07Pricing: Priced Per Error Found, Not Per Point Gained

Three tiers. The pricing logic follows the revised thesis directly: a panel run is worth what a caught error is worth, and a caught error is worth far more than a point of score.

Free

$0
  • 1 full review
  • Top 3 Fix-It items
  • Panel score and spread
  • Reduced panel size
Purpose: prove it on one document

Enterprise

$299/mo
  • Unlimited reviews
  • White-label branding
  • Multi-seat team workspaces
  • Configurable judge pool
  • Corpus isolation and data controls
  • Priority pipeline and support
Purpose: proposal teams running color reviews

What a review costs us, and why the panel is affordable

The validation run cost approximately $150 in inference for three full proposals across eight reporting seats, including retries against dead models before the health gate existed. That burn is the honest anchor for panel economics: a clean 11-seat run on one proposal, with the health gate preventing wasted dispatches, sits well inside single-digit dollars.

The reason a full 11-seat panel fits a $79 tier at five reviews per month is vendor mix. Only a minority of seats run premium frontier models. The specialist Band B seats run strong mid-tier models from five different vendors, which is where the error-detection value came from in validation. Panel diversity is cheaper than panel depth, and diversity is what caught the 14.

Why the value question is not the score question

Error classReal example from validationCost of missing it
Legal blockerCharitable solicitation registration in 40+ states$30K to $75K of registration, against $3K to $14K of projected revenue
Compliance totalFull first-year compliance load on the same proposal$60K to $150K, exceeding Year-1 revenue by roughly 10x
Execution gapContractor budget short by 4x to 7xRoughly 800 unbudgeted founder hours
Revenue arithmetic$2.7M headline against $269K computed from the document's own inputsCredibility with any investor who checks the math, which is all of them
Competitive blind spotA $4M-seed funded direct rival never named in the documentThe first question in the room, unanswered

A single caught item in the top two rows pays for a decade of the Pro tier. That is the entire pricing argument, and it does not depend on the panel producing a higher score, which it does not.

Positioned against the authoring category

ComparisonTheir priceVerdictTankMultiple
Pro vs Bidara Starter$499/mo$79/mo6.3x cheaper
Pro vs AutoRFP.ai Scale$899/mo$79/mo11.4x cheaper
Enterprise vs Bidara Starter$499/mo$299/mo1.7x cheaper
Enterprise vs AutoRFP.ai Scale$899/mo$299/mo3.0x cheaper

We are not a proposal team in a box. We are one high-value pass in the workflow. A buyer already spending $499 to $899 per month on an authoring tool should be able to add the error-detection layer without a second budget conversation. Pricing Pro at $79 makes VerdictTank an add-on decision rather than a platform decision.

08Competitive Landscape: Nobody Sells the Errors

Every AI-native player in this space is an authoring tool. They generate drafts. The nearest substitute for what we do is not a competitor product at all. It is a single frontier model and a prompt, and validation showed exactly what that substitute misses.

ProductCategoryPublished priceRelationship to VerdictTank
AutogenAIEnterprise authoringCustom, sales-led, no self-serveComplementary. We find the errors in what it writes.
CivioGov RFP authoringCustom, sales-ledComplementary. Downstream reviewer.
BidaraMid-market authoring$499/mo StarterComplementary. Transparent pricing, natural comparison anchor.
AutoRFP.aiResponse automation$899/mo ScaleComplementary. Reviews its drafts.
DeepRFPLean-team authoring$89/user/moComplementary. Lowest per-seat price in the category, natural partner.
A solo frontier modelDIY substituteAPI cost onlyThe real competitor. Measured: misses or underweights the material errors a panel catches.
VerdictTankPanel error detectionFree / $79 Pro / $299 EnterpriseThe only 11-seat, 9-vendor review panel with a published integrity gate

Competitor prices are vendors' own published rates as of July 2026. Tools without public pricing are shown as sales-led. Every named product was verified to exist and to occupy the authoring category.

Why the DIY substitute is the row that matters

Any buyer sophisticated enough to want proposal review can paste their document into a frontier model and ask for a critique. That is the honest competitive threat, and it is the one we tested against rather than around. The result is in section 3: the solo model returns a defensible, directionally correct score, and it returned none of the six VentureBuilt conditions, none of the CartMySupply compliance exposure, and none of the RFP Tank competitive reality.

1. Incumbents cannot sell honest criticism

Authoring tools sell the promise that they write your proposal. A brutal error list on the output that same tool just produced is a direct admission the generated draft is losing. It is structurally against their interest. We have no draft to defend. The verdict is the product.

2. Review is where the money is decided

Every serious bid already goes through a review gate, the color-team pass organizations run manually by pulling senior staff off billable work. That labor is expensive, slow, inconsistent between reviewers, and unavailable to the solo consultant. The demand is proven by the existence of the manual process.

3. Panel orchestration is a real moat

Nine vendors, health gating, pre-baked failover, no model double-ups, and an integrity gate that challenges its own outliers is not a prompt. It is an operations problem, and the 2026-08-12 run is the evidence of what it costs to learn.

4. An empty category sets its own price

A crowded category means the budget line exists and you fight for share. An empty review category means we define the line and set the reference price, while remaining complementary to every authoring tool in the table above.

The authoring tools write proposals. A solo model grades them smoothly.
VerdictTank tells you the fourteen things both of them got wrong.