We build digital systems that drive manufacturing forward.
- IoT dashboards and real-time production monitoring systems
- Predictive maintenance — reduce unplanned downtime by 30-40%
- AI in quality control, process optimization and demand forecasting
- Integrations: MES, ERP (SAP/Oracle), SCADA, OPC-UA, MQTT
- Full code ownership — zero vendor lock-in
IoT dashboard: 6 weeks → MVP, 40% fewer unplanned downtimes
No obligations. NDA on request. Response within 24h.
Every month without digitalization costs you efficiency, quality and competitive edge.
- Paper-based production reports — data outdated before it reaches management
- Equipment maintenance based on schedule, not condition — costly downtimes
- No real-time OEE visibility — decisions made on gut feeling
- Data silos: MES, ERP, SCADA don't communicate with each other
Source: McKinsey — digital leaders in manufacturing achieve 20-30% higher OEE.
Manual processes vs. digital automation
3 pillars of digital transformation for manufacturing.
Dedicated platforms and dashboards
IoT dashboards, MES systems, quality control panels, supplier portals. Full-stack TypeScript, real-time websockets, edge + cloud architecture.
Performance and data processing
Processing millions of sensor readings/min. Time-series DB, stream processing, edge computing. Dashboard loads in <2s even with 10k+ data points.
AI and intelligent automation
Predictive maintenance, anomaly detection, computer vision for quality control, demand forecasting. RAG chatbots for operator support on the shop floor.
Results you can verify.
Problem
Production monitoring on paper-based reports. Downtimes detected with 4h delay.
Was wir getan haben
IoT dashboard integrating 200+ sensors, real-time OEE, automated alerts.
OEE: 67% → 82%, downtime −35%
Problem
Quality control based on manual inspection. 5% defects after delivery.
Was wir getan haben
Computer vision system on the line + AI anomaly detection. Quality dashboard with real-time SPC.
Customer defects −80%, savings 400k PLN/yr
Problem
Legacy MES with 12s response time. Reports done in Excel.
Was wir getan haben
New MES dashboard with SAP integration. Pipeline optimization, automated reporting.
Response 12s → 0.8s, reporting: 2 days → real-time
From diagnosis to result — no guessing.
Each step has a measurable deliverable. You know what you're getting before we start.
Audit & Discovery
OT/IT systems mapping, KPI baseline, integration audit. Pain point analysis and target setting.
Architecture & Scope Lock
IoT architecture design, API contract definition, integration plan. Fixed scope document — no scope creep.
Build sprints + demos
2-week sprints with working demo after each. Sensor integrations, dashboard modules, data pipelines. Daily standups.
QA, release & pilot
Full regression, security scan, pilot on production line. Blue-green deployment, rollback plan, performance validation.
Maintenance & Growth
SLA-based support, monitoring, new features. Knowledge transfer to your team or continued development partnership.
Definition of Done
- 80%+ test coverage (unit + E2E)
- All OT/IT integrations verified
- Security scan passed (OWASP)
- Pilot on production line completed
- Performance budgets met (CWV green)
- Knowledge transfer completed
Packages for digital transformation of manufacturing.
IoT Dashboard
Real-time production monitoring
8-12 weeks
- IoT sensor integration
- OEE dashboard with real-time data
- Automated alerts & notifications
- Trend analysis & historical data
- Mobile-responsive interface
- ERP API integration
Predictive Maintenance
AI-driven equipment care
12-18 weeks
- ML models for failure prediction
- CMMS integration
- Maintenance dashboard
- Smart alerts & scheduling
- Cost optimization reports
MES Integration
Modern MES dashboard
10-16 weeks
- MES dashboard with real-time data
- SCADA/OPC-UA integration
- SAP API connector
- Automated reporting
- Role-based access control (RBAC)
Quality Control AI
Computer vision + SPC
12-20 weeks
- Computer vision defect detection
- Statistical Process Control (SPC)
- Anomaly detection AI
- QMS integration
- Compliance & audit trail
Final price depends on system complexity and number of integrations. Free estimate after consultation.
What's included in the price
- Full source code ownership
- Git repo with complete history
- CI/CD pipeline setup
- Staging + production environments
- Knowledge transfer session
- Post-launch support (30 days)
What we DON'T do
- "Quick fixes" without measuring results
- Integrations without API contract
- Copy-paste templates without customization
- Promises without data and timeline
Stack and integrations for manufacturing.
Frontend
Backend & API
Integrations
Infrastructure
Full code ownership. Your repo, your infra — zero vendor lock-in.
Most common concerns — our ironclad principles.
FAQ: production digitalization, IoT systems, MES platforms.
- OEE (Overall Equipment Effectiveness)
- A key manufacturing metric that measures production efficiency by combining availability, performance, and quality. World-class OEE is typically 85%+.
- MES (Manufacturing Execution System)
- Software that tracks and documents the transformation of raw materials to finished goods. MES bridges the gap between ERP planning and shop floor operations.
- Predictive Maintenance
- An AI-driven approach to equipment maintenance that uses sensor data and machine learning to predict failures before they occur, reducing unplanned downtime by 30-50%.
Ready to digitize your production?
You'll get: systems audit, integration plan, quote. NDA on request. Zero spam.
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