Featured Case Study

Software Engineering Advisory • Manufacturing Industry

The IoT Platform Rebuild That Unlocked Double Growth

How we helped an ag-tech manufacturer rebuild trust in their technology, empowering internal teams to pursue opportunities that could double their business through modern DevOps and scalable architecture.

Published: January 15, 2025  •  Financial Services Industry

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Key Results

1,000+

Connected Machines

Managed remotely across multiple states

$10M+

New Opportunities

Platform enables business-doubling deals

100%

Code Visibility

From no Git to full transparency

The Challenge

Our client, a machinery manufacturer with 50-200 employees, was struggling with a failed cloud platform built by previous contractors. Their Director of Technology had lost trust in the application that was supposed to enable remote management of 1000+ smart agricultural devices across the country.

Key pain points included:

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4-hour deployment windows causing business disruption

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Manual deployment processes taking weeks

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Fragile .NET API causing constant issues

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No visibility into code or deployment processes

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Lack of SOC 2 compliance requirements

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High infrastructure costs due to over-provisioning

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Inability to pursue new business opportunities due to technical debt

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Buggy application with no version control

Our Solution

We rebuilt their entire platform from the ground up, focusing on empowerment and scalability while establishing modern development practices.

1. Analytics Dashboard MVP

Started with a simple read-only analytics tool allowing office staff to view machine data and daily operations, rebuilding trust through incremental delivery.

2. DevOps Implementation

2. Full-Stack Platform Rebuild

Transitioned from maintaining the problematic .NET API to building a complete Python/Django solution, enabling bidirectional communication with field machines.

3. IoT Architecture Modernization

Implemented AWS IoT Core for secure device provisioning and management, handling edge cases like connectivity issues, backups, and authorization without shared credentials.

4. Cloud Migration

4. DevOps Transformation

Established GitLab CI/CD pipelines, automated deployments, and proper version control, giving the Director of Technology full visibility and control over the codebase.

Phase 3: Migration & Testing (Months 5-8)

Gradual migration of services, comprehensive testing, and performance optimization.

Implementation Timeline

Phase 1: MVP (Months 1-2)

Delivered analytics dashboard MVP while assessing the existing architecture and building stakeholder confidence.

Phase 2: API Rebuild Decision (Month 3)

Strategic pivot to rebuild the entire API in Python after demonstrating the limitations of the existing .NET system.

Phase 3: Migration & Testing (Months 5-8)

Gradual migration of services, comprehensive testing, and performance optimization.

Phase 3: Platform Development (Months 4-8)

Built full-stack application with IoT communication, inventory management, and remote machine control capabilities.

Phase 3: Platform Development (Months 4-8)

Built full-stack application with IoT communication, inventory management, and remote machine control capabilities.

Phase 4: Team Enablement (Months 9-12)

Transitioned to advisory role while helping build internal team and establishing sustainable development practices.

Results & Impact

The transformation went beyond technical improvements to fundamentally change how the company approaches technology:

1. Performance

Technical Empowerment

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Director can now deploy code in one day vs. weeks

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Full team ownership of technology stack

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Ability to build POCs quickly for new opportunities

1. Performance

Cost Optimization

Business Growth

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$2M annual infrastructure savings

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Pursuing warehouse automation projects

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Launching inventory tracking as new product line

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Multiple opportunities that could double business size

The Director of Technology can contribute code alongside the team, reviews pull requests, and can pursue time-sensitive opportunities without external dependencies. The modern architecture enables new modules like automated warehouse integration and third-party ERP connections.

Project Details

Industry

Manufacturing

Company Size

500-1000 employees

50 - 200 employees

Project Duration

12 months

Team Size

8 engineers

Services

1 engineers

Services

Software Engineering Advisory

Technologies Used

AWS Docker Ruby on Rails GitLab CI PostgreSQL React Python Django .NET PHP

Ready for Similar Results?

Let's discuss how we can help create your custom application.

Legacy Application Modernization

Refactor aging code to reduce risk

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Custom Application Development

MVPs and full-stack systems built for scale

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