Positioning Paper  ·  April 2026

Gravity: AI-Native MBSE + GRC
for Deep-Tech Founders

How model-based systems engineering and governance automation eliminate compliance overhead as a structural drag on defense, space, and resource development ventures.

Subject

MBSE / GRC Platform Positioning

Audience

Deep-tech founders, program managers, investors

Access

DT:1 — Investor Portal or email below

Deep-tech ventures operating across defense, space, and resource extraction face a structural compliance burden that existing governance software was not designed to solve. NIST SP 800-53, CMMI-DEV Level 3, AS9100D, and ITAR/EAR operate across different domains, timelines, and audit cycles — yet must be satisfied concurrently by founding teams with finite engineering bandwidth.

Gravity is Signet Solis's AI-native platform for integrating model-based systems engineering (MBSE) with automated governance, risk, and compliance (GRC) workflows. Rather than treating compliance as a reporting layer applied after engineering decisions are made, Gravity embeds control mapping, evidence collection, and audit-trail generation into the systems engineering process itself.

This paper positions Gravity's differentiated approach relative to established alternatives — Palantir, Drata, and ServiceNow — and presents the Legacy Minerals Initiative (LMI) program as a production-grade proof case across four concurrent compliance frameworks.

  • 01

    Compliance is an engineering problem, not a reporting problem

    For CMMI-DEV and AS9100D, the compliance evidence is generated by engineering activities — or it is not generated at all. Retrofitting compliance onto completed engineering work creates systemic gaps that MBSE integration eliminates structurally.

  • 02

    Existing GRC tools solve the wrong layer

    Enterprise GRC platforms (Drata, ServiceNow) address control documentation and risk register maintenance. They do not address the upstream technical artifacts — architecture models, requirements traceability, test plans — that deep-tech compliance frameworks require.

  • 03

    AI-native workflows collapse the evidence collection latency

    Manual evidence collection for a four-framework compliance program at founding-team scale is a part-time role. AI-native extraction from engineering artifacts — design documents, test records, change logs — reduces this to an automated background process.

  • 04

    The LMI program demonstrates this at 150-node scale

    The Legacy Minerals Initiative operates a 150-technology stack across four concurrent compliance frameworks. Gravity enables this without a dedicated compliance officer. Detailed compliance posture data is available in the DT:2 investor portal.

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The full paper includes: competitive differentiation analysis, the Gravity platform architecture overview, LMI compliance posture data, and the comparison framework table. Enter your details below to receive access.

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