MIND for Enterprise
Commercial runtime, hosted control plane, and compliance tooling for production AI systems. Built for regulated industries where determinism, auditability, and support aren't optional.
What you get
Deterministic execution mode
Reproducible training runs and inference within a defined environment. Bit-identical outputs for model versioning, A/B testing, and compliance audits.
Audit logs & compliance posture
Cryptographic build provenance, execution traces, and dependency manifests. Designed for SOC 2, HIPAA, and other regulatory frameworks requiring ML auditability.
Hosted control plane
Managed compilation, deployment orchestration, and observability dashboards. Deploy to cloud, on-prem, or edge targets from a single control surface.
SLA-backed support
Dedicated support channels, guaranteed response times, and direct access to MIND engineering. Production incident support and architectural guidance.
Private deployments
On-premises or VPC deployment of the commercial runtime and control plane. Full air-gapped support for sensitive workloads.
Performance SLAs
Committed uptime, compilation latency targets, and throughput guarantees. Validated on your hardware and workload profiles.
Production GPU Runtime
CUDA 12.8+ backend with cuBLAS/cuDNN, TF32/FP16/FP8 Tensor Cores. 180x faster memory allocation than PyTorch. Supports NVIDIA Ampere, Ada Lovelace, and Hopper GPUs. ROCm and Metal planned for 2026.
Deployment options
The commercial runtime supports flexible deployment models — hosted SaaS, on-premises, or hybrid infrastructure.
MIND Cloud (SaaS)
Fully managed control plane hosted by STARGA, Inc.. Zero infrastructure overhead — compile, deploy, and monitor models from your browser.
- Multi-region availability
- SOC 2 Type II (audit in progress)
- Automatic updates and patching
On-Premises
Deploy the commercial runtime and control plane in your own data center or VPC. Full control over data residency and network policies.
- Air-gapped deployment support
- Custom compliance integrations
- Dedicated instance sizing
Hybrid
Control plane in MIND Cloud, runtime execution in your infrastructure. Centralized management with on-prem workload execution.
- Cross-region orchestration
- Edge + cloud deployment
- Unified observability
Enterprise use cases
Healthcare & life sciences
HIPAA-compliant ML pipelines for diagnostic models, clinical decision support, and drug discovery. Deterministic builds enable model validation and regulatory submissions.
- Reproducible clinical trial simulations
- Audit trails for FDA/EMA compliance
- De-identified data processing in secure enclaves
Financial services
Risk modeling, fraud detection, and algorithmic trading with full auditability. Compliance with SR 11-7, MiFID II, and other regulatory requirements.
- Model risk management (MRM) documentation
- Backtesting with deterministic execution
- Explainable AI for credit decisioning
Autonomous systems
Perception, planning, and control for robotics, vehicles, and drones. Lean binaries for edge deployment with safety-critical guarantees.
- ISO 26262 / DO-178C alignment
- Bit-identical simulation and deployment
- Real-time inference on embedded hardware
Platform & infrastructure teams
Standardize ML tooling across research and production. Reduce operational complexity and eliminate framework sprawl.
- Unified language from notebook to deployment
- Centralized observability and cost tracking
- Self-service model deployment for data scientists
Enterprise adoption flow
Start with the open-source Community Edition, then upgrade to commercial runtime and hosted offerings as your needs scale.
For a detailed breakdown of the adoption journey, see the Enterprise Adoption Flow.
Ready to talk?
Schedule a demo to see how MIND's commercial runtime and hosted control plane fit your infrastructure and compliance requirements.