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Use-of-Funds (interactive)

Diligence noticeWorking state of Rōvn as of 2026-06-24 · Pre-launch by designSee 09 for receipts →
AI Diligence Console

Drag the sliders to model how $2.25MRound sizeRōvn SAFE term sheet · 2026-05 · canonical raise (see 02.1 Use of Funds) deploys across engineering, GTM, compliance, and advisory. Headcount, runway, and milestones recompute live. The starting allocation matches 02.1 Use of Funds.

This is a scenario tool, not a commitment. Default sliders match the planned $2.25MRound sizeRōvn SAFE term sheet · 2026-05 · canonical raise (see 02.1 Use of Funds) allocation. Reset returns to the locked plan. Operating-cost assumptions (loaded $/headcount, vendor burn, cloud spend) are the same as the 02.9 3-case model.
$2,250,000total raise
, monthly burn
, runway (months)
, peak headcount
46% $1,035,000
22% $495,000
14% $315,000
8% $180,000
10% $225,000
Allocations: 100%

What lands at the end of this raise

  • First 5 paying design-partner facilities live on the facility operator
  • SOC 2 Type II in progressSOC 2 status06.3 SOC 2 Type II Plan · auditor selected, controls in implementation closed (target Q3 2026)
  • NCQA CVO trajectory file ready for review
  • Full-time clinical advisor + engineering support framework papered
  • 43 × 51Coverage grid43 roles × 51 jurisdictions · 11.3 Coverage Map · 07.7 Source Authority Rail coverage with at least 35 BON adapters live on the api lane
  • First privileging committee end-to-end workflow validated with a pilot ASC

Full Bear / Base / Bull scenarios with revenue build, headcount plan, and DCF live in the 3-case operating model (XLSX).

Ask the AI agent about this section, the raise, compliance posture, or any cross-document question. Grounded in Rōvn's deep context, with on-page source citations.

AI queries route through AWS BedrockAI provider chain07.3 AI Architecture · AWS Bedrock under BAA → Anthropic Claude Haiku 4.5 under BAA → Rōvn ECS under BAA · Anthropic Claude (Haiku 4.5)Model identity07.3 AI Architecture · Haiku 4.5 chosen for cost + latency + BAA chain under BAA · zero-data-retention posture · no PHI in prompts.