Smart Factory
Smart Sensors • Edge Processing • Data Intelligence
Smart sensors convert machine behavior into actionable intelligence, enabling real-time monitoring, prediction, and automated decision-making at industrial scale.t
At a glance
- Multi-discipline Dev team augmented to speed up delivery
- 15-member full-stack engineering team
- Released ahead of schedule with repeat engagement from GE
About Services
Custom software development for Smart Factory
What is Smart Factory
A Smart Factory is a connected, automated manufacturing setup that runs on data, devices, and intelligent systems
Our Expertise
At WonderBiz, we helped build a solution that gives Plant Supervisors a single, integrated view of their entire plant. Real-time data from IoT sensors and subsystems enables faster, semi-automated decisions.
Our Solution
Our no-code framework sits on top of a harmonized data source, bringing together information from 35+ subsystems, including Safety, assets, production, maintenance, profit and more. It aggregates everything into one dashboard, helping supervisors access insights easily and make better decisions on the go.
Case Study
Smart Power Plant Monitoring Tool for GE's Aero-Derivatives Division
Customer: Kelvin (San Francisco) • Domain: Oil & Gas • Team: 4 • Timeline: 6 months
The Aero-Derivatives division of GE was looking to improve their After-Sales Services for their Power Plant end-users by creating engagement around data coming from their Turbines. Thus far, there was no mechanism to let the Power Plant end-users monitor the Equipment and hence scored low on the After-Sales Services.
Customer Challenge
- Enterprise Social Web App needed to be developed
- Customer wanted end-users to collaborate over data coming in from Power Plant Equipment to increase engagement.
What We Did
- WonderBiz augmented the Dev team
- Including Architects, Full Stack Developers and Test Engineers collaborating well with the onshore team to deliver ahead of time.
Dashboard view from Kelvin PCP Visualization module
Outcome
Product was released to stakeholders.Stakeholders were absolutely delighted with the User Experience of the product with repeat order to deliver another product.
Case Study — Predictive Maintenance for Chiller Plants
Customer: Facility Ops (APAC) • Domain: HVAC & Energy • Team: 5 • Timeline: 4 months
A multi-site facilities operator needed a unified edge-first solution to stream real-time sensor data from chillers, detect anomalies, and recommend energy-saving set-points—without risking latency or cloud outages.
Customer Challenge
- Fragmented BMS data and no common data model.
- Manual alarms; frequent false positives.
- Zero downtime tolerance across critical sites.
What We Did
- Built an edge gateway with buffering + offline-first sync.
- Deployed pre-trained anomaly models for chillers and pumps.
- Delivered a role-based dashboard with actionable insights.
Predictive maintenance dashboard for HVAC assets
Outcome
Sites saw measurable energy reduction and fewer false alarms. The team adopted data-driven maintenance windows, cutting unplanned downtime.
Technology
Built for real-time data, reliability, and scale.
Lightweight MV* framework for structuring browser-based data apps.
Productive JavaScript preprocessor for concise application logic.
Open-source relational database for structured plant telemetry.
Distributed key-value store for fault-tolerant sensor data pipelines.
Bi-directional channel for live sensor streaming & dashboards.
Testimonial
“One of the strongest aspects of the WonderBiz team was communication. They were clear and transparent, asked the right questions, and quickly identified who on our side could help resolve blockers.
We received tremendous value from WonderBiz in being able to spin up a capable team on short notice, delivering results that supported our Customer trial and positioned us for an exceptional project ahead.”
Testimonial
“The WonderBiz team brought strong technical depth to our predictive maintenance initiative — edge gateways, buffered sync, and pre-trained anomaly models all worked reliably across sites. Their engineering rigor reduced false alarms and helped us implement energy-saving set-points safely.
Their cross-functional approach (embedded engineers + data scientists + platform team) made deployment rapid and maintainable.”
Connect with our experts
A quick discovery call to understand goals, constraints, and success metrics—then map your fastest path to a results-driven pilot.
- Architecture outline & PoC plan
- Timeline, team composition, and cost range
- Transparent scope and delivery milestones