high medium likelihood
R-004: Robotics foundation-model market is capital intensive and crowded
Skild competes against humanoid, warehouse, industrial automation and embodied-AI companies with deep capital, hardware dependencies and long enterprise adoption cycles.
Diligence request: Benchmark win/loss, pricing, pipeline, CAC/payback and product differentiation against direct competitors.
high medium likelihood
R-005: General-purpose robotics performance may not transfer reliably to production environments
Skild claims cross-embodiment robotics capabilities, but independent reliability, safety, deployment economics and customer ROI are not public.
Diligence request: Review product telemetry, uptime/security incidents, roadmap, technical debt and R&D milestones.
high medium likelihood
R-006: Physical-world robotics creates safety, liability and regulatory exposure
Deployments in warehouses, factories, construction and security/inspection can create product-liability, workplace-safety, data and contracting risks that require counsel and technical review.
Diligence request: Have counsel perform litigation, regulatory, privacy, IP, sanctions and compliance diligence in operating jurisdictions.
high unknown likelihood
R-001: Financial quality is not publicly verifiable
Audited financials, cash, debt, gross margin, retention and budget-to-actuals for Skild AI are not available from public sources.
Diligence request: Require audited financials, KPI pack, cash/debt schedule, ARR/bookings and board-approved plan.
high unknown likelihood
R-002: Valuation and financing terms may not reflect common-equity value
Skild AI's headline valuation is public, but preference stack, liquidation terms, option pool, debt and secondary pricing are not public.
Diligence request: Review financing documents, cap table, preference stack, debt, warrants and secondary transactions.
high unknown likelihood
R-003: Customer economics and concentration are opaque
Public customer or usage signals do not disclose top-account revenue, churn, renewal status, NRR or cohort profitability.
Diligence request: Request top-customer ARR, contracts, renewal/churn cohorts and independent references.
medium medium likelihood
R-007: Deployment quality depends on hardware partners, data collection and field operations
Skild depends on robot hardware, field deployments, teleoperation/data pipelines and enterprise integrations that are not fully described publicly.
Diligence request: Request supplier/platform dependency map, critical contracts, SLAs, incident history and contingency plans.
medium unknown likelihood
R-008: Team scale, retention and incentives are private
Public materials show an active Skild AI team, but full org chart, compensation, turnover and retention are private.
Diligence request: Request HRIS export, org chart, offer/compensation policies, employee agreements, option plan and turnover data.