Catalog
Six offerings cover the full path from model capability to production operations: build the model, tune the domain, connect it to simulation stacks, and maintain it inside the client perimeter.
Pre-trained frontier models deployed on client infrastructure with air-gapped capability.
AI engine for NPC behavior, world generation, adaptive difficulty, and test automation.
Physics-informed neural simulation for digital twins, autonomous systems, and robotics.
Controlled fine-tuning, dataset management, evaluation gates, and release workflows.
API and SDK access to SideLab models, engines, and managed runtime primitives.
Full lifecycle installation and operations for self-hosted sovereign AI infrastructure.
Managed infrastructure
GPU clusters, model serving, network segmentation, key management, and air-gap runbooks.
SLA-backed model updates, monitoring, latency tuning, incident handling, and rollback.
Audit trails, access controls, data residency evidence, and security operations integration.
Move workloads from cloud AI providers to sovereign self-hosted stacks without disruption.