MIND

MIND for Enterprise

Commercial runtime, hosted control plane, and compliance tooling for production SI systems. Built for regulated industries where determinism, auditability, and support aren't optional.
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A control plane layered over runtimes on every chip.
  1. Hosted control planeCommercial

    Managed compilation, deployment orchestration, observability. SLA-backed support.

  2. Commercial runtimeCommercial

    Deterministic execution mode, audit logs, compliance tooling, GPU execution.

  3. Community EditionApache 2.0

    The open-source compiler and language. Start here.

Start with the open-source Community Edition, then add the commercial runtime and hosted offerings as your needs scale.

Enterprise

What you get

One artifact, deployed from one control plane, with the same result on every chip it runs on.

The control plane deploys one artifact; x86/x64, ARM and GPU runtimes report the same trace_hashControl planedeploy · observe · auditx86/x64trace_hash9a8d084b…1c85ARMtrace_hash9a8d084b…1c85GPUtrace_hash9a8d084b…1c85one result, every chip

  • Deterministic execution mode

    Bit-identical on x86/x64, ARM, GPU and any chip, for model versioning, A/B testing and compliance audits.

  • Audit logs & compliance posture

    Cryptographic build provenance, execution traces and dependency manifests for deployment-specific audit reviews.

  • Hosted control plane

    Managed compilation, deployment orchestration and observability, to cloud, on-prem or edge from one surface.

  • SLA-backed support

    Dedicated channels, guaranteed response times and direct access to MIND engineering.

  • Private deployments

    On-premises or VPC runtime and control plane, with full air-gapped support for sensitive workloads.

  • Performance SLAs

    Committed uptime, compilation latency targets and throughput guarantees, validated on your hardware.

GPU runtime

Multi-vendor GPU execution through the commercial runtime.

Commercial

Validate on your target hardware with the same bit-identical results as on CPU.

  • CUDA
  • ROCm
  • Metal
  • WebNN

Arch-MIND

Architectural governance: a deterministic scanner for codebase architecture.

9

Q16.16 fixed-point metrics over a typed dependency graph, every session chained into a tamper-evident evidence log.

  • modularity
  • acyclicity
  • depth
  • evidence-chain density
  • governance-kernel coverage
  • and more
Live demo

Deploy anywhere

Deployment options

Hosted SaaS, on-premises or hybrid: the commercial runtime fits your infrastructure.

  • MIND Cloud (SaaS)

    Control plane

    MIND Cloud

    Runtime

    Fully managed

    Fully managed control plane hosted by STARGA, Inc.. Compile, deploy and monitor models from your browser.

    • Multi-region availability
    • Automatic updates and patching

    PlannedSOC 2 Type II (planned; not yet audited)

  • On-premises

    Control plane

    Your infra

    Runtime

    Your infra

    The commercial runtime and control plane in your own data center or VPC. Full control over data residency and network policy.

    • Air-gapped deployment support
    • Custom compliance integrations
    • Dedicated instance sizing

  • Hybrid

    Control plane

    MIND Cloud

    Runtime

    Your infra

    Control plane in MIND Cloud, runtime execution in your infrastructure. Central management, on-prem execution.

    • Cross-region orchestration
    • Edge + cloud deployment
    • Unified observability

Use cases

Built for regulated, high-stakes work

  • Healthcare & life sciences

    Diagnostic models, clinical decision support and drug discovery, with deterministic builds and embedded evidence chains for model review.

    • Reproducible clinical trial simulations
    • Audit trails for FDA/EMA review
    • De-identified data processing where configured

  • Financial services

    Risk modeling, fraud detection and algorithmic trading with audit-oriented records, assessable against SR 11-7, MiFID II and more.

    • 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, designed for safety-critical use.

    • Deployment-specific assessment against ISO 26262 / DO-178C
    • Bit-identical simulation and deployment on x86/x64, ARM, GPU and any chip
    • Real-time inference on embedded hardware

  • Platform & infrastructure teams

    Standardize ML tooling across research and production, with less operational complexity and no framework sprawl.

    • Unified language from notebook to deployment
    • Centralized observability and cost tracking
    • Self-service model deployment for data scientists

Adoption

Enterprise adoption flow

Start with the open-source Community Edition, then upgrade to the commercial runtime and hosted offerings as your needs scale.

  1. Community Edition

    Open source, Apache 2.0

  2. Commercial runtime

    Deterministic execution, audit logs, GPU

  3. Hosted offerings

    Control plane, SLA-backed support

The full journey, stage by stage: Enterprise Adoption Flow.

A private, air-gapped data center: five server racks on a raised floor inside a locked perimeter. A signed build is set into the dock, and pulses carry it along the floor to every rack, whose blade lights fill from the bottom up.

Ready to talk?

Schedule a demo to see how MIND's commercial runtime and hosted control plane fit your infrastructure and compliance requirements.

Request enterprise demoStart with Community Edition