The AI-powered EHS & Operations management platform
Applivity Reflex is the intelligent core of our platform, built to help teams work safer, smarter and more efficiently. It brings together powerful apps that empower your entire organization.
Explore Applivity Reflex →Production AI, in your environment.
Fixed scope, fixed outcome, milestone payments, no lock-in. Start with a Readiness Assessment; scale with an AI Engineering Pod.
Explore Services →Applivity brings application engineering, AI and managed operations together on Microsoft Azure. We modernize business-critical software, connect it to the Microsoft ecosystem, and keep the resulting environment governed, observable and ready to scale.
We partner around a platform our customers can already govern, secure and extend - then put our engineering capability where the platform alone cannot.
Azure gives us a strong foundation for cloud-native applications, APIs, containers, serverless workloads and application modernization. We focus our engineering effort on turning those primitives into reliable business systems.
Enterprise software does not live in isolation. Microsoft Entra identity, role-based access, policy and network controls let applications fit the security model IT teams already operate.
Microsoft Foundry brings models, agents, tools, evaluation, observability and governance into an enterprise AI platform. We use it to move beyond prototypes and into governed workflows.
Our Azure practice is centered on Digital & App Innovation, with Data & AI as a complementary capability path.
Azure is the platform. Applivity is the engineering layer that connects platform decisions to applications, data, AI and day-to-day operations.
Modernize legacy applications, expose clean APIs, introduce cloud-native services and connect existing enterprise systems without forcing a wholesale rewrite.
Use Microsoft Foundry, Azure AI capabilities and your business data to build assistants, agents, document workflows and decision-support experiences with a path to production.
We design for observability, controlled releases, identity and operational ownership so the application remains useful after the launch project is over.
Foundry gives enterprise teams a unified place to work with models, agents and tools, while providing the identity, governance and observability needed to operate AI responsibly. We bring the application engineering, domain context and integration layer around it.
Choose the right model and build agentic experiences around real business tasks.
Connect enterprise information and controlled tools to make AI useful in context.
Trace, monitor and evaluate AI behavior instead of treating quality as a black box.
Use enterprise access, policy and network controls as part of the architecture.
We do not treat cloud delivery, application engineering and managed operations as separate handoffs. The architecture is designed with the operating model in mind from the beginning.
Map users, dependencies, data, security requirements and the operational reality before changing the platform.
Choose the appropriate Azure services and application patterns rather than migrating technology for migration's sake.
Integrate identity, data, AI, APIs and existing enterprise systems so the new capability works inside the business.
Build in monitoring, release discipline, governance and an operating model that can evolve with the workload.
The goal is not to replace your existing controls or create another technology island. It is to extend the environment you already understand with better applications, practical AI and an operating model built for change.
Build within a common cloud, identity and governance foundation.
Modernize incrementally instead of waiting for a perfect rewrite.
Design for evaluation, observability, security and ownership from day one.
Architecture, engineering and operations can remain connected.
Because enterprise customers need more than compute. Azure provides a mature application platform, enterprise identity and governance, plus a growing AI stack. We can spend our engineering effort on the business problem instead of rebuilding those foundations.
No. Migration is one entry point. Our focus is application engineering: modernizing existing software, building cloud-native applications, integrating enterprise systems, adding AI capabilities and operating the resulting environment.
Foundry is the AI layer for building and operating AI applications and agents. We use it where AI needs to connect to business data, workflows, tools and enterprise controls rather than existing as an isolated chatbot.
No. The right architecture can be hybrid. We start with the workload, dependencies and controls, then determine where Azure creates the most value. Modernization does not have to mean a single-step migration.
Our primary focus is Digital & App Innovation (Azure), covering building, modernizing and managing cloud-native applications. Data & AI (Azure) is a complementary capability path for meaningful data and AI work, including Microsoft Foundry.

We will show you what belongs on Azure - and what should stay exactly where it is.