Assessment

We visit your facility, study the processes, map camera positions, and assess the infrastructure. You receive a technical proposal with fixed scope and investment.

WEEK 2

Architecture & Setup

We design the system architecture, procure hardware, configure the development environment, and begin model training on your data.

WEEK 3

Build & Integrate

Backend, frontend, edge processing, integrations — built in parallel. Daily demos so you see progress in real time.

WEEK 4

Deploy & Handover

On-site installation, system integration, team training, and full project handover. Monitoring and dedicated support included for 3 months.

TEAM

The engineering team

VS
Viacheslav Saloid Co-founder & Technical Lead

10 years in software engineering. Has been architecting complex automation and integration systems since 2018 — years before AI became mainstream. Leads technical architecture and client-facing engineering decisions across all projects.

AF
Andrey Furman Co-founder & CTO

7+ years in business analytics and automation, 10+ years in enterprise sales. A technical leader with a product mindset — has delivered dozens of projects from drone systems to agro and industrial IoT solutions.

IS
Igor Sobolevsky Lead Engineer

10 years in systems development with deep expertise in C++ and Python. Heads the engineering team and owns system architecture across every active project. Specializes in the hard problems others avoid.

MT
Max Terekhov Head of Design

Product and UI/UX designer with experience across AI products, enterprise dashboards, and complex digital interfaces. Shapes end-to-end product experience — from data visualization to the visual logic of industrial systems.

VH
Victoria Huba Head of Marketing

Marketing strategist with 10+ years of experience scaling technology companies across the US, Europe, and CIS. Specializes in AI, enterprise technology, and high-value service positioning.

+15

20+ specialists across computer vision, data science, DevOps, mobile development, VoIP, and physical engineering.

ENGAGEMENT MODELS

Fixed-price engagements — scoped before we start

Pilot / $10,000

  • 1 use case (plates / counting / zones)
  • Up to 8 cameras
  • Telegram notifications
  • Analytics dashboard
  • 3 months support
Ideal for

Validating the technology on a single use case before scaling

Delivery: 2-3 weeks

Production / $18,000-30,000

  • 2-3 use cases
  • Up to 20 cameras
  • ERP / WMS / 1C integration
  • Models trained on your data
  • 6 months support
Ideal for

Mid-size warehouse, manufacturing plant, network up to 10 locations

Delivery: 4-6 weeks

Enterprise / from $40,000

  • Unlimited cameras
  • All integrations
  • Custom development
  • SLA 99.5%, 24/7
  • 12 months dedicated support
Ideal for

Large-scale manufacturing, port terminals, multi-location networks

Delivery: 6-10 weeks
How we work:
  • Investment is fixed before we begin — no additional charges during the project
  • We work with your existing cameras — we don't sell equipment
  • The system is yours permanently — not a cloud subscription

Let's scope your next system

Tell us about your facility and what you want to automate. We'll respond within 24 hours with an initial technical assessment.

admin@happ.tools

Or fill out the form — we respond within one business day.