Turn-KeyPrivate AI Platform

Galene.AI is a full-stack on-prem platform built on a managed open-source foundation, enhanced by three proprietary layers: Generative Nexus for optimized inference orchestration, Generative Pillars for agentic development, and Generative Shield for runtime governance and security. It is engineered for enterprise deployments and can scale on multi-node infrastructure using Kubernetes and, where needed, OpenStack.

Galene.AI runs a curated portfolio of open-weight models selected through proprietary benchmarking. We evaluate quality on representative tasks, latency and throughput under concurrency, GPU memory efficiency, and stability in long-running workloads. Model choices are validated across the full stack, including serving configuration and governance controls, so customers can adopt models with predictable performance and in-perimeter sovereignty.

We deliver quarterly updates for AI models and platform components, and we continuously apply security maintenance to ensure reliability and compliance readiness. The platform architecture is designed to preserve backward compatibility for existing agents.

Galene.AI uses a per-GPU licensing model, designed to support broad adoption without per-seat constraints. This helps organizations plan capacity and cost as usage grows and scale adoption across teams without adding licensing friction per user.

Galene.AI offers three product lines: Elettra, a compact turn-key appliance footprint for fast enablement and controlled adoption; Arethusa, an enterprise-grade cluster platform for production scale; and Castalia, a NeoCloud-grade sovereign AI fabric for highly customized provider-scale environments. Choose Elettra to validate private AI with minimal setup, Arethusa when you need cluster-ready enterprise operations, and Castalia when you must deliver sovereign AI services at AI-factory scale.

Elettra supports horizontal scaling within its footprint, typically from 1 to 2 nodes, such as 1 to 2 GB10 units or 1 to 2 Tower systems. Arethusa is designed for broader horizontal scalability and manages multi-node clusters for enterprise-grade deployments. Because Elettra and Arethusa use different deployment architectures, they are not intended to run together as a single mixed cluster; moving from Elettra to Arethusa follows a planned migration approach based on backup, restore, and environment porting.

Sizing balances performance, cost, and reliability. It is driven by four practical factors: parallel inference needs (expected concurrency), redundancy (single-node vs multi-node), upgradability (future growth), and storage requirements for resilient data management. We assess your scenario to propose a sustainable configuration.

Galene.AI supports native integrations with enterprise sources including SharePoint, Google Drive, S3-compatible storage, and Samba, as well as enterprise identity patterns and databases. It also supports SQL and NoSQL databases and can connect agents to enterprise applications through MCP-based integration patterns.

Yes. Galene.AI supports air-gapped and highly restricted environments, enabling operation inside the enterprise perimeter without outbound connectivity by default and with update strategies aligned to security policies.

Governance is implemented at runtime through Generative Shield, which inspects inputs and outputs across chats, agents, and workflows. It applies configurable policies with standard and custom filters and includes runtime inspection mechanisms designed to mitigate prompt-based and interaction-based threats.

Our policy is clear: all data handled by the platform, both inputs and outputs, remains the customer's property. Sovereignty and ownership are contractually guaranteed as a core principle of our approach.

Galene.AI supports encryption at rest and in transit (depending on deployment), secrets management, and mandatory SSL on ingress with public or private CA options suited to restricted environments. These controls support secure operations within the customer perimeter.