Smart Factories

Connected factory modernization, done right.

Fragmented plant data becomes usable insight through technology-agnostic architectures and AI analytics.

Legacy equipment risk is reduced with cloud modernization backed by Microsoft, AWS, Oracle, and Google partnerships.

Production disruption is minimized through scaled Agile DevOps, documentation, testing, and rapid knowledge transfer.

Operational blind spots are addressed with AIOps monitoring and predictive metrics for proactive decisions.

Complex factory initiatives stay controlled with predictable cost models and quality-assured delivery practices.

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Trusted By

Trusted for Complex Digital Modernization

Enterprise teams rely on TechZavy for practical AI, cloud, data, and managed delivery.

Shan has led the development of our department’s online platform that captures energy efficiency program data reported by 100+ Minnesota electric and gas utilities. Shan and TechZavy team have an exceptional level of technical expertise and a keen ability to implement user-friendly designs. I highly recommend Shan to anyone who is looking to develop software product solutions.

Adam Y. Zoet

Energy Planner, Director, Minnesota Department of Commerce

TechZavy has been meeting all contract obligations, including application development, data mapping, and process improvements. They have been extremely flexible in working with our technical and business requirements, have adjusted schedules and accommodated our resource timelines very well. Has worked extremely well with us in clarifying and adjusting deliverables as defined in the contract and has shown adaptability with us for minor modifications. Overall TechZavy has helped us advance our project as we approach production launch in the coming months.

Robert Wehausen

MNIT Supervisor, BWSR - Minnesota IT Services

TechZavy engineered a high-performance, centralized platform that bridged our legacy applications and brought us fully into the Azure cloud. The real game-changer has been their innovative use of Azure Open AI and autonomous agents to automate the reconciliation of judicial comments and sentencing departures. By seamlessly integrating our data with MNCIS and the DOC, TechZavy eliminated decades of data silos and drastically reduced our team’s manual administrative overhead. They delivered a solution that perfectly supports our statutory mandate

Tim Ogg

Director of MBCC-IT, Minnesota Sentencing Guidelines Commission

TechZavy Consultant has been doing wonderful on the projects they have been working on. I’m very happy with the quality of work and productivity. My goals are being met.

Lisa Zitek-Jones

QA Supervisor, MNIT Partnering with MN Pollution Control Agency

Moving our legacy databases to an Azure SQL Managed Instance was a massive undertaking, but TechZavy executed it flawlessly. Their managed cloud services optimized our system architecture, boosting scalability and guaranteeing zero downtime.

TechZavy’s contributions to AI-driven enhancements—particularly the CRM chatbot for the MMCAP Members Portal—have meaningfully improved system functionality and user experience. Shan played a key role in modernizing the MMCAP analytics (ProductFile) processing by leading its migration from a legacy SSMS platform to an Azure-based solution using Data Factory, Databricks, and AI-supported optimizations. Also excelled in multiple roles as Project Manager, Azure Administrator, and AI Architect roles

Michelle Perish

Application Support Specialist, State of Minnesota

Modernization Proof for Complex Operations

Unifying Fragmented Justice Data Into One Intelligent, AI-Driven Case Platform

How a state sentencing commission replaced siloed legacy systems with a modern, AI-powered ecosystem for case management.

Modernizing Mission-Critical Government Procurement Data Systems With Azure and AI

How a legacy-heavy public-sector procurement platform became a fast, secure, cloud-native operation.

Modernizing Statewide Energy Reporting for Minnesota’s Regulatory Future

From a decade-old legacy system to a cloud-native platform serving 200+ utilities across Minnesota.

Ensuring Air Quality Data Accuracy for a Public-Sector Environmental Monitoring Platform

How full-stack QA and sprint traceability turned data from multiple third-party sensors into air-quality readings the public can trust.

Modernizing a Statewide Wetland Mitigation System With a Unifed Azure Platform

From decades of legacy data and manual workflows to an integrated, transparent, cloud-based mitigation system.

Awards & Certifications

Smart Factory Capabilities Built for Operational Value

Connected systems, analytics, and AI

Factory Roadmapping

Prioritized modernization path

Smart factory success starts with a clear view of current systems, data flows, operational constraints, and business priorities. TechZavy maps legacy applications, IoT sources, production data, integrations, and user workflows to identify where modernization will deliver the most value.

The roadmap connects use cases to architecture, staffing, cost, and delivery timelines, helping you prioritize improvements such as predictive monitoring, cloud analytics, system integration, and operator-facing tools without overcommitting resources.

System Integration

Connected operations backbone

Manufacturing environments often depend on long-standing systems that still run critical operations. TechZavy designs technology-agnostic architectures that connect legacy platforms, IoT devices, data stores, and modern cloud services without forcing a single vendor path.

Integration work is supported by documentation, testing, and scaled Agile DevOps practices, giving your team clearer control over data exchange, system dependencies, release timing, and operational continuity during modernization.

Data Intelligence

Reliable production insight

Disconnected production data limits visibility across maintenance, quality, inventory, and throughput. TechZavy builds governed data pipelines, cloud analytics environments, and reporting layers that turn raw operational inputs into reliable decision support.

Experience with enterprise data modernization, including Azure Databricks Lakehouse work, supports stronger data quality, scalable analytics, and faster insight. Your leaders and operators gain a more consistent view of performance across systems and teams.

Predictive AI

Practical predictive use cases

High-impact AI in manufacturing should solve specific operational problems. TechZavy applies predictive modeling, automation, and AI-enabled analytics to use cases such as maintenance prioritization, quality trends, workflow bottlenecks, demand signals, and exception monitoring.

The focus stays on practical deployment: secure data access, model validation, human review, performance tracking, and integration into the systems your teams already use for day-to-day operational decisions.

Cloud DevSecOps

Secure scalable operations

Smart factory platforms need dependable release practices, proactive monitoring, and security-aware infrastructure. TechZavy supports cloud and DevSecOps engineering across modernization, migration, deployment automation, testing, and environment management.

With Microsoft AI Cloud Partner, Oracle Cloud Partner, AWS Solutions Provider, and Google Cloud Partner status, TechZavy helps align infrastructure decisions to workload needs, cost control, scalability, and high-performance operational SLAs.

Managed Continuity

Continuity beyond deployment

Factory modernization depends on continuity after launch. TechZavy supports managed delivery with documentation pipelines, rapid knowledge transfer, immediate backup coverage, testing, and proactive operational support so improvements remain maintainable.

Specialized developers, analysts, testers, project managers, and technical resources can mobilize quickly to fill skill gaps, support platform upgrades, stabilize operations, and keep your modernization roadmap moving without losing institutional knowledge.

Our Elite Partners

Proven Delivery Strength for Smart Factory Modernization

80%

First-Call Resolution

95%

Customer Satisfaction

5 Day

Average Onboarding

Turn Factory Data Into Operational Decisions

Smart factory modernization works best when operational reliability and business value guide every technology decision. TechZavy helps connect IoT data, legacy production systems, cloud platforms, analytics, and AI into practical architectures that support real decision-making instead of isolated dashboards.

With experience modernizing complex public-sector and enterprise systems, TechZavy brings disciplined DevOps, documentation pipelines, testing, and managed delivery to environments where downtime, staffing gaps, and fragmented data create risk. The result is a clearer path from factory data to production insight, predictive monitoring, and scalable digital operations.

Build a Factory Platform That Scales

Smart factories require more than sensors and dashboards. They need connected systems, governed data, secure cloud foundations, and teams that can improve operations without disrupting production.

Technology-agnostic architectures that connect IoT and legacy systems
Cloud modernization using Microsoft, AWS, Oracle, and Google Cloud capabilities
Predictive analytics for maintenance, quality, throughput, and resource planning
AIOps monitoring to identify performance risks before they escalate
Scaled Agile DevOps for transparent delivery, testing, and release control
Documentation and rapid knowledge transfer to reduce continuity risk

Move From Smart Factory Strategy to Execution

TechZavy approaches Smart Factories through high-impact use cases, not generic innovation promises. That may include modernizing decades of production data, integrating plant systems with cloud analytics, supporting predictive models, or building user-friendly applications for operators and leadership.

Founded in 2017 as an IT vendor to Mayo Clinic, TechZavy now supports complex Government, Healthcare, Environment, Fintech, Retail, and Supply Chain environments with roughly 80 qualified developers, project managers, analysts, and testers. That delivery depth helps factory initiatives move from roadmap to operational use with stronger continuity and lower implementation risk.

Plan Your Smart Factory Roadmap

Align plant data, cloud systems, and AI around measurable operational value.

Smart Factory Support Services

Frequently Asked Questions

What is included in the smart factories service offering?

The smart factories service provides end-to-end modernization for factory operations, integrating IoT sensors, legacy equipment, cloud platforms, and advanced analytics. You gain access to technology-agnostic architectures, predictive maintenance, AIOps monitoring, and scalable cloud hosting supported by Microsoft, AWS, Oracle, and Google Cloud partnerships. All solutions are tailored to your operational environment, with managed delivery, documentation, and rapid knowledge transfer to reduce risk and support continuous improvement.

How can smart factories help improve operational efficiency and decision-making?

Smart factories transform plant data into actionable insight, enabling proactive decisions on maintenance, production, and resource allocation. By connecting IoT devices, legacy systems, and modern analytics tools, you gain:

Predictive monitoring to address downtime risks before they escalate
Real-time dashboards and AI-powered analytics for rapid response
Improved throughput and resource planning based on accurate data

What is the typical process for implementing a smart factories solution?

The process begins with a detailed assessment of your current infrastructure, data flows, and pain points. From there, a tailored roadmap aligns IT and business goals, connecting plant equipment, IoT, and cloud systems. Implementation includes technology-agnostic integration, documentation pipelines, scaled Agile DevOps for transparent delivery, and continuous testing. Ongoing support ensures knowledge transfer, backup coverage, and operational continuity.

How long does a smart factories modernization project usually take?

Timeline depends on the scope and complexity of your environment, but most smart factories projects are designed for rapid mobilization and minimal disruption to operations. Typical engagements range from 8 to 24 weeks, with predictable cost models and clear milestones. Early phases focus on assessment and quick wins, while full integration and optimization follow a phased delivery plan that prioritizes uptime and continuity for your plant.

What makes this smart factories service different from other providers?

This smart factories service stands out for its technology-agnostic approach, proven public-sector track record, and partnerships with Microsoft, AWS, Oracle, and Google Cloud. You benefit from:

Rapid, reliable project mobilization and expert technical teams
Quality-assured delivery using scaled Agile DevOps and documentation pipelines
Experience modernizing complex environments, government, healthcare, and manufacturing, with measurable operational results
Predictable, fixed-cost models that scale with your needs