Qubinets provides a self‑service, Kubernetes‑based platform that lets developers, data analysts, and AI engineers deploy and manage open‑source data and AI infrastructure with a few clicks. Its catalog of modular “Qubs” abstracts Helm and YAML configuration while preserving full access to underlying settings, supporting multi‑cloud and on‑premise environments with built‑in security, governance, and observability.
Funding
$1.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises and AI teams often struggle with the complexity, cost, and time required to provision, configure, and maintain open‑source data and AI infrastructure across multiple clouds. The need to manage Kubernetes, integrate dozens of tools, ensure security and compliance, and avoid vendor lock creates operational bottlenecks and skill‑gap challenges.
Solution
Qubinets delivers a self‑service, Kubernetes‑based platform that abstracts the configuration of open‑source components into reusable “Qubs.” Users can select databases, streaming systems, observability stacks, and AI/ML frameworks from a catalog and deploy them on any public cloud or on‑premise with a few clicks. The platform provides graphical Helm/YAML abstraction, versioned architecture snapshots, and built‑in security, governance, and compliance modules, allowing developers, data analysts, and AI engineers to focus on code rather than infrastructure. Integrated observability, identity, and networking services are managed centrally, while full access to underlying configurations remains available for advanced users. Pay‑as‑you‑go pricing and tiered subscription plans enable organizations to scale from hobby projects to production‑grade deployments without hidden fees.
Target Audience
Primary customers are developers, data analysts, and AI engineers building data pipelines or AI agents, as well as enterprise IT and data teams that require scalable, secure, and compliant infrastructure across cloud and on‑premise environments.
Features
- Modular “Qubs” that package popular open‑source tools (e.g., Kafka, MinIO, Kubeflow, Hugging Face, OpenSearch) for one‑click deployment
- Graphical interface that abstracts Helm charts and YAML while preserving full configuration access
- Multi‑cloud and on‑premise support with native Kubernetes orchestration and Crossplane integration
- Built‑in security, data‑privacy, and European‑compliant governance layers with automated best‑practice enforcement
- Architecture versioning and rollback capabilities for safe experimentation and role‑based access control
- Integrated observability stack (Prometheus, Grafana, Loki, VictoriaMetrics) with unified dashboards and alerting
- Managed identity services (Keycloak, OAuth) and single sign‑on for secure user management
- Pay‑as‑you‑go pricing with per‑user and per‑cluster subscription tiers, including free “Community” tier for individual use