Built to scale without the tradeoffs
A cloud-native, API-first platform designed to evolve continuously, integrate seamlessly, and deliver Intelligent Banking without complexity.
Cloud-native, multi-tenant by design
Built on Google Cloud and orchestrated with Kubernetes, the platform scales dynamically, deploys continuously, and operates with consistency across environments. Designed for performance, resilience, and ongoing evolution, it enables institutions to innovate without disruption.
- Multi-tenant architecture: Scalable, consistent performance across institutions
- Kubernetes orchestration: Dynamic scaling and resilient workload management
- Continuous delivery: Frequent releases with minimal disruption
- High availability: Designed for resilience and consistent performance, with 99.99% uptime commitments and built-in failover across environments
- Environment consistency: Aligned across development, test, and production
Built for continuous delivery, not disruption
A standardized release process ensures new capabilities are delivered safely, predictably, and without impacting live operations.
Release classification
Every change is categorized to determine risk, scope, and required validation.
Pre-UAT release notes
Clear documentation prepares teams with expected changes and validation steps.
Customer
UAT
A structured testing window ensures workflows and data integrity before deployment.
Production notice
Advance notice and final documentation ensure a smooth, predictable rollout.
Shared services and governance across the platform
Core services are built once and reused across the platform, ensuring consistency, control, and extensibility without fragmentation.
Centralized identity and access management, including SSO, MFA, and device risk controls, enforce secure access across applications and channels. Integrated with enterprise identity providers and aligned to SOC 2, PCI, and FFIEC requirements.
API gateway and orchestration layers, powered by Apigee and platform services, enable secure API management and coordinated workflows. Open APIs and marketplace integrations operate within shared governance, preventing fragmentation as the platform expands.
Event-driven architecture using RabbitMQ, ActiveMQ, and GCP Pub/Sub supports asynchronous processing, audit logging, and resilient service communication across the platform.
Defense-in-depth architecture spanning identity, application, data, and cloud layers. Secure-by-design development and continuous controls ensure compliance with SOC 2, PCI, and FFIEC while enabling safe, continuous innovation.
Data, observability and operational intelligence
Operational data architecture
Distributed data services support transactional workloads and platform activity across resilient data stores, including Oracle, PostgreSQL, MongoDB, and Redis. Designed for performance, scalability, and fault tolerance across services.
Analytical data
& reporting
Modern analytics stack leveraging Databricks and BigQuery, with reporting delivered through Looker. Lakehouse architecture and managed pipelines enable scalable analytics, reporting, and real-time insight across the platform.
Observability, security
& governance
End-to-end observability powered by Dynatrace, Grafana, and GCP Logging, providing real-time monitoring, tracing, and alerting. Integrated governance and security controls ensure visibility, reliability, and operational discipline at scale.
Strengthening, quality, reliability, and innovation
AI-powered engineering enhances how the platform is built, tested, and operated, improving code quality, release velocity, and system reliability.
AI-assisted
development
Accelerates development through code generation, review, and defect detection, improving code quality and reducing rework.
AI-generated testing
and regression
Expands automated test coverage and continuously validates changes, reducing escape defects and improving release confidence.
AI-optimized CI/CD
and releases
Enhances build and deployment pipelines with automated validation, release scoring, and risk-based controls to enable faster, safer releases.
AI-powered monitoring
and predictive reliability
Analyzes system behavior to detect anomalies, prioritize incidents, and identify high-risk services, enabling faster triage and proactive issue prevention.
Extensibility without fragmentation
Candescent’s extensibility model uses open APIs and curated marketplace integrations within shared platform governance, identity, and security controls, allowing institutions to extend through trusted partners while maintaining predictable operations and enterprise-grade security.
Engineering investments that strengthen stability and scale
Candescent is engineered for reliability at scale. The platform is continuously strengthened through performance optimization, resilient infrastructure, and disciplined engineering practices.
Every release is backed by rigorous testing, validation, and production readiness standards, ensuring uptime, performance, and operational continuity as complexity grows.
Continuous performance testing and optimization ensure consistent responsiveness under real-world conditions and peak demand.
Cloud-native, distributed architecture designed for high availability, fault tolerance, and seamless scaling across environments.
Proactive testing, monitoring, and release controls reduce risk, protect uptime, and maintain system stability without disrupting operations.
Explore the platform in a live walkthrough
Technical documentation
Explore the architecture, security, and deployment models behind the Candescent Intelligent Banking platform. Access detailed documentation to evaluate, integrate, and build with confidence.
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Technical spec sheet
Comprehensive overview of system architecture, infrastructure components, deployment models, and core platform dependencies.
Security specifications
Detailed documentation of encryption standards, data isolation, access controls, monitoring, audit logging, and regulatory alignment.
Cloud-native & multi-tenant infrastructure model
In-depth breakdown of deployment topology, tenant isolation, scalability design, failover strategy, and environment segmentation.
"Really when it came down to it, it was about two things: scalability...and second, we wanted to work and partner with someone who brought a lot of thought leadership and experience in the onboarding space. And I would say that that happened in spades."
“The Candescent team was readily available, very knowledgeable, very communicative – and just as excited for a successful launch as we were.”
