Platform

One unified sovereign AI platform with three core capabilities—fine-tune, govern, and deploy—entirely within your organizational boundary.

Fine-Tune

Run LoRA, QLoRA, and full fine-tuning on your own GPUs—without sending a single token outside your control.

  • Multi-engine support (Transformers, Unsloth, PyTorch) with 200+ model families
  • Data stays within your VPC, on‑prem cluster, or air‑gapped environment
  • Configurable training recipes, hyperparameter sweeps, and reproducible runs
  • Git-native experiment tracking across datasets, configs, and checkpoints

Govern

Treat every model change like a code change with full auditability and compliance‑ready workflows.

  • End‑to‑end audit trail for training, evaluation, and deployment events
  • Git-tracked experiments and configuration lineage
  • Role-based access control (RBAC) for teams and environments
  • Policy-aware approvals and change control for regulated environments

Deploy

Move from experiment to production inside your own boundary—whether that’s air‑gapped, VPC, on‑prem, or hybrid.

  • Containerized inference workloads ready for Kubernetes and remote GPU clusters
  • CI/CD integration via pull requests and Git-based promotion flows
  • Unified deployment view across environments and teams
  • Observability hooks for latency, cost, and model quality over time