RigProof

1. One-liner

Tamper-evident before-and-after condition records that win damage disputes for small towing and impound operators.

2. Trend signal — why now?

Towing is a $11.8B US industry split across ~40,000 businesses, none holding more than 5% market share, and most running with 1–5 employees (IBISWorld, 2026). Every one of those operators lives with the same recurring accusation: “you damaged my car.” The entire personal-injury / consumer-law content ecosystem exists because of how often it happens — pages of lawyers coaching vehicle owners to photograph their car “alongside the driver” because “damage discovered after a vehicle has been released often falls on the owner to document and prove” (Geyer’s Towing legal guide, 2026).

Two things changed in the last 12 months that make a focused product viable now:

1. C2PA Content Credentials hit mobile. The provenance standard now has 6,000+ members including Google, Meta, Sony, Nikon and Leica, with camera-maker workflows shipping in production (eyesift C2PA status, 2026). Cryptographically-signed, tamper-evident capture is now an off-the-shelf build, not a research project.
2. AI image fraud made plain photos suspect. Synthetic-media claims cost US insurers an estimated $308.6B/year, with auto claims “increasingly containing AI-fabricated images of vehicle damage” (ECIKS, 2026). A regular phone snap from a tow operator’s gallery now carries less evidentiary weight than it did two years ago — provenance is becoming the premium feature.

Provenance:

• Signal 1 (Demand): Endemic “you damaged my car” disputes in towing/impound; legal ecosystem coaches owners to photograph and warns proof burden falls on whoever documents — Geyer’s Towing — 2026; corroborated by 86% LTL damage-claim incidence — Accio freight claims — 2026
• Signal 2 (Feasibility): C2PA Content Credentials shipped in mobile/camera workflows, 6,000+ members — eyesift — 2026
• Signal 3 (Economic): $11.8B towing market, towers already pay $109–$429/mo for dispatch software (Towbook); AI-image fraud a $308.6B/yr driver making provenance a paid feature — IBISWorld / Towbook Capterra / ECIKS — 2026 Category: Tech-unlock

3. The opportunity

The dispute is always the same shape: a vehicle owner claims damage happened during the tow or in the lot; the operator says it was pre-existing; it’s word against word, and whoever has credible before-and-after evidence wins. Towers know this — they’re told everywhere to “take timestamped photos.” So why isn’t it solved?

Because the existing tools treat condition photos as an afterthought attachment inside a dispatch suite, not as a defensible evidence package. Towbook — the dominant towing platform at $109–$429/mo — lets drivers “attach geocoded photos to a call and create a vehicle damage report” (Towbook features). That’s a diagram with photos stapled to it. It is not cryptographically tamper-evident, it produces no independently-verifiable record a claimant or adjuster can check, and it carries no AI-generated damage narrative. Towbook is a dispatch-and-billing company; rebuilding their capture flow around C2PA for the dispute-defense edge case is not their game.

The opportunity is the narrow, sharp slice they won’t build: a capture-to-verdict evidence product. Signed-at-capture photos, automatic damage tagging, and a single shareable verification link that a claimant, insurer, or small-claims judge can open and see is genuinely untampered. That’s worth money the day a tower gets their first $4,000 “you scratched my bumper” letter.

4. Target market

• Primary customer: Owner-operators and small fleet owners of light/medium-duty towing and vehicle-storage/impound businesses in the US — 1–10 trucks, the owner answers the phone and drives. ~40,000 such businesses exist; the 1–5 employee segment dominates.
• Why they buy: In their words, the pain is “they’re just going to say, ‘Wasn’t me’” and “that was already there when I got it” (ARM Software, equipment-rental analog). One disputed claim can mean a $2,000–$8,000 repair bill, an insurance deductible, a chargeback, or a 1-star review that costs more than the claim. They already believe in photos; they just don’t have proof a skeptic can’t wave away.
• Rough TAM reasoning: 40,000 US towing businesses. Realistically reachable, dispute-conscious operators (those who’ve eaten a claim) are maybe 30–40% = 12,000–16,000. At a $39–$79/mo target, the serviceable slice is a $5–10M ARR business well before saturation — perfect bootstrap size, too small for a VC-backed incumbent to chase.
• Why now for them: AI fabrication is starting to be raised against honest operators (“how do I know you didn’t doctor that photo?”), and adjusters are getting trained to distrust loose images. The operator who can hand over a verifiable record stops losing the coin-flip.

5. Product sketch (MVP)

• One-tap guided capture at hook-up and at drop-off: app walks the driver through the standard angles (all four corners, roofline, wheels, interior, odometer) so nothing is missed.
• Every photo and short clip is signed at the moment of capture with time, GPS, and a tamper-evident credential — alter it later and the seal visibly breaks.
• AI damage tagging + plain-English narrative: on-device/vision model auto-flags and labels existing scratches, dents, cracks, and missing parts, and writes the condition summary (“front bumper: 3in scuff, driver-side; pre-existing at pickup”).
• Side-by-side before/after comparison generated automatically when the vehicle is released — new damage highlighted, pre-existing damage greyed out.
• One shareable verification link per job: the claimant, insurer, or court opens it and sees the full signed record plus a “verified untampered” badge — no app install required for the viewer.
• Dispute packet export: a clean PDF (photos, timestamps, GPS map, AI narrative, signature trail) formatted for an insurance claim or small-claims filing.
• Works offline (capture in a dead-zone impound lot, sync later) and integrates with Towbook/TRAXERO via a “attach RigProof link to this call” handoff rather than trying to replace dispatch.

6. AI angle — what’s load-bearing

Two jobs, both load-bearing. First, vision-based damage detection and narration: a driver hooking up a car at 2am will not write “3-inch scuff, driver-side rear quarter, pre-existing.” The AI does it consistently, in seconds, for every vehicle — turning a rushed phone snap into a structured, defensible condition report. Remove it and you’re back to a manual photo dump nobody fills out properly. Second, automatic before/after diffing: the model aligns pickup and drop-off shots and surfaces what changed, which is the exact question every dispute turns on. Without the AI this is a glorified camera app — with it, it’s an evidence machine that does the paralegal-grade documentation work the operator never has time for. The provenance/C2PA layer is plumbing; the AI is what makes the record worth reading.

7. Localization angle (if any)

N/A — this is a US-first play. The wedge is the US legal-dispute / insurance-claim / small-claims environment plus the FMCSA-adjacent towing-industry structure. A localization angle would dilute focus; expansion is to adjacent US verticals (auto-transport, equipment rental, valet/parking, vehicle storage) before any geography move.

8. Business model — path to $1M–$5M ARR

• Pricing: $49/mo per single-truck operator (flat), $79/mo for up to 5 trucks, $149/mo for 6–15. Annual discount to lock retention. One-time “dispute packet” exports included; no per-claim nickel-and-diming (the whole point is they reach for it without hesitation).
• ACV: ~$700/yr blended (mix of solo and small-fleet).
• Rough math to $1M ARR: ~1,430 paying accounts × ~$700/yr ≈ $1M. That’s ~3.6% of the 40,000-business universe — credible for a sharply-targeted SMB tool.
• Rough math to $5M ARR: ~7,100 accounts (~18% of the universe) plus expansion into auto-transport and equipment-rental (same capture engine, different guided checklist). The adjacent verticals are what take it from $1–2M to $5M.
• Expansion path: seats/trucks as fleets grow; a “claim concierge” upsell (we assemble and format the small-claims/insurance packet for you) at $25/dispute; and white-label for motor clubs and insurers who want their contracted towers documenting to standard.

9. Go-to-market wedge — first 100 customers

• Towing trade Facebook groups and forums. Towing is a forum-heavy, word-of-mouth trade. Post genuinely useful “how to survive a damage claim” content + a free dispute-packet template in the big tow-operator Facebook groups and on TowTimes/TruckersReport, with RigProof as the obvious tool. Towers share what saves them money.
• The dispute moment is the trigger. Run tightly-targeted ads (“Accused of damaging a car you towed?”) and rank for the long-tail terms operators search the night they get a claim letter — the legal-FAQ pages prove that search intent is huge and currently served only by personal-injury lawyers.
• Direct outreach to the 40,000. FMCSA / state tow-license rosters are public. Scrape the list, send a 60-second Loom showing a real before/after verification link beating a fake claim, target 2–3% reply → demo → close. First 100 is a few thousand emails, not a mystery.
• Motor-club and insurer angle (channel, later). AAA-contracted and insurer-network towers are required to document; pitch a co-branded standard. One regional motor-club deal seeds hundreds of operators at once.

10. Build complexity — justification

Medium. The capture app, photo/clip storage, and PDF/share-link generation are standard mobile + web work. The C2PA signing and the vision-based damage tagging/diffing are off-the-shelf in 2026 (C2PA libraries are maturing; damage-detection vision models for vehicles already exist for the insurance market). The genuinely fiddly parts are reliable offline capture-and-sync in dead-zone lots, and making the before/after alignment robust enough that the AI narrative holds up under a skeptical adjuster. Call it 3–4 months to a credible v1 for a technical founder plus one mobile-capable engineer.

11. Gating checklist

Gate	Pass?	Note
Legal in target market	✅	Documenting condition is encouraged by the legal ecosystem itself.
Ethical — no harm / dark patterns	✅	Cuts both ways — protects honest towers AND gives owners verifiable records. Net-honest product.
Market exists (evidence above)	✅	40k businesses, $11.8B, towers already pay $109–$429/mo for software.
1–5 person team can build this	✅	Off-the-shelf C2PA + vision; 3–4 month v1.
Launchable with <$50K / ₹40L	✅	Solo/pair build, inference + storage costs modest at SMB scale.

All five pass.

12. Feasibility score

Axis	Weight	Score	Notes
Problem intensity	20	16/20	Real money on the line, recurring, but episodic — felt acutely at claim-time, not daily. Just shy of hair-on-fire.
Demand evidence	15	12/20→12/15	Strong indirect signals (legal ecosystem, 86% claim incidence, paid incumbents) but no direct “towers begging for THIS product” quote yet.
Build feasibility	15	11/15	Standard stack + maturing C2PA + existing vehicle-damage vision models. Offline sync is the only real engineering risk.
Distribution clarity	15	11/15	Named channels (forums, FMCSA rosters, claim-moment search) with plausible math, but conversion on cold tower outreach is unproven.
Revenue mechanics	15	11/15	Pricing benchmarked below Towbook; $1M needs ~3.6% penetration — credible. Churn between disputes is the risk.
Time to first revenue	10	8/10	Pre-sellable to operators who just ate a claim; short trial-to-paid once v1 exists.
Defensibility	10	5/10	Execution + niche-brand moat. Towbook could bolt on C2PA, but won’t prioritize it; first credible-evidence brand in towing wins the word-of-mouth. Copyable, not trivially.
Total	100	74/100

13. Qualitative modifiers

Founder-fit tags

technical-heavy (mobile capture + C2PA + vision) · sales-heavy (cold outreach to 40k blue-collar operators and forum trust-building).

Key assumptions to validate (3–5)

1. Assumption: Towers will pay $49+/mo for dispute-defense specifically, on top of (or instead of) their existing dispatch tool. How to test: 30 operator interviews + a pre-sell landing page; target ≥8% of qualified visitors leave a card/deposit for early access.
2. Assumption: A verifiable record materially improves dispute outcomes (claims dropped, insurers paying out, small-claims wins). How to test: Interview 10 operators who recently fought a claim and a tow-claims attorney; confirm credible-provenance evidence changes the result.
3. Assumption: Damage frequency makes the tool sticky between disputes (else they cancel after winning one). How to test: Survey claim frequency per operator/year; target a high enough rate that “insurance against the next one” justifies a standing subscription.
4. Assumption: Cold FMCSA-roster outreach converts at 2–3% to demo. How to test: 500-email test batch with the Loom before building further.

Risk flags

1. Incumbent bolt-on risk: Towbook/TRAXERO already own the workflow and could add a “verified photo” feature. Mitigation: out-focus them on the dispute-defense edge and own the brand before they notice.
2. Episodic-value churn: Operators may subscribe at claim-time and cancel after winning. Mitigation: annual plans, claim-frequency framing, and the claim-concierge upsell to keep value visible.
3. Provenance-skeptic adoption: Adjusters and judges may not yet recognize C2PA badges, blunting the “verified” payoff early. Mitigation: lead with the plain before/after + AI narrative value (useful regardless) and let provenance be the upgrade as recognition grows.

14. Structured verdict

Score:                  74/100
Verdict:                GO
Confidence:             Medium
Best-fit builder:       Technical founder (mobile + vision) with a sales-hungry co-founder comfortable cold-calling blue-collar operators
Time to revenue:        8–12 weeks (pre-sell at claim-moment, paid trial once v1 ships)
Capital to launch:      $8–15K ($ for inference/storage + outreach tooling; mostly sweat)
Top 3 assumptions to validate first:
  1. Towers pay $49+/mo for dispute-defense — 30 interviews + pre-sell landing page, target ≥8% conversion
  2. Verifiable records change dispute outcomes — 10 post-claim operator interviews + 1 tow-claims attorney
  3. Claim frequency high enough to prevent win-then-cancel churn — operator survey
Kill criteria:
  - Abandon if <8% of 50 qualified operators show buying intent (pre-sell card / deposit)
  - Abandon if post-claim interviews show provenance doesn't change outcomes (then it's a vitamin, not a painkiller)
  - Abandon if Towbook ships a credible C2PA verified-photo feature before your v1 lands

15. Next step — 1-week validation sprint

• Day 1–2: Build a one-page pre-sell site — “Win the next ‘you damaged my car’ fight. Verifiable before/after records for tow operators.” Mock the before/after verification link and the dispute PDF. Stand up a $1 deposit / waitlist-with-card flow.
• Day 3–4: Pull 300 emails from FMCSA/state tow-license rosters and identify 10 active tow-operator Facebook groups/forums. Send the Loom + drop the free “how to survive a damage claim” template. Book 15 operator calls; specifically recruit operators who fought a claim in the last 6 months.
• Day 5: Decide go / no-go on a falsifiable bar: ≥4 of 50 qualified operators leave a deposit/card for early access, AND ≥6 of 15 interviewees confirm they’d have paid to have a verifiable record in their last dispute. Below that, the pain is real but the willingness-to-pay isn’t — shelve or re-aim at auto-transport.