Value next round option

Value raising now versus delaying for a milestone by simulating posterior milestone success, bridge-capacity failure, conditional future dilution, terminal stakeholder value, and lower-tail delay loss.

What it's for

Quantifies whether waiting for a milestone is worth the dilution upside after runway failure and downside risk, instead of assuming a higher future valuation is free.

What you give it

Inputs split into evidence read from your connected systems, calibration your team owns, and numerical controls that affect precision but never the result's meaning.

Field Type Role Required
beta_prior_alpha number > 0 Your calibration Optional
beta_prior_beta number > 0 Your calibration Optional
bridge_pre_money_valuation number > 0 Your calibration Yes
confidence_level number ≥ 0.5, ≤ 0.999 Your calibration Optional
current_cash number ≥ 0 Your calibration Yes
current_pre_money_valuation number > 0 Your calibration Yes
delayed_raise_amount number ≥ 0 Your calibration Yes
max_detail_rows integer ≥ 1, ≤ 500 Numerical control Optional
maximum_bridge_capital number ≥ 0 Your calibration Yes
maximum_delay_cvar_loss any Your calibration Optional
milestone_failures integer ≥ 0 Your calibration Yes
milestone_successes integer ≥ 0 Your calibration Yes
minimum_delay_financing_survival_probability number ≥ 0, ≤ 1 Your calibration Optional
minimum_probability_delay_value_positive number ≥ 0, ≤ 1 Your calibration Optional
posterior_draws integer ≥ 1000, ≤ 200000 Numerical control Optional
raise_now_amount number ≥ 0 Your calibration Yes
scenarios array of objects (8 fields) ≥ 2 items Evidence Yes
seed integer ≥ 0, ≤ 4294967295 Numerical control Optional
tail_probability number ≥ 0.001, ≤ 0.5 Your calibration Optional

Each scenarios record

Field Type Required
cash_burn_until_decision number (≥ 0) Yes
delayed_pre_money_if_failure number (> 0) Yes
delayed_pre_money_if_success number (> 0) Yes
id string (non-empty) Yes
probability number (≥ 0, ≤ 1) Yes
terminal_enterprise_value_delay_failure number (≥ 0) Yes
terminal_enterprise_value_delay_success number (≥ 0) Yes
terminal_enterprise_value_raise_now number (≥ 0) Yes
Example input
{
  "bridge_pre_money_valuation": 12000000,
  "current_cash": 1500000,
  "current_pre_money_valuation": 15000000,
  "delayed_raise_amount": 5000000,
  "maximum_bridge_capital": 1000000,
  "milestone_failures": 2,
  "milestone_successes": 18,
  "posterior_draws": 5000,
  "raise_now_amount": 5000000,
  "scenarios": [
    {
      "cash_burn_until_decision": 1000000,
      "delayed_pre_money_if_failure": 8000000,
      "delayed_pre_money_if_success": 30000000,
      "id": "base",
      "probability": 0.7,
      "terminal_enterprise_value_delay_failure": 12000000,
      "terminal_enterprise_value_delay_success": 45000000,
      "terminal_enterprise_value_raise_now": 25000000
    },
    {
      "cash_burn_until_decision": 1200000,
      "delayed_pre_money_if_failure": 10000000,
      "delayed_pre_money_if_success": 40000000,
      "id": "upside",
      "probability": 0.3,
      "terminal_enterprise_value_delay_failure": 15000000,
      "terminal_enterprise_value_delay_success": 60000000,
      "terminal_enterprise_value_raise_now": 30000000
    }
  ],
  "seed": 41
}

What you get back

This is the actual output of running the example above — computed by the same function the platform calls, not an illustration.

Example output
{
  "assumptions": [
    "Scenario probabilities represent exogenous joint futures, while the beta posterior represents milestone-success sampling uncertainty from comparable, selection-aware, outcome-mature attempts.",
    "Existing-stakeholder value uses a simplified pro-rata dilution model: bridge capital prices at the governed bridge pre-money valuation and the delayed round prices at the success/failure pre-money valuation.",
    "Terminal enterprise values, burn, financing amounts, currency, horizon, taxes, preferences, participation, debt priority, shutdown value, and scenario dependence are complete and mutually consistent; this model is not a valuation, fundraising guarantee, or substitute for board, legal, tax, or investor judgment."
  ],
  "configuration": {
    "bridge_pre_money_valuation": 12000000,
    "confidence_level": 0.9,
    "current_cash": 1500000,
    "current_pre_money_valuation": 15000000,
    "delayed_raise_amount": 5000000,
    "maximum_bridge_capital": 1000000,
    "maximum_delay_cvar_loss": null,
    "minimum_delay_financing_survival_probability": 0.95,
    "minimum_probability_delay_value_positive": 0.8,
    "posterior_draws": 5000,
    "posterior_mean_milestone_success_probability": 0.8636,
    "raise_now_amount": 5000000,
    "seed": 41,
    "tail_probability": 0.1
  },
  "decision": "delay_next_round_option_supported",
  "method": "posterior_milestone_bridge_constrained_next_round_option_v1",
  "scenario_diagnostics": [
    {
      "delay_financing_survives": true,
      "expected_delay_incremental_existing_stakeholder_value": 15568681.3187,
      "probability_delay_value_positive": 0.8636,
      "scenario_id": "base",
      "scenario_probability": 0.7
    },
    {
      "delay_financing_survives": true,
      "expected_delay_incremental_existing_stakeholder_value": 24924242.4242,
      "probability_delay_value_positive": 0.8636,
      "scenario_id": "upside",
      "scenario_probability": 0.3
    }
  ],
  "summary": {
    "clears_cvar_gate": true,
    "clears_financing_survival_gate": true,
    "clears_positive_value_gate": true,

Truncated for display — the full payload is 57 lines.

How it works

Sequential Bayesian & bandits — Learn while deciding — update beliefs as evidence arrives and choose where the next unit of effort is worth spending.

  1. 1 Freeze exogenous joint scenarios, current cash and financing terms, bridge capacity and price, success/failure delayed-round valuations, terminal enterprise values, and a selection-aware cohort of comparable resolved milestones.
  2. 2 Draw milestone-success probability from its beta posterior, sample a joint scenario, enforce bridge survival, propagate bridge and delayed-round dilution, and compare terminal existing-stakeholder value with raising now.
  3. 3 Support delay only when its incremental value probability, financing-survival probability, and optional CVaR ceiling all clear; treat failure of any gate as raise-now-preferred-or-delay-unsupported rather than proof a round is available.

Before you trust it

Every tool in the catalog ships with the conditions under which its answer is meaningful — and the conditions under which it should abstain instead of guessing.

Assumptions & guardrails

  • The likelihood or reward model, prior support, action logging, delayed outcomes, and any stationarity assumptions match the deployment process.
  • Milestone attempts are comparable and selection-aware, joint scenarios are complete, conditional pre-money and terminal values are coherent, and cash burn, financing amounts, currency, horizon, and capital-stack perimeter align.
  • Posterior probability and adaptive selection are model-conditional; they are not substitutes for randomized propensities or guaranteed safety.
  • This simplified pro-rata real option omits debt and preference waterfalls, taxes, participation, shutdown value, investor availability, signaling, and negotiation; it is not a valuation, financing guarantee, or board recommendation.

Minimum evidence

  • scenarios: at least 2 rows/items
  • current_cash: required and organization-defined
  • current_pre_money_valuation: required and organization-defined
  • raise_now_amount: required and organization-defined
  • delayed_raise_amount: required and organization-defined
  • bridge_pre_money_valuation: required and organization-defined
  • maximum_bridge_capital: required and organization-defined
  • milestone_successes: required and organization-defined
  • milestone_failures: required and organization-defined

How to validate it

Validate on future periods or held-out aggregate units, compare with a simple baseline, and require stability across plausible metric definitions and decision thresholds.

Calibrating it to your org

Same for everyone

The mathematical kernel, validation rules, method version, and JSON output semantics are organization-independent; no tenant-trained coefficients or company benchmark is embedded in the function.

Specific to you

  • selection-aware milestone success/failure counts and complete joint burn, valuation, and terminal-value scenarios
  • cash and capital-stack perimeter, bridge enforceability, milestone cohort/selection/maturity, priors, financing and terminal value definitions, scenario probabilities, currency/horizon, survival/value/CVaR gates, draws, and seed

Calibration workflow

  1. 1 Define the management decision, target outcome, aggregate unit, privacy boundary, cadence, and prediction/intervention horizon for this organization.
  2. 2 Build a tenant-scoped historical cohort using only information available before each prediction or decision; preserve zero periods, censoring, assignment probabilities, and unresolved outcomes when the method requires them.
  3. 3 Estimate statistical parameters on training history, but obtain costs, utilities, risk tolerance, practical-effect thresholds, capacity, and policy constraints from accountable decision owners.
  4. 4 Validate on later time windows or held-out aggregate units at the deployment grain, against a simple baseline and the function-specific validation strategy.
  5. 5 Deploy only if the returned decision clears evidence, overlap, calibration, robustness, and guardrail checks; warning, unsupported, schema-gap, and fallback decisions are abstentions.
  6. 6 Monitor realized outcomes, data drift, coverage, and decision regret; recalibrate at a governed cadence or after a detected regime/definition change, never merely because a stakeholder dislikes the result.

Call it from your AI

You don't wire up 388 tools in your MCP client. The GitRevio MCP server exposes 18 tools, three of which let an agent search the catalog, read a tool's schema, and run it — so the assistant finds this one on its own.

gitrevio_capabilities_search
  { "q": "value raising now versus delaying for" }
  → finds "value_next_round_option"

gitrevio_capability_describe
  { "capability_id": "value_next_round_option" }
  → returns the input schema and agent guidance shown on this page

gitrevio_capability_run
  { "capability_id": "value_next_round_option", "arguments": { ... } }
  → returns the result shown above

Works in Claude Desktop, Claude Code, Cursor, Cline, Continue.dev, Goose and Aider. See the MCP server.

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