Launched in 2020, the AI-native low-code development platform Rierino was founded to close a critical gap in enterprise technology. Businesses demanded faster innovation, but existing development tools lagged behind the pace of change.

Rierino was built by a team with more than 20 years of experience in data and analytics. Rierino—which relies on MongoDB’s unified database platform as its foundation—enables enterprises to rapidly design, deploy, and adapt applications without compromising on governance, security, or performance. Drawing on their deep expertise in AI and machine learning, the Rierino team designed its platform to address the complex realities of digital and AI transformation in large organizations.

Rierino provides the foundation for some of the world's most ambitious transformation programs. Examples include managing millions of SKUs for global marketplaces, running nationwide citizen services, and orchestrating data exchanges for major banks. The platform unites low-code development, product and content management, composable commerce, and AI agent execution in a single, developer-first environment.

Meeting complex enterprise requirements

Enterprises that turn to Rierino often share common requirements. They are looking for the:

• Flexibility to manage complex, evolving data models across catalogs, content, and AI agents.
• Assurance of strict compliance for regulated industries such as finance and government.
• Reliability of low-latency performance under heavy workloads and peak volumes.
• Freedom to deploy across any major cloud provider or secure government data centers.

To deliver on these expectations, Rierino needed a database foundation that was flexible, resilient, and trusted for mission-critical enterprise workloads. MongoDB was the natural choice.

"MongoDB matched our low-code DNA from day one,” said Berkin Ozmen, Chief Technology Officer at Rierino. “Its flexibility with complex schemas, support for event-driven architectures, and strength in security-sensitive deployments made it the right fit for how we build enterprise systems."

A flexible, high-performance database layer for modern enterprises

Rierino integrated MongoDB as its first database, choosing MongoDB for its ability to evolve as Rierino’s platform grew. MongoDB’s document model and dynamic schema were a natural fit for the variety of data Rierino supports—from vast product catalogs and multilingual content, to AI agent memory and event sourcing.

Today, Rierino relies on MongoDB Enterprise Advanced for its most demanding deployments, ensuring performance, security, and compliance in industries where trust is non-negotiable. Cluster-to-Cluster Sync (mongosync) provides resilience for distributed architectures, helping organizations balance operational and analytical data stores. For clients requiring managed services, MongoDB Atlas can also be deployed.

MongoDB integrates seamlessly with Rierino's microservices and event-driven architecture. For example, read-optimized collections support Command Query Responsibility Segregation patterns, and change streams deliver low-latency change data capture, so updates propagate instantly to external systems such as ERP platforms, marketplaces, and search engines. The result is a database layer that scales with workload, reduces integration friction, and keeps systems consistent.

Enabling AI agents and developer innovation

These capabilities power Rierino Core, the platform’s developer-first low-code environment. They also enable AI Agent Builder, which lets enterprises design and orchestrate intelligent agents. Within Rierino, MongoDB supports the orchestration of human users, AI agents, and their handoffs. Agents can use structured prompts, toolkits, or direct database access. They can even generate and execute code.

In augmented AI scenarios, an agent may draft a MongoDB query. A developer can then finalize this query in the Visual Query Builder, and publish it as an embedded dashboard. This interplay of AI, developers, and data is possible because MongoDB manages complex models at scale.

Beyond client-facing data, Rierino also manages development assets in MongoDB. These assets include workflow diagrams, system configurations, and hundreds of UI widgets. Managing application data and platform assets in the same model reduces fragmentation, simplifies governance, and provides predictable performance across deployments.

Driving tangible results with an execution-first platform

With MongoDB underpinning its data layer, Rierino moved from vision to execution in complex enterprise environments. The platform supports deployments that onboard millions of customers within weeks. It also handles tens of thousands of employees relying on internal applications simultaneously, all while maintaining stability and governance.

Rierino uses MongoDB to support product catalogs with millions of SKUs in commerce and product information management scenarios. This ensures updates flow seamlessly into marketplaces and ERP systems. For content-heavy environments, the same data layer powers content management system deployments. These manage multilingual content across regions and remain responsive under high load. These varied use cases benefit from MongoDB's ability to synchronize changes in real-time and scale without bottlenecks.

This execution-first foundation has also significantly accelerated developer productivity and established long-term trust. Financial and government clients, for example, process hundreds of thousands of transactions per hour on Rierino. They also report shorter release cycles and faster iteration of agentic workflows. What once took months to deliver can now be deployed in weeks, enabling more responsive services and continuous improvement.

All of these outcomes have established long-term trust. Rierino deployments run reliably in multi-cloud environments, including on those of major vendors like AWS, Google, Azure, and others (Huawei, Oracle OCI, Alibaba, DigitalOcean, and Vultr). They also run in secure government data centers, meeting strict compliance standards while maintaining uptime in high-demand scenarios.

The future of agent-driven innovation

Rierino's execution-first approach to AI means building platforms where agents not only support humans but also coordinate directly with each other. MongoDB provides the resilient data foundation to make that shift possible and ensures enterprises are ready for the next wave of automation.

Ready to transform your enterprise development?

To learn more about how Rierino manages data, agents, and development assets with MongoDB, explore the platform Documentation.

Learn more about MongoDB Enterprise Advanced and Cluster-to-Cluster Sync (mongosync) to see how they can power your mission-critical applications.