Industries
SideLab focuses on sectors where models need controlled runtime behavior, evidence, deployment choice, and domain-specific performance rather than generic hosted chat.
NPC behavior models that can reason inside designer constraints.
Procedural world generation for quests, dialogue, economies, and encounter design.
Managed GPU inference for studios that need secure builds and reliable latency.
Scenario generation, telemetry analysis, and mission rehearsal support.
Physics-informed simulation models for validation and certification evidence.
Private cloud and on-prem deployments aligned to program security requirements.
Controlled tactical simulations, command-support tools, and red-team evaluation loops.
Data never leaves the perimeter, with auditable access and sovereign model governance.
SideLab Managed installs and maintains offline model stacks with incident runbooks.
Reinforcement learning sandboxes and policy evaluation under rare-event scenarios.
Manipulation, navigation, and inspection training with controlled synthetic variation.
Edge-to-cluster deployment patterns for labs, factories, and field robots.
Regulated expansion
SideLab Managed gives privacy-sensitive organizations a path away from black-box hosted AI without asking them to become model operations companies overnight.
GDPR residency, audit trails, policy-controlled inference, and private deployment for sensitive workflows.
Data-sovereign model stacks for clinical operations, biomedical simulation, and privacy-bound research.
Common guarantee