01
The mind of machines
From complex operations to software that moves.
Purplecore helps business owners, founders and operations leaders implement AI automation, ERP, mobile field platforms, industrial control and IoT systems around the way their business really works.
AI automationOperational softwareIndustrial systems
Scroll to transform
What we build
Engineering that understands the operation.
We connect software, machines and people through practical AI, business-process automation and dependable operational systems that work on the floor, in the field and in production.
02
ERP & operational platforms
Cloud software for billing, manufacturing, inventory, logistics and the workflows that generic products leave behind.03
Mobile & spatial systems
Field-ready iOS, Android and cross-platform applications with maps, media, offline sync, AR and spatial capture.04
Industrial controls & IoT
PLC, HMI, motion control, sensors, embedded firmware and cloud telemetry designed as one dependable system.05
Reliability & DevOps
CI/CD, fleet health, retry strategies, observability and production operations for systems that cannot simply stop.06
Embedded engineering teams
Senior engineers who join the problem early and stay through architecture, delivery, deployment and improvement.Selected work
One track record. Many kinds of complexity.
Selected work across our team’s track record—from commercial platforms to machines making time-critical decisions.
01
Product modernization · Retail operations
DailyBill
A long-running Windows billing product evolved into a modern React and .NET platform spanning GST invoicing, POS, inventory, credit, work orders and analytics.- React
- .NET
- AI-assisted delivery
02
Global logistics · Scalable tracking architecture
Intemo
Purplecore designed the scalable, resilient architecture that now tracks close to 8,000 active ocean shipments and about 2,000 active air-cargo shipments worldwide, refreshing status across carrier integrations every hour. A distributed server fleet, health checks, retries and production delivery pipelines keep the operation dependable at scale.- ~10,000 active shipments
- Hourly carrier updates
- Distributed reliability
03
Deterministically guided AI · Sales automation
A-Technologies FZCO (ATECPOOL Middle East)
An AI sales chatbot that helps customers find suitable pool equipment and generates quotations through ATECPOOL’s existing software.- Hybrid AI + rules
- ~3,000-item catalog
- Equipment sizing
- Legacy quote automation
04
Enterprise mobile · Spatial field workflows
WBPRO
An enterprise mobile engagement spanning spatial capture, maps, media and synchronization for field work.- Xamarin
- Spatial capture
- Offline sync
05
Enterprise iOS · Production support
West Pharmaceutical Services
An enterprise iOS delivery and production-support engagement focused on dependable mobile software in active use.- iOS
- Enterprise mobile
- Production support
06
Synchronized motion control · Premium chocolate
Patchi
A major enhancement over legacy AWEMA technology that reused only key mechanical parts while completely redesigning and implementing the electrical and firmware systems. Six servo-driven actuators are synchronized to deliver multiple premium chocolate recipes, supported by four independent PID heating zones, PLC/HMI workflows and production analysis.- Actuator synchronization
- Electrical + firmware redesign
- Multi-recipe dosing
- PID control
07
High-throughput sequencing · Real-time automation
Bäckerei Stiebling GmbH
A NI cRIO and LabVIEW system handling about 1,800 cakes per hour as they emerge asynchronously from a Dutch-made oven. It automatically serializes and orders the cakes before sealing, then synchronizes the output for easy palletizing—solving difficult real-world timing and fault-avoidance challenges through clever, high-quality engineering decisions.- ~1,800 cakes/hour
- Real-time sequencing
- Synchronized palletizing
- NI cRIO · LabVIEW
08
Connected-product platform · Full-stack IoT
Amie Smart Homes IoT
An end-to-end smart-home and security platform designed and manufactured in India, spanning custom electronics, compact wireless retrofit endpoints, embedded firmware, secure automated device provisioning, encrypted communication, cloud services, Android/iOS apps and Alexa voice control. A local hub ran schedules, rules and AI triggers even during internet outages, delivered sub-second responses and supported over-the-air updates. Vision AI turned ordinary IP cameras into automation and security sensors, using detected people, pets or vehicles to trigger lights, alarms and notifications. MQTT, Z-Wave, ZigBee and REST integrations extended the system to third-party products, while OEM modules made other manufacturers’ devices IoT-ready. The project was selected for Reliance Jio’s JioGenNext startup accelerator, published two of the first 10,000 Alexa Skills globally and filed two patent applications covering secure Wi-Fi device provisioning and configurable switch-to-load grouping. Its locally manufactured electronics also recorded no field failures during the documented rollout.- JioGenNext selection
- 2 patent applications
- Local AI + OTA updates
- MQTT · Z-Wave · ZigBee · REST
How we work
Engineering ownership from discovery to production.
Multidisciplinary by design
One team, shaped around the problem.
Product thinkers, software engineers, mobile specialists and automation practitioners work together from discovery through production.Together, the team brings a track record across software, mobile, industrial automation, IoT and applied AI—including the projects shown here and published research on CAD-to-machine systems at IEEE ISED. Publication · LinkedIn profile
Understand the real operation
We begin with the process, the constraints and the people who live with the outcome.
Design across boundaries
Architecture connects product, software, infrastructure and hardware where the system requires it.
Build to reach production
Delivery includes testing, deployment and the unglamorous details that make a system dependable.
Stay for what comes next
We can operate, improve and extend the product as the business and its evidence evolve.
From the field
Ideas shaped by building real systems.
Practical notes on AI infrastructure, manufacturing software and sensor-driven mobile products.
Apple Is Not Winning the AI War. It Is Changing the Battlefield.
Why unified memory, efficient silicon and low-latency links point toward capable AI systems that run on the desk—not only in the cloud.
Read on LinkedInWhat Broke Our First MRP Rollout (And How We Fixed It)
A practical lesson in alert fatigue—and how one useful AI-generated operations brief replaced a stream of technically correct interruptions.
Read on LinkedInBuilt an iOS app for bikers—powered by sensors, shaped by turns.
Inside an offline riding app that combines Core Motion, GPS and custom maps to turn lean angles and road trails into useful feedback.
Read on LinkedInGood questions
Before we begin.
01What kinds of projects are a strong fit for Purplecore?+
Operationally important projects where software must meet a real process: manufacturing, logistics, retail, field service, mobile work, machine control, IoT and focused AI automation.
02Can you work with an inherited or legacy system?+
Yes. We can first understand what the existing system gets right, then modernize it in measured steps without losing the operational knowledge already inside it.
03Which technologies does the team use?+
Our track record includes React, .NET, Python, iOS, Xamarin, AWS, Azure, PLC/HMI systems, LabVIEW, NI cRIO, embedded firmware and IoT platforms. We choose around the system, not a preferred stack.
04How can an engagement begin?+
With a focused conversation about the operation, the constraint and the outcome. From there we can shape a discovery, a defined delivery, or an embedded engineering engagement.
05Do you stay involved after launch?+
Yes. Deployment, production hardening, monitoring and continued improvement can be part of the engagement when the product needs long-term engineering continuity.
06How do you decide where AI should be implemented in a business?+
We start with the operating bottleneck, the information available and the decision or task that needs to improve. AI is used where it can produce a measurable operational benefit; deterministic software remains in control where exact rules are more dependable.
07Can you add AI to our existing ERP or legacy software?+
Yes. Purplecore can connect focused AI workflows to existing systems, documents and operational data without replacing everything first. We define clear boundaries, validation and human review around the parts that need them.
Start something useful
Bring us the constraint everyone else has learned to live with.
Tell us what needs to move—an operation, a product, a machine or a team. We’ll start with the real problem.
Prefer email?