A Cloud, Platform & Application
R&D Lab Built on Open Technologies
We are a cloud and AI engineering lab focused on researching, testing, and building production-grade platforms and cloud-native applications on open technologies. Our work spans infrastructure, platforms, and application layers — always grounded in real-world enterprise and telco environments.
Open-source is our foundation and our research surface.
We actively explore, test, and stress open-source technologies under realistic operational and business constraints. Rather than treating platforms as static products, we treat them as evolving systems that must be continuously validated through experimentation.
Our lab exists to bridge the gap between upstream open-source innovation and downstream production-ready cloud and application delivery.
Research & Development Focus
Our R&D work is structured around solving practical cloud and application challenges at scale. Research activities are tightly coupled with engineering and productization efforts.
Cloud & Hybrid Infrastructure
Unified control planes for multi-tenant, hybrid, and sovereign cloud environments. We architect intelligent, self-healing infrastructure layers that abstract complexity while maintaining strict compliance boundaries. Integrating open standards with enterprise-grade governance to enable seamless operations across estates.
Platform Engineering
Building robust Internal Developer Platforms (IDPs) that standardize workflows. We explore Kubernetes patterns and custom operators to match velocity with stability.
Cloud-Native Apps
Designing portable, resilient architectures. Prioritizing state management, event-driven patterns, and observability-first coding practices for distributed systems.
Automation
Zero-touch provisioning and GitOps workflows. We treat infrastructure as code, implementing comprehensive CI/CD pipelines that minimize manual intervention.
AI Infrastructure
Optimizing high-performance computing layers. We focus on GPU utilization patterns, model serving efficiency, and accelerating data pipelines for AI workloads.
Cloud-native microservices
Decomposed architectures for agility and independent scaling.
API-driven platforms
First-class API contracts ensuring seamless integration.
Event-driven apps
Reactive systems building on real-time data streams.
AI-enabled workloads
Integrating intelligent models directly into application flow.
Cloud Application Development
In addition to platform engineering, we design and build cloud-native applications that run on top of OpenStack and OpenShift environments. We prioritize resilience, observability, and automation from the earliest design phases.
Highly Secure
Strong encryption and secure authentication standards.
Built in public
Transparent development and community-driven approach.
From Lab to Production
Everything we build follows a clear lifecycle. Features and architectures are validated through real experiments before they become part of production systems.
Research
Validation
Productization
Production
Technology Stack
Infrastructure
- OpenStack
- OpenShift & Kubernetes
- Ceph Storage
- Linux Cloud Infra
App & Integration
- Cloud-native microservices
- REST & Event APIs
- Service Meshes
- Streaming Systems
Automation
- Infrastructure as Code
- CI/CD Pipelines
- GitOps Workflows
- Observability Stacks
AI & Data
- GPU Infrastructure
- AI/ML Frameworks
- Data Processing
- Analytics Platforms
Why a Lab-Driven Approach Matters
Enterprise cloud and application platforms demand reliability, security, and predictability. A lab-driven approach allows us to innovate quickly while protecting production stability.
Our Role
We are researchers, engineers, and builders. We partner with organizations that want to develop sustainable cloud businesses and cloud-native applications on open technologies — supported by strong engineering discipline, operational excellence, and continuous innovation.