Plant leaders whose ERP and shop floor don’t talk to each other
When planning data lives in the ERP, and production reality lives on the floor, the two stay in sync only because someone re-enters the numbers by hand.
Manufacturers running IoT devices with no monitoring layer
When sensors collect data that never turns into a predictive maintenance alert or a decision that anyone actually acts on.
Teams in regulated manufacturing — pharma, automotive, food & beverage
When quality control and audit trails need to hold up under FDA 21 CFR Part 11, IATF 16949, or similar frameworks, and generic platforms weren’t built with that in mind.
Why off-the-shelf software keeps failing manufacturers
Generic platforms force manufacturing companies to adapt their process to the software, not the other way around. You end up with disconnected manufacturing systems, manual workarounds, and downtime you can’t predict or prevent. That’s not a configuration problem. It’s a product-fit problem, and it’s exactly what custom manufacturing software development is designed to solve.
| Situation | Problem | Solution |
| Operational data lives in spreadsheets updated hours after the fact, or not at all. | Supervisors make decisions on yesterday’s numbers, not what’s happening on the floor right now | Real-time production visibility Floor managers see what’s happening as it happens, not in a report assembled the next morning |
| Your ERP holds financial and planning data, and the production floor has no reliable connection to it. | Planning and execution stay permanently out of sync, which breaks production schedules before the week is out | ERP and the shop floor in sync When planning data and production data live in the same system, schedules stop breaking on contact with reality |
| Supplier delays hit you after they’ve already affected production. | The moment one variable shifts, production schedules collapse with no warning | Supply chain signals you can act on Inventory levels, supplier status, and material requirements talk to each other, so shortages surface before they stop the line |
| There’s no system tracking machine health or flagging degradation early. | Maintenance gets scrambled after a breakdown instead of being scheduled before one | Fewer unplanned stoppages IoT-connected equipment flags degradation before it fails, so maintenance happens on your schedule, not the machine’s |
| Reports exist. Dashboards exist. But the data behind reports and dashboards is stale, siloed, or wrong. | Nobody acts on it, because data nobody trusts isn’t a competitive advantage — it’s a checkbox | Analytics people actually use Production data flows from one connected system instead of six disconnected ones, so the numbers on the dashboard match what’s happening on the floor. |
| Defects get caught downstream, sometimes by the customer, because quality control relies on manual inspection. | Every batch is a manual exercise, and manual doesn’t scale past a certain volume | Faster, more reliable quality control Automated inspection gates catch deviations mid-process, not after a full batch has already run. |
Manufacturing execution system (MES) development
Most MES platforms are configured, not built. That means you get the vendor’s opinion of how a production floor should work, mapped onto yours. We build manufacturing execution software from scratch, connecting production planning to the shop floor in real time, structured around your shift patterns, your work order logic, and your quality gates.
ERP system integration and custom ERP development
The gap between your ERP system and the production floor is where most manufacturing data dies. We close it, connecting your ERP to MES platforms, supply chain tools, CRM, and production equipment through custom integrations built for your specific environment. If your manufacturing process is complex enough that no off-the-shelf ERP fits it, we develop one that does. For our client, Alvarez & Marsal, this meant unifying dispatch, routing, and logistics oversight data across disconnected systems — cutting data processing time by 50% and improving fleet utilization by up to 20%.
AI-powered analytics and business intelligence
Raw operational data is only useful if someone acts on it. We build AI and analytics layers on top of your manufacturing data so production planning, quality control, and resource allocation decisions are based on what’s actually happening, not instinct and experience alone.
Supply chain management software
When a supplier runs late, most manufacturers find out when materials don’t arrive. We build supply chain management software that surfaces those signals earlier — pulling inventory levels, inbound logistics status, and material requirements planning data into a single view connected to your production schedules.
IoT-enabled manufacturing systems
Connecting IoT sensors and edge devices to your manufacturing systems changes what’s possible for predictive maintenance and real-time monitoring. We handle the integration, from industrial protocols like OPC-UA and MQTT through to the application layer, where engineers and floor managers actually see the data.
Inventory management and warehouse software
Stockouts that stop production lines are almost always visible in the data before they happen. The problem is usually that nobody’s looking at the right data at the right time. Custom inventory management software tracks materials from goods-in through dispatch, with real-time stock levels and automated reorder logic that connects to your actual production demand.
Quality control and compliance platforms
Catching defects at the end of a production run is expensive. Catching them mid-process is cheaper. Catching them before they happen is the goal. We build quality-control software that captures inspection data at every stage of manufacturing, flags deviations as they occur, and maintains audit trails in a format your compliance team can actually use.
AI workflow automation for manufacturing
We automate manufacturing workflows using AI-driven routing logic and integration with your MES, ERP, and maintenance systems — so approval chains, shift handovers, and compliance sign-offs move without manual intervention. The same approach we applied for Permio, where AI-assisted parallel processing replaced manual sequential workflows across 240+ compliance environments, improving processing time by up to 200%
Mobile app for manufacturing teams
We build mobile app interfaces that put real-time production data, work orders, and quality control checklists in the hands of floor workers, not just managers at a desktop. Android and iOS, with offline capability for production environments with poor connectivity.
BeEpic: Digital tipping and appreciation app
BeEpic is a mobile app that reimagines tipping and appreciation for everyday services, where the giver and receiver may never meet in person. Geniusee helped the startup design and develop an MVP with accurate geolocation logic, asynchronous gratitude matching, and a scalable technical foundation for future enterprise integrations.
Case details
K’CIDADE Academy: How we built an AI-powered learning platform for AKF Portugal
K'CIDADE Academy is AKF Portugal's professional learning platform for civil society organizations, educators, and community leaders. Built on adaptive learning pathways, an AI virtual tutor, and a gamified progress system, it delivers personalized training to professionals working across social inclusion, education, and community development.
Case details
How we scaled a multidimensional platform for human alignment
ALIGNMETRIX focuses on measuring internal human alignment through structured, data-driven assessments. To bring this methodology into a scalable product, the company engaged Geniusee to build a mobile and admin platform with analytics and subscription management.
Case details
Scaling Edge AI & computer vision: QuantumEye real-time surveillance platform
Geniusee helped the QuantumEye AI platform that upgrades legacy CCTV with real-time detection, instant incident notifications, and decision-ready analytics.
Case details
LogisticsPro QC: Streamlining inspections and audits with modern technology
As a long-standing provider of inspection and supplier management services, Pro QC supports clients in over 88 countries with product, factory, and process evaluations. Their global reach created operational complexity that legacy, document-based workflows could no longer handle efficiently. To improve accuracy and streamline work across regions, Pro QC engaged Geniusee to design a digital system that replaces manual processes with structured, scalable workflows.
Case details
Real estateHow Geniusee helped iotspot optimize hybrid workplaces with AI and IoT analytics
iotspot is a Dutch technology company focused on enabling hybrid workplaces through IoT-powered data intelligence. Iotspot helps enterprises track workspace usage, air quality, and employee movement to design more efficient, sustainable offices. The client addressed Geniusee to modernize their platform by combining real-time IoT data, AI analytics, and an intuitive user experience. The result: a scalable, secure, and analytics-driven ecosystem that helps enterprises make informed workspace decisions.
Case details
Discovery and manufacturing requirements planning
Before any architecture decisions get made, we need to understand how your plant actually runs, not how the process documentation says it runs. We map your workflows, identify where your ERP, MES, IoT devices, and supply chain systems connect (and where they don’t), and define what the software needs to do at each stage of your manufacturing process.
Architecture and tech stack selection
Architecture decisions made early are expensive to reverse later. We define the data models, integration patterns, and infrastructure approach before development starts, and we select the tech stack based on what your environment actually needs.
Real-time data streaming if you’re pulling from IoT devices at volume. A modular structure that your internal team will maintain. Edge computing, where factory floor connectivity is unreliable.
Agile development in short, reviewable cycles
Two-week sprints. Working software in your environment within 6–8 weeks. A demo at the end of every cycle with a plain-language status update. Manufacturing requirements change once people see software running against real production data, and agile delivery absorbs that without blowing the budget. You’re not waiting six months for a big reveal that doesn’t match what you needed.
Integration with existing manufacturing systems
Connecting new software to your existing ERP systems, MES platforms, IoT devices, and supply chain tools is where most manufacturing software projects accumulate hidden risk. We treat it as a first-class engineering problem from the start (custom connectors, middleware layers, API design) rather than something that gets patched together in the final weeks before go-live.
QA across real manufacturing scenarios
Generic QA doesn’t catch manufacturing-specific failures. We test against scenarios that actually break this category of software: high-volume concurrent data ingestion, network interruptions mid-shift, edge cases in production planning logic, and permission models that span multiple shift roles. ISTQB-certified QA team throughout the development process.
Deployment, training, and ongoing maintenance services
Go-live is a managed event, not a handover email. We run operator training, support the deployment, and stay on for post-release iterations, performance monitoring, and new feature delivery. The first version of any manufacturing software is never the last; production needs change, equipment gets added, and regulations shift.
ISO 27001 certified: relevant to every regulated manufacturing audit
FDA 21 CFR Part 11, IATF 16949, and similar frameworks don’t just ask about your systems — they ask about your vendors. Geniusee is ISO 27001 certified, which means our security controls, data handling practices, and development processes are independently audited and documented. When your compliance team or an external auditor asks about the software partner behind your quality system, the answer is on file — not assembled under pressure before an inspection.
IT experts are ready to start building project for you
Certified AWS Partner delivering secure, scalable cloud-native solutions.
ISO-compliant processes ensuring quality, security, and reliability.
Trusted integration partner for financial data connectivity and open banking.
Team of ISTQB-certified QA engineers for world-class software testing.
Consistently rated ★5.0 by clients for reliability and delivery excellence.
Accredited partnership supporting advanced testing and continuous QA automation.
What’s the actual difference between custom manufacturing software and an off-the-shelf platform?
Off-the-shelf software is designed to work across a wide range of manufacturing companies, which means it’s optimized for none of them. You get fixed modules, a fixed data model, and fixed workflow logic.
Custom manufacturing software is built around your actual manufacturing process: your equipment, your production schedules, your quality control requirements, your ERP system. It costs more upfront but eliminates the ongoing cost of workarounds, manual corrections, and licensing fees for features you’ll never use.
For manufacturers with complex operations, a system built to their specifications typically delivers clearer ROI within 18–24 months.
How long does it take to develop software for custom manufacturers?
A focused MVP development, covering core MES or ERP integration functionality, typically takes 3–5 months from discovery to first deployment. A full platform with AI analytics, IoT integration, supply chain management, and mobile app capability runs 9–18 months depending on scope and integration complexity.
We structure delivery in agile sprints, so you’re running working software in your environment within the first 6–8 weeks. We’ll give you a clearer timeline estimate after an initial scoping session where we understand your manufacturing systems and priorities.
Can you integrate with our existing ERP and legacy manufacturing systems?
Yes, and this is usually where the real complexity lives. We’ve built integrations with SAP, Oracle, Microsoft Dynamics, Infor, and a range of industry-specific ERP platforms. We also integrate with legacy manufacturing systems that have no modern API — through database-level connectors, OPC-UA protocols for industrial equipment, MQTT for IoT devices, and custom middleware layers where needed.
We treat integration as a core engineering problem from day one, not a phase that gets scoped later. The goal is always a system built to behave as a coherent whole.
What does custom manufacturing software development cost?
The scope varies too much for fixed pricing to be useful here. An MVP with production tracking, basic ERP integration, and a real-time dashboard typically starts around $60,000–$120,000. A mid-complexity platform with supply chain management, IoT integration, analytics, and workflow automation runs $150,000–$400,000.
Advanced manufacturing software development, including full AI, predictive maintenance, multi-plant visibility, and custom ERP development, is scoped individually. Try our AI Estimator or talk with our team to get an approximate timeline.
Do you offer maintenance services and ongoing development after launch?
Yes, and we’d argue this matters as much as the initial build. Manufacturing software that gets launched and then abandoned is a common failure pattern. Business processes evolve, product demand shifts, new equipment comes onto the floor, and regulations change.
We offer structured maintenance services and ongoing development retainers so your software stays current, stable, and actually used. Most of our manufacturing clients work with us for 2–4 years after initial release.
How do you approach data security and compliance in manufacturing software?
Security and compliance are embedded in the development process, not added at the end. We’re ISO 27001 certified and build software systems with role-based access control, encrypted data at rest and in transit, full audit logging, and compliance with relevant regulatory frameworks, including FDA 21 CFR Part 11 for pharmaceutical manufacturers, IATF 16949 for automotive quality systems, and others.
For manufacturers in regulated industries, we design software to be validation-ready from architecture through deployment, significantly reducing the time and cost of regulatory submissions.
