Duplicated platform work
Teams repeatedly rebuild common backend, integration, security and deployment foundations for every new digital solution.
Kumuluz Digital Platform
Cloud-native foundation for digital services, APIs and AI-agent-ready enterprise platforms
Kumuluz Digital Platform helps organizations build modern, scalable and integration-ready digital solutions on cloud-native, microservice, API-first and AI-agent-ready architecture principles.
It provides the engineering foundation for digital services, APIs, connectors, MCP-enabled tools and workflow orchestrations used by enterprise applications, portals, mobile apps, partner systems and AI agents.
The platform is framework-flexible, implemented with modern MicroProfile and Jakarta EE compatible technologies, with Quarkus as the preferred foundation for new Java cloud-native projects.
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Digital platforms now need to serve applications, systems and AI agents
Many organizations build digital solutions project by project. Each new portal, backend, integration or customer-facing service introduces its own architecture, APIs, deployment model, security approach and operational patterns.
Over time, this creates duplicated effort, inconsistent architecture and higher maintenance cost.
With AgenticAI, the challenge becomes even broader. AI agents need safe access to enterprise capabilities — services, APIs, tools, workflows and connectors — but they should not interact directly with backend systems without clear boundaries, validation, governance and auditability.
Kumuluz Digital Platform provides a reusable cloud-native foundation for building digital solutions and AI-agent-ready service layers in a structured way.
Monolithic legacy constraints
Existing systems often slow down digital innovation because they are difficult to extend, expose through APIs or prepare for AI-agent usage.
Unsafe agent access to backend systems
AI agents need tools and business capabilities, but direct access to backend systems can create security, compliance and reliability risks.
Inconsistent APIs and integrations
Without shared platform principles, APIs, connectors and integrations become fragmented, hard to govern and difficult to reuse.
Non-deterministic process automation
AI agents can assist and reason, but many business-critical processes require deterministic workflows, validations, approvals and audit trails.
Operational complexity
Modern digital and AgenticAI-ready systems require deployment automation, observability, resilience and production readiness from the beginning.
A reusable foundation for modern digital and AI-agent-ready solutions
Kumuluz Digital Platform provides a cloud-native foundation for building modular, API-first and integration-ready enterprise applications.
It helps organizations accelerate development by using proven architecture patterns, reusable capabilities and modern platform practices instead of starting from scratch for each project.
In AgenticAI architectures, Kumuluz Digital Platform plays a specific role: it helps teams build the services, APIs, connectors, MCP-enabled tools and deterministic workflows that AI agents can safely use.
This makes it possible to prepare existing and new digital systems for AI-assisted automation while keeping process logic, integration boundaries and operational control in the platform layer.
Build faster with reusable foundations
Use proven patterns and shared platform capabilities to reduce repeated development effort.
Prepare systems for AI agents
Expose approved services, APIs, connectors and tools that agents can use safely and predictably.
Modernize without replacing everything
Introduce APIs, modular services, connectors and workflow boundaries around existing systems.
Improve long-term maintainability
Design applications with modularity, clear service boundaries and operational readiness from the start.
AI-agent-ready digital platform foundations
AI agents become useful when they can safely interact with real enterprise systems. For that, organizations need well-designed services, APIs, connectors, tools and workflows — not direct, uncontrolled access to backend applications.
Kumuluz Digital Platform helps teams build the digital service layer that connects enterprise applications, business processes and AI agents.
It enables development of cloud-native services, APIs, MCP-enabled tools, connectors and workflow orchestrations that can be integrated with KumuluzAI or other AgenticAI platforms.
Agent-ready services
Build services that expose clear, controlled and reusable business or technical capabilities to applications and AI agents.
Tool-safe APIs
Design APIs that are safe to expose as agent tools — with clear inputs, outputs, permissions, validation, idempotency and auditability.
MCP-enabled tools
Create tool interfaces and MCP-compatible exposure patterns so agents can discover and use approved platform capabilities.
Connectors and adapters
Connect AI agents and digital applications to existing enterprise systems through controlled integration services.
Workflow orchestration
Build deterministic workflows with Temporal, Camunda or similar engines for processes that require reliability, auditability and control.
Reusable skills and capabilities
Package recurring business or technical functionality as reusable skills, services or platform capabilities.
Agentic flexibility with deterministic process control
AgenticAI introduces flexibility, but many enterprise processes still require deterministic execution: defined steps, validations, approvals, retries, compensations and audit trails.
Kumuluz Digital Platform helps implement this deterministic layer through workflow orchestration, business services and APIs.
AI agents can assist users, gather context, retrieve information or suggest actions, while services and workflow engines execute process-critical steps in a controlled and auditable way.
Workflow orchestration can be implemented using platforms such as Temporal, Camunda or similar engines, depending on the process model and enterprise requirements.
Defined process steps
Model and execute process-critical steps through workflow engines rather than relying only on agent reasoning.
Service-based execution
Use cloud-native services and APIs as workflow activities, service tasks or connectors.
Human approvals
Introduce review and approval checkpoints where sensitive decisions require human confirmation.
Retries and compensation
Support resilient process execution with retries, timeout handling, rollback or compensation patterns.
Auditability
Track workflow progress, service calls, decisions, approvals and outcomes.
Agent-assisted workflows
Let AI agents support users and prepare context while deterministic workflows execute critical business operations.
What you can build with Kumuluz Digital Platform
Kumuluz Digital Platform supports enterprise digital solution scenarios, modernization initiatives and AgenticAI-ready service architectures.
Enterprise digital platforms
Build complete digital platforms that support customer journeys, internal processes, partner services and business operations.
Examples
- Customer self-service platforms
- Partner portals
- Business portals
- Internal enterprise platforms
- Digital service platforms
- Multi-channel digital solutions
AI-agent-ready service layers
Create controlled service layers that expose approved capabilities to AI agents and AgenticAI platforms.
Examples
- Agent-callable services
- Tool-safe APIs
- MCP-enabled tools
- Agent integration adapters
- Agentic workflow services
- Controlled backend access layers
API-first backend platforms
Create modular backend platforms that expose business capabilities through secure, reusable APIs.
Examples
- API-based backend systems
- Digital channel backends
- Mobile application backends
- Partner API platforms
- Internal service platforms
- Business capability APIs
Workflow orchestration platforms
Build process automation foundations using workflow engines and service-based execution.
Examples
- Temporal-based workflows
- Camunda-based workflows
- Approval workflows
- Onboarding workflows
- Case management workflows
- Long-running business processes
- Human-in-the-loop process automation
Cloud-native application modernization
Modernize existing systems using modular services, APIs, containers, connectors and incremental migration patterns.
Examples
- Legacy system API enablement
- Modularization of monolithic systems
- Strangler pattern modernization
- AI-readiness for legacy systems
- Containerization readiness
- Cloud-native migration foundations
- Incremental modernization roadmaps
Microservice-based digital solutions
Build modular software systems where services can evolve independently while remaining integrated and manageable.
Examples
- Domain-driven microservices
- Modular backend architectures
- Event-enabled services
- Service-based business platforms
- Independently deployable components
- Scalable distributed applications
Reusable digital capabilities
Create reusable platform capabilities that can be shared across digital products, channels, workflows and AI agents.
Examples
- User and profile services
- Customer data APIs
- Product catalog APIs
- Order and subscription services
- Notification services
- Integration services
- Business workflow services
- Agent tools and skills
Core platform capabilities
Kumuluz Digital Platform combines cloud-native architecture principles, reusable development patterns, AgenticAI-readiness and enterprise delivery experience into a foundation for modern digital systems.
Cloud-native architecture
Designed for modern cloud-native application development and deployment, with support for containerized workloads, scalable services, automated deployment and resilient architecture patterns.
Key capabilities
- Cloud-native application architecture
- Container-ready services
- Kubernetes-oriented deployment patterns
- Scalable backend design
- Resilience and availability patterns
- Environment portability
- Cloud, hybrid and on-premise deployment support
Framework-flexible, Quarkus-first
Not tied to a single runtime. It can be implemented using MicroProfile and Jakarta EE compatible technologies, with Quarkus as the preferred foundation for new Java cloud-native projects.
Key capabilities
- Framework-flexible implementation
- MicroProfile-compatible architecture patterns
- Jakarta EE compatible development principles
- Quarkus-first approach for new Java cloud-native projects
- Runtime and framework flexibility
- Kubernetes-oriented application design
- Avoidance of unnecessary platform lock-in
Service and API development
Supports development of cloud-native services and APIs that expose business and technical capabilities to applications, partners, workflows and AI agents.
Key capabilities
- Cloud-native service development
- API-first service design
- Business capability APIs
- Internal and external service APIs
- Agent-callable service patterns
- Service contracts and versioning
- Reusable API capabilities
MCP tools and agent integration
Enables teams to design services and APIs that can be exposed as MCP-enabled tools or agent-callable capabilities through controlled, well-defined integration boundaries.
Key capabilities
- MCP-compatible tool patterns
- Agent-callable APIs
- Tool-safe service design
- Tool metadata and schemas
- Agent integration adapters
- Controlled backend access
- Reusable agent skills
Workflow orchestration
Supports deterministic workflow orchestration for business processes that require reliability, auditability and control, using Temporal, Camunda or similar engines.
Key capabilities
- Temporal workflow patterns
- Camunda workflow patterns
- Long-running process support
- Human-in-the-loop workflows
- Service task implementation
- Activity execution patterns
- Retry and compensation patterns
- Process observability
Microservice foundations
Supports modular service-based architectures where business capabilities can be developed, deployed and evolved independently with clear service boundaries.
Key capabilities
- Microservice architecture patterns
- Modular service design
- Domain-driven service boundaries
- Independent service evolution
- Service communication patterns
- Data ownership considerations
- Incremental modernization support
Enterprise integration readiness
Designed to integrate with existing enterprise systems, data sources, APIs and business processes — and to become the controlled connector layer between AI agents and enterprise systems.
Key capabilities
- Integration with legacy systems
- Integration with enterprise applications
- API-based integration
- Event-driven integration patterns
- Connector and adapter development
- Data exchange workflows
- Partner system connectivity
- Backend-for-frontend patterns
Security and identity integration
Provides secure access, identity integration and authorization patterns across users, services, APIs, tools and workflows.
Key capabilities
- Authentication and authorization patterns
- OAuth2 and OpenID Connect support patterns
- Enterprise identity provider integration
- Role-based access control
- API and tool security patterns
- Service-to-service security
- Secure session and token handling
DevOps and deployment readiness
Designed to fit modern DevOps and platform engineering practices, with support for automated delivery, container-based deployment and production operations.
Key capabilities
- CI/CD-ready application structure
- Containerized deployment
- Kubernetes deployment patterns
- Environment configuration management
- Automated release workflows
- Infrastructure and platform integration
- Production deployment support
Observability and operations
Supports architecture patterns for monitoring, logging, tracing and operational visibility across services, APIs, workflows, integrations and agent-called tools.
Key capabilities
- Application logging patterns
- Metrics and monitoring
- Distributed tracing readiness
- OpenTelemetry-oriented observability
- Health checks and readiness probes
- Workflow and service call visibility
- Operational dashboards
- Production supportability
Reusable platform patterns
Helps teams reuse proven patterns across digital initiatives instead of reinventing architecture, integration, workflow and deployment foundations for each project.
Key capabilities
- Reusable architecture templates
- Standardized backend patterns
- Shared service patterns
- Reusable API capabilities
- Tool and connector patterns
- Workflow implementation patterns
- Security and deployment templates
- Delivery accelerators
A platform architecture for applications, services and AI agents
Kumuluz Digital Platform is designed as a foundation for building modular digital systems that connect users, applications, APIs, services, workflows, AI agents and enterprise systems.
It supports the creation of digital platforms where backend services, APIs, workflows, integrations and user-facing channels can evolve together without creating unnecessary complexity.
Digital channels
Web applications, mobile apps, customer portals, partner portals, internal tools and other user-facing digital services.
AI agents and assistants
KumuluzAI agents or other AgenticAI systems that use approved services, APIs, tools and workflows.
API and tool layer
Reusable APIs, MCP-enabled tools and agent-callable capabilities exposed through controlled access patterns.
Service layer
Modular backend services that encapsulate business logic, process support and domain-specific functionality.
Workflow orchestration layer
Temporal, Camunda or similar workflow engines that execute deterministic process steps, approvals and long-running workflows.
Integration connectors
Connectors and adapters that integrate services, workflows and agents with existing enterprise systems and external services.
Enterprise systems
Existing applications, databases, core systems, ERP, CRM, billing, document systems, third-party services and legacy platforms.
Platform and operations layer
Deployment, configuration, observability, security, CI/CD and cloud-native operational foundations.
Designed for enterprise deployment environments
Kumuluz Digital Platform is suitable for organizations that need flexibility in where and how digital solutions and AI-agent-ready services are deployed.
It supports cloud-native and hybrid deployment models, integration with enterprise platforms and operational practices required in production environments.
Cloud deployment
Deploy digital solutions on modern cloud platforms using cloud-native application and automation patterns.
Hybrid deployment
Support architectures where new digital services, agents or workflows connect to existing on-premise systems and private infrastructure.
On-premise deployment
Deploy in private enterprise environments where data, security or regulatory requirements demand local control.
Kubernetes-ready
Design applications and services for containerized deployment and Kubernetes-based operations.
OpenShift-compatible architecture
Support enterprise environments where OpenShift is the standard application platform.
DevOps integration
Integrate with CI/CD, infrastructure automation, GitOps and platform engineering workflows.
Modernize gradually and prepare systems for AI agents
Kumuluz Digital Platform helps organizations modernize existing systems incrementally.
Instead of replacing everything at once, teams can expose legacy capabilities through APIs, introduce modular services around existing systems, create connectors and workflows, and gradually move toward cloud-native architecture.
The same approach helps prepare enterprise systems for AgenticAI: selected capabilities can be exposed as safe services, tools or workflow steps instead of giving AI agents direct access to backend systems.
API enablement
Expose existing business functionality through secure and reusable APIs.
Tool-safe service design
Design services and APIs that can be safely used by AI agents with clear inputs, outputs, permissions and validation.
MCP-enabled exposure
Prepare selected capabilities for MCP-compatible tool exposure where appropriate.
Modularization
Break large systems into more manageable modules or services where it creates business and technical value.
Workflow boundaries
Use workflow orchestration to create deterministic process boundaries around business-critical operations.
Strangler pattern
Build new capabilities around existing systems and gradually replace selected functionality over time.
Integration modernization
Replace point-to-point integration complexity with more structured API, connector and event-driven patterns.
Platform consolidation
Create shared foundations for multiple digital solutions, workflows and AI-agent use cases instead of isolated project-specific architectures.
Technology direction
Modern Java cloud-native direction
Kumuluz Digital Platform follows modern Java cloud-native architecture principles and is designed to work with current enterprise Java technologies.
For new Java cloud-native projects, we primarily use Quarkus because it is well suited for Kubernetes-based deployment, fast startup, efficient resource usage and modern MicroProfile/Jakarta EE compatible development.
KumuluzEE, our earlier open-source microservice framework, remains part of the Kumuluz history and is maintained where needed for existing environments. However, it is not the primary technology foundation for new Kumuluz Digital Platform projects.
Kumuluz Digital Platform is framework-flexible and Quarkus-first for new Java cloud-native projects.
Part of the Kumuluz product family
Kumuluz Digital Platform is part of the broader Kumuluz product family. It provides the engineering foundation for building the services, APIs, connectors, tools and workflows that other Kumuluz products can manage, expose, govern or use.
AgenticAI
KumuluzAI Platform
Build, run and orchestrate AI agents and assistants with enterprise context, control and integration.
Platform
Kumuluz Digital Platform
A cloud-native foundation for digital services, integrations and application workflows.
API
Kumuluz API
Expose, secure, manage and monitor APIs across your digital ecosystem.
Business
Kumuluz Business APIs
Reusable business capabilities such as notifications, cases, tasks and customer interactions.
Crowdsensing
Kumuluz Crowdsensing
AI-enhanced collection and processing of distributed real-world data for smart services.
Where Kumuluz Digital Platform fits
Kumuluz Digital Platform is suitable for organizations that need scalable, secure and integrated digital systems across complex environments — and want to prepare those systems for AI-assisted automation.
Banking and financial services
Digital banking platforms, customer journeys, onboarding, KYC, APIs, workflow automation and AI-agent-ready service layers.
Insurance
Digital insurance services, process support, integration platforms, customer portals, claims workflows and agent-callable business services.
Public sector
Digital administration, case management, secure workflows, document-heavy processes, citizen services and AI-assisted administrative support.
Energy and utilities
Customer engagement platforms, operational systems, integrations, data-driven digital services and AI-enabled process support.
Manufacturing and enterprise services
Partner portals, business platforms, product information systems, customer-facing digital services and AI-agent-ready integrations.
Technology and platform organizations
Cloud-native digital products, API platforms, modular backend systems, workflow orchestration and reusable digital capabilities.
Why Kumuluz Digital Platform
Platform foundation instead of one-off applications
Kumuluz Digital Platform helps organizations create reusable digital foundations instead of rebuilding architecture for every project.
AI-agent-ready service architecture
The platform helps teams build services, APIs, tools, connectors and workflows that AI agents can use safely and predictably.
Cloud-native, API-first and framework-flexible
It supports modular, scalable and integration-ready systems built around APIs, services and modern deployment practices, with Quarkus as the preferred foundation for new Java cloud-native projects.
Deterministic process control
Kumuluz Digital Platform supports workflow orchestration where business-critical processes require defined steps, approvals, retries, compensation and auditability.
Works with existing enterprise environments
It is designed to integrate with existing systems, cloud platforms, identity providers, APIs and operational processes.
Supports gradual modernization
Organizations can modernize step by step through API enablement, modularization, containerization, workflow boundaries and AI-agent-ready service layers.
Delivered by Sunesis
Kumuluz Digital Platform is developed and delivered by Sunesis, combining platform product development with enterprise engineering, integration, cloud-native, DevOps, AgenticAI and workflow automation expertise.
How organizations start with Kumuluz Digital Platform
Kumuluz Digital Platform can be introduced as the foundation for a new digital initiative, modernization program or AI-agent-ready enterprise service layer.
1
Assess the digital and integration landscape
We analyze existing applications, integrations, business capabilities, digital channels, workflows and modernization goals.
2
Identify AI-agent-ready opportunities
We identify which services, APIs, connectors and workflows could safely support AI agents and which process boundaries must remain deterministic.
3
Define the target platform architecture
We design the target architecture, including APIs, services, connectors, workflows, deployment model, security, observability and governance.
4
Select the technology foundation
We select the most suitable implementation foundation. For new Java cloud-native projects, this is typically Quarkus; for other environments, we adapt to compatible enterprise technology requirements.
5
Build services, APIs and connectors
Core services, APIs, integration adapters, tool-safe endpoints and platform capabilities are implemented iteratively.
6
Implement workflow orchestration where needed
Temporal, Camunda or similar workflow engines are used where processes require deterministic execution, approvals, retries or long-running orchestration.
7
Expose capabilities to applications and agents
Digital products, portals, mobile apps, partner systems and AI agents can use approved services, APIs, tools and workflows.
8
Operate, evolve and scale
The platform grows over time with new capabilities, integrations, services, workflows and AI-agent-ready use cases.
Need a stronger foundation for digital platforms and AI-agent-ready services?
Kumuluz Digital Platform helps organizations build cloud-native, API-first and integration-ready digital solutions with reusable platform foundations.
It also helps prepare enterprise systems for AgenticAI by enabling safe services, APIs, MCP-enabled tools, connectors and deterministic workflows that AI agents can use under control.