- Multi-Protocol Driver Integration. We build software adapters for Modbus, Ethernet/IP, Profinet, and OPC UA, enabling legacy machines to stream data without hardware costs.
- Sparkplug B Namespace Design. We map tags into a Sparkplug B namespace, converting flat register streams into a self-describing, searchable topic hierarchy.
- Canonical Data Modeling. We define explicit contracts so data from 1999 Modbus PLCs and 2024 OPC UA controllers arrive in identical, consumable formats.
- Edge Data Persistence. We implement local buffering to prevent data loss during network drops, making legacy data reliable enough for executive decisions.
- Non-Disruptive Deployment. We deploy in read-only passive mode to validate against HMI values before cutover, ensuring zero production downtime.
Edge-IIoT Automation Services
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DOMINATE THE TARIFF BARRIER
Convert reshoring pressure into a structural cost advantage. We deploy automation that makes domestic production your high-margin choice
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BREAK OUT OF PILOT PURGATORY
Transition IIoT from fragile PoCs to multi-site production. We deliver hardened architectures built for the floor and proven under load
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SECURE YOUR OT INFRASTRUCTURE
Architect for Zero-Trust from the shop floor up. We segment critical systems and harden industrial endpoints to reduce security blind spots
Why Choose Devox Software?
What We Offer
IT/OT Alignment
Architecting for corporate security review upfront facilitates seamless integration between industrial equipment and IT infrastructure.
Legacy System Interoperability
Custom middleware enables 15-20 year-old assets to communicate with modern edge platforms, preserving long-term capital investments.
Protocol Unification
A unified integration layer standardizes Ethernet/IP, Profinet, OPC UA, and Modbus RTU into a single, actionable data stream.
Cost Optimization
Edge compute sizing aligns infrastructure spend with actual data requirements, ensuring project viability during budget reviews.
Specialized Engineering Squads
Rapid deployment of hybrid talent proficient in software engineering and line physics bypasses the talent acquisition bottleneck.
Knowledge Codification:
Capture and institutionalize retiring expert knowledge into the system to maintain operational continuity and ground truth.
Rapid Deployment:
Production-ready Edge AI enables immediate innovation, mitigating the risk of extended pilot phases.
Data Foundation Rectification
Clean data foundations ensure predictable AI performance by filtering operational noise prior to model training.
Our Edge
Challenges We Overcome
- Modernize
- Build
- Innovate
Legacy PLCs locking your data?
Our edge computing solutions for manufacturing bridge protocols without swaps.
Rigidity in platforms?
We build microservices that plug into ERP/MES without lock-in.
ISA-95 mess?
We install an event-driven single source of truth.
Security reviews stalling projects?
We apply Edge AI software development best practices for secure segmentation.
Talent gap?
We embed hybrid engineers in two weeks with knowledge transfer.
Fragile integration mess?
We define explicit contracts for every data exchange, replacing brittle custom code with robust messaging standards.
Are pilot projects failing to reach production?
Edge AI development requires production-first scaling.
Are cloud costs becoming unmanageable?
We keep inference at the edge to match costs with value.
Tariffs squeezing margins?
We use automation to improve throughput and make reshoring more profitable.
What We Deliver
Edge and IIoT Automation Services We Provide
Edge and IIoT automation services involve designing and developing software that connects industrial machines, sensors, gateways, controllers, and enterprise systems to automate operations and process data closer to where it is created. Instead of sending every signal to the cloud, edge and IIoT solutions process critical data locally on edge devices, factory gateways, or industrial controllers. This helps manufacturers, logistics providers, energy companies, and asset-heavy businesses monitor equipment in real time, automate responses, reduce latency, and keep operations running even when connectivity is limited.
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Legacy PLC Data Bridge Development
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UNS Data Backbone
- MQTT Broker Infrastructure. We right-size HiveMQ, EMQX, or Mosquitto for your scale, establishing a high-throughput message backbone sized for production load.
- ISA-95 Namespace Architecture. We design a namespace tree where tag addresses are intuitive, consolidating scattered data into a single source of truth.
- Event Stream Persistence. We use Apache Kafka to persist event streams, allowing history replay and ensuring no message disappears if a consumer fails.
- Producer and Consumer Onboarding. We provide standardized templates to plug in new operational assets or analytics tools in days rather than months.
- Report-by-Exception Architecture. We enforce consistent schemas and report-by-exception publishing to keep bandwidth utilization low and broker load predictable.
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Computer Vision Quality Control
- Defect Detection Model Training. We train custom models on your actual shop-floor images, catching specific defects that generic off-the-shelf vision systems miss. See how we built a simulation and testing framework that improved validation efficiency for safety-critical automotive systems.
- OpenCV Vision Pipeline. We build full inference pipelines using OpenCV and custom models tuned to your part geometry and surface specs.
- Edge-Native Inference Deployment. Our Edge AI for manufacturing approach runs inference directly on the line, enabling sub-second defect detection.
- Real-Time Yield Analytics. We stream aggregated stats—not raw images—to the cloud, giving managers real-time yield dashboards without the bandwidth costs.
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Predictive Maintenance Intelligence
- Sensor Signature Baselining. We baseline “normal” operation across full duty cycles, ensuring anomaly alerts are trustworthy and reduce false alarms.
- Cloud-Edge Hybrid Inference. We train heavy models in the cloud and run containerized inference at the edge, providing millisecond response times without cloud dependence.
- Failure Mode Classification. We classify specific mechanical failure modes so technicians arrive prepared with the right parts and tools for the job.
- CMMS and ERP Integration. We push predictions into your CMMS as auto-generated work orders, closing the loop between ML insight and maintenance action.
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ERP-MES Synchronized Fabric
- Unified API Gateway Management. We stand up an API gateway with explicit contracts, replacing brittle point-to-point connections that break during patches.
- Event-Driven Synchronization. We build real-time synchronization, replacing nightly batch jobs that leave production and back-office systems out of sync.
- Bidirectional BOM Synchronization. We push CAD and engineering changes to both MES and ERP automatically, eliminating the version mismatches that cause floor errors.
- Automated Work Order Generation. We connect floor triggers to the ERP so planned runs or predictive alerts spawn work orders with materials and routing attached.
- Automated Conflict Resolution. We implement automated reconciliation to detect and resolve sync mismatches, maintaining data integrity between MES and ERP.
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Industrial Zero-Trust Architecture
- Device Identity and PKI. We issue cryptographic identities to every connected device, ending the “trusted network” assumption and requiring proof of identity for all traffic.
- Mutual TLS for OT Infrastructure. We enforce mTLS across the broker and critical links, ensuring both ends authenticate and all data is encrypted in transit.
- Supply Chain Security Verification. We verify the Software Bill of Materials for every component, identifying supply-chain vulnerabilities before they reach production.
- Continuous Security Posture Monitoring. We monitor device behavior for anomalies in real-time, verifying every interaction rather than assuming a device stays trustworthy.
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IT/OT Engineering Team Augmentation
- Hybrid Engineering Alignment. We supply engineers who master both control logic and modern software architecture, matching talent to your specific stack and protocols through our IT/OT Engineering Team Augmentation service.
- Rapid Engineering Onboarding. We integrate vetted hybrid engineers into your process in 14 days, bypassing the 6-month hiring cycles typical for OT architects.
- Integrated Engineering Model. Our engineers integrate into your standups and tooling under your direction, ensuring you keep full control of the roadmap and IP.
- Flexible Team Capacity. We scale the team based on project phase, avoiding fixed payroll costs with a flexible capacity model.
- Knowledge Transfer. We pair our experts with your in-house team and document as we build, ensuring the new IT/OT capability stays with you.
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Industrial Edge AI Operations (EdgeMLOps)
- Model Optimization. We quantize models for your gateway hardware, moving data center GPU power directly to the line with millisecond speeds.
- Hardware-Specific Tuning. We tune models to the specific NPU and thermal limits of your gateways, avoiding hardware overspend while hitting inference targets.
- Over-the-Air Model Pipelines. We build over-the-air pipelines to update edge models without manual floor visits or line stops, with built-in rollback protection.
- Model Drift Monitoring. We instrument models to detect quiet performance degradation (data drift) and alert you before bad predictions impact the scrap rate.
- Edge-Cloud Workload Orchestration. We keep training in the cloud and inferencing on the gateway, ensuring the factory keeps running through any network outage. While we keep inference local for millisecond speeds, our Cloud Development Services ensure seamless integration for heavy model training and centralized management of your distributed edge ecosystem
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IIoT Pilot-to-Production Scaling Program
- Standardized Reference Architecture. We convert one-line proofs into a repeatable Edge AI solution development framework so the next line scales without a rebuild.
- IT and OT Alignment. We resolve the organizational standoff early by baking security and firewall rules into the design, bypassing multi-month review delays.
- Maintenance Team Enablement. We build workflows around the people who live with the machines, ensuring floor-level buy-in that makes the system stick.
Working Together
Our Engagement Process
A six-step engagement built so you can see exactly what you're getting before you commit to the next phase. Every step ends with something you own and a decision that is yours to make.
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Industrial Discovery Assessment
Line walk and inventory of controllers, protocols, and data flows. Outcome: A clear, written current-state roadmap with prioritized risks and opportunities.
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Architectural Roadmap Design
Design of a scoped architecture and integration plan using a Must/Should/Could framework. Outcome: Technical sign-off on cost, security, and timeline.
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Value Validation
Single-line production-grade pilot tied to a core operational KPI. Outcome: Proof of value in your environment before any capital scaling.
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Production Implementation
Full-scale build to production standards with security and monitoring instrumented. Outcome: Safe cutover with zero production downtime.
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Enterprise Rollout Enablement
Execution of the rollout playbook with concurrent documentation and team training. Outcome: Internal ownership and self-sufficiency for expansion.
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Lifecycle Operational Support
Ongoing monitoring, security updates, and model retraining scaled to your needs. Outcome: Long-term performance and roadmap acceleration.
AI
How the U.S. Wealth Management Firm Built Secure RAG for Sensitive Client Data
Devox Software helped a U.S. wealth management firm build a secure RAG system for working with sensitive financial data while preserving access controls and source traceability.
Additional Info
Core Tech:
- Python
- FastAPI
- Azure OpenAI
- LangChain
- PostgreSQL
- Microsoft Entra ID
- OAuth 2.0 / OIDC
- Docker
Country:
USA
LOGISTICS & AUTOMOTIVE
AI-Charged: How We Cut Migration Planning Time by 70%
Devox utilized its AI Solution Accelerator™ to automate dependency mapping, identify hazardous modules, and test migration waves before they went live. The outcome was a 70% reduction in the time needed to prepare for modernization.
Additional Info
Core Tech:
- .NET 8
- Azure
- Angular
- PostgreSQL
- TensorFlow
- Azure Cognitive Services
Country:
USA
Testimonials
Testimonials
Sweden
The solutions they’re providing is helping our business run more smoothly. We’ve been able to make quick developments with them, meeting our product vision within the timeline we set up. Listen to them because they can give strong advice about how to build good products.
Carl-Fredrik Linné
Tech Lead at
CURE Media
United States
We are a software startup and using Devox allowed us to get an MVP to market faster and less cost than trying to build and fund an R&D team initially. Communication was excellent with Devox. This is a top notch firm.
Darrin Lipscomb
CEO, Founder at
Ferretly
Australia
Their level of understanding, detail, and work ethic was great. We had 2 designers, 2 developers, PM and QA specialist. I am extremely satisfied with the end deliverables. Devox Software was always on time during the process.
Daniel Bertuccio
Marketing Manager at
Eurolinx
Australia
We get great satisfaction working with them. They help us produce a product we’re happy with as co-founders. The feedback we got from customers was really great, too. Customers get what we do and we feel like we’re really reaching our target market.
Trent Allan
CTO, Co-founder at
Active Place
United Kingdom
I’m blown up with the level of professionalism that’s been shown, as well as the welcoming nature and the social aspects. Devox Software is really on the ball technically.
Andy Morrey
Managing Director at Magma Trading
Switzerland
Great job! We met the deadlines and brought happiness to our customers. Communication was perfect. Quick response. No problems with anything during the project. Their experienced team and perfect communication offer the best mix of quality and rates.
Vadim Ivanenko
COO at
Optherium
United States
The project continues to be a success. As an early-stage company, we're continuously iterating to find product success. Devox has been quick and effective at iterating alongside us. I'm happy with the team, their responsiveness, and their output.
Sweden
We hired the Devox team for a complicated (unusual interaction) UX/UI assignment. The team managed the project well both for initial time estimates and also weekly follow-ups throughout delivery. Overall, efficient work with a nice professional team.
John Boman
Product Manager at
Lexplore
Canada
Their intuition about the product and their willingness to try new approaches and show them to our team as alternatives to our set course were impressive. The Devox team makes it incredibly easy to work with, and their ability to manage our team and set expectations was outstanding.
Tamas Pataky
Head of Product at
Stromcore
Estonia
Devox is a team of exepctional talent and responsible executives. All of the talent we outstaffed from the company were experts in their fields and delivered quality work. They also take full ownership to what they deliver to you. If you work with Devox you will get actual results and you can rest assured that the result will procude value.
Stan Sadokov
Product Lead at
Multilogin
United Kingdom
The work that the team has done on our project has been nothing short of incredible – it has surpassed all expectations I had and really is something I could only have dreamt of finding. Team is hard working, dedicated, personable and passionate. I have worked with people literally all over the world both in business and as freelancer, and people from Devox Software are 1 in a million.
Mark Lamb
Technical Director at M3 Network Limited
Insights
Our Experts' Insights
Manufacturing
Cheat Sheet: Cost-Effective Modernization of Production Control Systems in Machinery Manufacturing
Industry Trends
Intelligent Automation
Manufacturing
Industrial Data Pipelines: How to Turn Machinery Signals into Production Intelligence
AI Solutions
Manufacturing
How to Build a Custom Manufacturing AI Agent System: 8 Steps from Use Case to Production
FAQ
Frequently Asked Questions
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Do we need to replace our legacy equipment?
Keep your assets. We help manufacturers extend the value of their legacy assets without costly replacements. We bridge Modbus RTU, Ethernet/IP, and Profinet into clean Sparkplug B streams, validating against your HMI before any cutover. Your 1999 PLC and 2024 controller end up publishing identical, self-describing data.
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Edge vs cloud: what runs where?
Anything that has to be fast, keep working offline, or would cost too much to send stays at the edge. Heavy computing and the cross-plant view go to the cloud.
Runs at the edge Runs in the cloud Protocol translation from PLCs and sensors Model training on historical data Local buffering during network outages Cross-plant analytics and dashboards Real-time inference (vision, anomaly detection) Fleet management of edge devices and models Alarms and line-side decisions Long-term storage and reporting Data filtering and report-by-exception Enterprise system integration at scale Most of our architectures are hybrid: models are trained in the cloud, run at the edge, and managed centrally. The line keeps running if the connection drops.
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What if our machines have no sensors?
You can still start. Many machines already produce useful data through their PLCs, drives, and motor controllers: current draw, cycle times, temperatures, and fault codes. Where that isn’t enough, we retrofit non-invasive sensors (clamp-on vibration, current transformers, temperature, acoustic) without modifying the machine or its control logic. Predictive maintenance programs often start with a few critical assets and add sensors where the data shows it pays off. Read more: AI for predictive maintenance when legacy equipment has no sensors.
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Which edge platforms and gateways do you work with?
We can work with Siemens Industrial Edge, AWS IoT Greengrass, Azure IoT Operations with Azure Arc, Ignition Edge, and Kubernetes-based edge clusters (such as K3s), on industrial PCs and gateways from major hardware vendors. We pick the platform based on your data volume, inference needs, plant environment, and existing IT standards, not vendor preference. If you’ve already standardized on a platform, we build on it rather than adding another one.
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How do you manage Edge AI software development?
We manage the full lifecycle of Edge AI development by prioritizing containerization, OTA pipelines, and edge-native ML frameworks. This ensures your software remains secure and maintainable over the asset’s entire multi-decade lifecycle. You can also dive deeper into our Manufacturing AI Solution Accelerator.
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How do you resolve IT/OT friction during security reviews?
The cultural divide is the real project killer. We bring stakeholders together at discovery to bake segmentation and firewall policies into the initial design. This turns security from a blocker into a routine part of the delivery process.
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What is a realistic deployment timeline?
Data bridges deliver trustworthy data in weeks. Complex compliance readiness or middleware for deep legacy takes 6-12 months. We prioritize high-impact wins first so ROI compounds during the rollout. Sequence every engagement to deliver value early, ensuring risk stays contained through a high-velocity, structured implementation process. This service is part of our broader manufacturing software solutions.
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Who owns the code and the models?
You do. We hand over the source code, architecture and integration documentation, data models, trained models with their training pipelines, deployment and rollback procedures, and monitoring setup. Our engineers pair with your team and document as they build, so you can operate, retrain, and extend the platform without us.
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