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.
Connect plant data, legacy systems, and AI.
Fragmented production data becomes actionable through cloud, AI, and technology-agnostic architecture.
Legacy platforms move forward with proven public-sector modernization and managed hosting experience.
Complex delivery risk is reduced through scaled Agile DevOps, testing, and transparent production planning.
Staffing gaps are addressed with rapid mobilization, including documented 5-day candidate turnaround.
Cloud modernization is supported by Microsoft AI Cloud, Oracle Cloud, AWS, and Google Cloud partner status.
Practical expertise, flexible execution, and user-friendly systems built for continuity.
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.
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.
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.
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
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 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
Digital manufacturing begins with a grounded view of your current systems, data, and production workflows. TechZavy evaluates application inventory, master data, business domain needs, integration points, and operational constraints before recommending a roadmap.
The result is a prioritized modernization plan that separates quick wins from deeper architecture work, supports predictable cost planning, and gives stakeholders a clear path from assessment to pilot, early production, and measurable value.
Manufacturing data often lives across ERP, MES, IoT devices, spreadsheets, SQL databases, and legacy applications. TechZavy designs data integration and mapping approaches that make information easier to govern, analyze, and apply to operational decisions.
Experience with enterprise data modernization, including Azure Databricks Lakehouse patterns, supports stronger reporting, less manual reconciliation, and better visibility into quality, throughput, demand signals, and process improvement opportunities.
Legacy and monolithic systems can limit production visibility, slow change, and increase support risk. TechZavy supports cloud migration, platform upgrades, application enhancement, porting, and transitioning from monolithic to microservices architectures where it creates measurable value.
Technology-agnostic architecture helps connect legacy and modern systems without forcing unnecessary replacement, while Microsoft AI Cloud Partner, Oracle Cloud Partner, AWS Solutions Provider, and Google Cloud Partner status support flexible modernization choices.
AI in manufacturing should start with use-case fit, data readiness, and operational value. TechZavy helps identify practical opportunities such as workflow automation, predictive analytics, intelligent alerts, quality insight, demand intelligence, and decision support.
Pilot projects create practical experience before larger investment. Early production systems then help measure value, refine algorithms, and align automation with the teams responsible for uptime, planning, service, and continuous improvement.
Production-ready digital manufacturing requires disciplined delivery, not disconnected experiments. TechZavy applies scaled Agile DevOps, testing, release planning, documentation, and AIOps-enhanced delivery practices to keep teams aligned as requirements evolve.
This approach supports transparent inspection, rapid adaptation, and continuity across build and support. It is especially valuable when your environment includes complex stakeholders, legacy dependencies, cloud hosting, data pipelines, and high-availability expectations.
Digital manufacturing programs often need specialized developers, data engineers, analysts, testers, cloud resources, and project leadership without long hiring delays. TechZavy supports rapid mobilization, knowledge transfer, and immediate backup coverage to reduce delivery gaps.
With roughly 80 qualified developers, project managers, business analysts, and testers, plus documented 5-day candidate turnaround in staffing work, your team can address critical modernization needs while protecting continuity and production focus.
Digital manufacturing works best when current operations are understood before platforms are selected. TechZavy starts with application inventory, master data, workflows, integration points, and operational constraints so your modernization path supports real production needs.
That practical assessment can lead to pilot projects, early production systems, cloud migration, IoT integration, analytics, or AI-enabled workflow enhancement. The goal is not technology for its own sake. It is a future-proof IT environment that improves visibility, reduces duplicated effort, and gives teams more reliable data for planning, quality, throughput, and service decisions.
Manufacturing environments often depend on a mix of legacy systems, manual workflows, data silos, and specialized applications. TechZavy helps connect those layers with technology-agnostic architectures designed for continuity, measurable value, and production readiness.
Digital manufacturing initiatives carry operational risk when data, applications, and teams are not aligned. TechZavy reduces that risk through predictable cost models, transparent delivery, and rapid knowledge transfer that supports continuity across planning, build, deployment, and managed support.
Experience with public-sector modernization, enterprise data platforms, and high-availability managed hosting brings disciplined delivery to complex environments. From SQL modernization into Azure Databricks Lakehouse patterns to cloud-hosted platforms with documented 99.999% uptime, the focus stays on resilient systems, user-friendly workflows, and measurable progress your teams can sustain.
Gain clarity on modernization priorities, risks, and measurable value.
The digital manufacturing service covers the full lifecycle of modernizing and integrating your production systems. You gain access to technology-agnostic solutions that connect IoT devices, legacy platforms, and cloud infrastructure. This includes assessment, pilot development, system integration, automation, and continuous optimization, helping you align IT and business goals for measurable, ongoing value.
Digital manufacturing can help you achieve faster innovation, reduced operational costs, and improved decision-making. By modernizing legacy systems and connecting real-time data streams, you can:
The process starts with a detailed assessment of your operational and IT landscape, focusing on application inventory and data flows. Practical pilot projects follow, giving you early insights and measurable results. The approach uses agile methods, transparent milestones, and ongoing refinement to ensure your systems evolve smoothly and securely.
A typical project can range from a few months for pilot initiatives to a year or more for full-scale transformation. Factors influencing the timeline include your current system complexity, integration needs, and business goals. Flexible scheduling and rapid mobilization are available to help you adapt to changing priorities and minimize operational disruption.
You benefit from proven experience in government, healthcare, and enterprise environments, supported by partnerships with Microsoft, AWS, Oracle, and Google Cloud. Rapid mobilization, fixed-cost delivery, and access to advanced AI and analytics ensure your project is future-proof, scalable, and strategically aligned with your business objectives.