Machine sensing
Capture the right signals for the asset and failure mode.
- Vibration
- Temperature
- Operating hours
Industrial IoT & Predictive Maintenance
See equipment problems before they become downtime
Start by making machine condition visible. We connect suitable sensors and equipment data, establish a trustworthy baseline, and build the alerts and maintenance workflows teams can actually use. Predictive models follow when the data supports them.
Hardware, firmware, cloud and product experience in one delivery plan
Selected brands and digital delivery experience
Услуги
What we deliver with Industrial IoT & Predictive Maintenance
Industrial gateways
Move data from machines and sites into a controlled platform.
- Protocol fit
- Edge buffering
- Segmentation
Condition dashboards
See trends, anomalies and asset history at a glance.
- Asset views
- Trend lines
- Context
Maintenance alerts
Turn conditions into timely review and action.
- Thresholds
- Escalation
- Work orders
Predictive analytics
Model failure risk only after data quality and history are sufficient.
- Baseline
- Validation
- Human review
Rollout support
Expand from one asset class to sites and fleets with clear governance.
- Pilot
- Training
- Мониторинг
Архитектура
Industrial IoT & Predictive Maintenance architecture from device to decision
400+
Проекты
3+
Years
20+
Markets
Production-gradeСоздано для Масштабирования
01
Asset context
Understand the machine, operating cycle and costly failure modes.
- Criticality
- Failure modes
- Baseline
02
Sensing and edge
Collect condition data without disrupting safety or production controls.
- Sensors
- Gateway
- Network boundaries
03
Analytics
Use thresholds first, then validated anomaly and predictive models where justified.
- Data quality
- Models
- Проверка
04
Maintenance workflow
Deliver actionable context to technicians and managers.
- Alerts
- Work orders
- Feedback
Процесс
How we deliver Industrial IoT & Predictive Maintenance
A clear, senior-led process from the first strategy call to launch, so every build ships on time and turns into measurable outcomes.
Step 01
Discover the real environment
Map the business outcome, users, site conditions, connectivity, device constraints and security requirements before selecting hardware.
Step 02
Prototype the critical path
Validate sensing, firmware, data flow and the most important user action with real devices and representative conditions.
Step 03
Pilot with clear measures
Test reliability, data quality, usability and support processes in a controlled deployment before a wider rollout.
Step 04
Launch and operate
Document ownership, monitor the system, plan updates and improve it using field evidence rather than assumptions.
Connected system deliveryBuilt for the field,
Built for the field,
not just the lab
We plan sensing, connectivity, data quality, security and human response together so the connected product is useful in real operations. Мы отдаём приоритет более понятному потоку намерений, более быстрым решениям и измеримым улучшениям на ценных страницах.
Каждый продукт создаётся на основе современного, проверенного технологического стека, чтобы оставаться быстрым, безопасным и легко масштабируемым. От фронтенд-фреймворков до баз данных и DevOps, мы выбираем правильный инструмент для каждого уровня и поддерживаем код чистым и удобным для сопровождения.
Real-world constraints
Secure device identity
Reliable data pipeline
Чистый, поддерживаемый код
Мобильный и отзывчивый
SEO-готовая архитектура
Безопасный и масштабируемый дизайн
Industrial IoT & Predictive Maintenance solution blueprints
Practical systems we can design around your operation
Discuss this blueprint →
Manufacturing · Solution blueprint
Motor condition pilot
Capture vibration and temperature trends on selected assets before a wider deployment.
Pilot assetsBaselineAlerts
Discuss this blueprint →
Facilities · Solution blueprint
Multi-site equipment visibility
Compare critical asset health and open issues across locations.
Site overviewHistoryTriage
Discuss this blueprint →
Operations · Solution blueprint
Maintenance data platform
Connect readings and maintenance records so condition signals have operational context.
Equipment dataWork ordersПроверка
Why a connected system needs more than a working prototype
Производительность не обсуждается
The hard part is making devices, data and people work together reliably after launch.
Device-to-dashboard ownership
One connected plan
Device-to-dashboard ownership
One connected plan
Security by design
Lifecycle controls
Security by design
Lifecycle controls
Pilot before scale
Evidence first
Pilot before scale
Evidence first
Operational clarity
Built to support
Operational clarity
Built to support
Choose the right starting point
Feasibility & Prototype
- Use-case and site review
- Architecture and component options
- Working proof of concept
- Pilot and cost roadmap
Самый Популярный
Pilot-to-Production Build
- Hardware and firmware development
- Cloud, app and dashboard build
- Security and integration testing
- Controlled field pilot
Fleet Support & Evolution
- Device and platform monitoring
- Updates and issue response
- Data and cost optimisation
- New feature releases
Testimonials
AI outcomes from teams automating real work
Deployed a multi-intent support chatbot with escalation routing, qualification logic, and CRM sync, so repetitive queries stopped eating the team's day and sales-ready conversations surfaced faster.
SA
Support Automation
AI Chatbot Implementation
Response speed +61%, support load -34%
Built an AI-assisted SEO operations workflow that flags technical issues and drafts fixes, cutting the gap between finding a problem and shipping the fix.
AO
AI SEO Operations
SEO Automation
Fix turnaround -42%, organic leads +33%
Set up an AI blog generation pipeline with review checkpoints, lifting publishing output sharply without letting quality slip through the cracks.
CP
Content Pipeline
AI Blog Generator
Posts/month +220%, publish cycle -58%
Built an AI landing-page generation flow that spins up test-ready pages fast, so conversion experiments launch in a fraction of the usual time.
LA
Landing Automation
AI Website Generator
Launch speed +64%, conversion uplift +26%
Industrial IoT & Predictive Maintenance FAQs
A new deployment can start with monitoring and thresholds. Predictive models need enough reliable, representative failure and operating data to validate useful predictions.
Connected capabilities
