SelectProof

1. One-liner

Auto-captures tamper-proof FMCSA vetting evidence at booking so small freight brokers can defend negligent-selection lawsuits.

2. Trend signal — why now?

On May 14, 2026 the U.S. Supreme Court ruled 9-0 in Montgomery v. Caribe Transport II that state-law negligent-selection claims against freight brokers are not preempted by the FAAAA when safety is the issue. Translation: a broker who booked a load with an unsafe carrier that later caused a crash can now be dragged into state court and held personally liable. The federal shield brokers leaned on for a decade is gone.

The whole industry is scrambling. C.H. Robinson started purging carriers by safety score within two weeks of the ruling. Every law firm with a transport practice has published the same advice: document your carrier-selection process or pay for it in discovery. The industry-recommended “best practice” right now is comically manual — brokers are told to go to safer.fmcsa.dot.gov, pull the Company Snapshot, save it as a PDF named 2026-02-19_USDOT-1234567.pdf, and stash an approval note next to the load. That’s the state of the art. Nobody with 30 loads a day is doing that by hand reliably.

The top 3% of brokerages have compliance teams and enterprise TMS. The other ~24,000 small shops don’t. They’re the most exposed and the least equipped — exactly the gap.

Provenance:

• Signal 1 (demand): Montgomery v. Caribe SCOTUS 9-0 ruling exposes brokers to negligent-selection suits; law firms uniformly advising “document carrier selection or lose in discovery.” — https://www.mwl-law.com/scotus-broker-liability/ — 2026-05-14
• Signal 2 (feasibility): Current workaround is manually saving FMCSA Company Snapshot PDFs + approval notes; FMCSA SAFER/Company Snapshot data is free and public, trivially snapshot-able and AI-summarizable. — https://otrucking.com/resources/guides/fmcsa-company-snapshot/ — 2026-06-04
• Signal 3 (economic): ~25,271 active brokers ($160B industry); only ~1,000 make >$10M (have budgets), leaving ~24,000 small shops underserved; incumbents (Highway/MyCarrierPackets) priced at $50–500/seat/mo. — https://www.freightcaviar.com/freight-broker-statistics/ — 2026-01 Category: Regulatory arbitrage

3. The opportunity

The Montgomery ruling instantly created a compliance liability that didn’t exist three weeks ago for 25,000 businesses. The legal exposure is real, catastrophic (wrongful-death verdicts run into seven figures), and the defense is purely evidentiary: did you exercise reasonable care, and can you prove it?

The incumbents don’t fit. Highway and Carrier Assure are real-time fraud/identity tools — they tell you if a carrier is who they say today. They’re priced for 10–50-seat brokerages ($50–500/seat/mo plus per-carrier monitoring). They are not litigation-evidence systems and most small brokers can’t afford them. The free workaround (manual PDF saving) fails the moment a busy broker forgets, and a manually-saved PDF has zero tamper-evidence — a plaintiff’s lawyer will argue it was backdated.

The 10× play: SelectProof captures the carrier’s full FMCSA safety posture automatically at the exact moment of booking, time-stamps it cryptographically, applies the broker’s own written selection criteria, flags red flags, and produces a litigation-ready evidence packet the broker can hand straight to their insurance defense counsel. Not a vetting tool that competes with Highway — a defensible record the broker keeps regardless of which vetting tool (or none) they use.

4. Target market

• Primary customer: Owner-operator and small freight brokerages in the US — 1 to 15 brokers, roughly $1M–$10M in annual gross revenue, booking 10–100 loads/day. The person who buys is the broker-owner or the ops/compliance lead.
• Why they buy, in their words: “Smaller shops feel the most pressure… higher defense costs, tougher insurance questions, more pressure from shippers to prove how each carrier was selected.” They are scared, their insurer is asking new questions at renewal, and they have no system. They want to sleep at night and pass the insurance audit.
• Rough TAM reasoning: ~25,000 active brokers; strip the ~1,000 large shops with enterprise tooling and you have ~24,000 small/mid brokerages. Even 3% penetration at ~$1,800 ACV = ~$1.3M ARR. The serviceable target is the 4,000 shops doing $1M+ that have real load volume and real exposure.
• Why now for them: The ruling is three weeks old. Insurance renewals over the next 12 months will ask “show me your carrier-selection program.” Brokers without an answer face premium hikes or non-renewal. The buying trigger is external and dated.

5. Product sketch (MVP)

• One-click capture at booking: paste a USDOT/MC number (or push from TMS), and SelectProof pulls the live FMCSA Company Snapshot, BASIC/CSA scores, authority status, insurance-on-file, and crash/inspection history — and freezes a dated snapshot.
• Tamper-evident timestamp: every snapshot is hashed and time-stamped so the record is provably contemporaneous, not backdated — the thing a manual PDF can never claim.
• Your written selection policy, applied automatically: broker defines criteria once (e.g. “no conditional safety rating, insurance on file, authority >6 months”); SelectProof checks each carrier against it and records pass/fail with reasons.
• Red-flag summary in plain English: AI reads the raw FMCSA data and writes the one-paragraph “why this carrier was acceptable (or flagged)” note that the lawyers say you need.
• Per-load evidence packet: every booking gets a permanent, exportable PDF dossier — snapshot + policy check + rationale + timestamp — keyed to the load number.
• Insurance-audit export: one click produces the “here is our carrier-selection program and 90 days of records” package an underwriter asks for at renewal.
• Forgot-to-vet alerts: flags any booked load that has no evidence record before it ships.

6. AI angle — what’s load-bearing

Two places AI does real work, not decoration:

1. Red-flag interpretation & rationale drafting. Raw FMCSA data is a wall of BASIC percentiles, inspection codes, and out-of-service rates. A small broker doesn’t know which numbers matter in a Montgomery-style negligence claim. The model reads the snapshot, identifies the litigation-relevant deficiencies (the same categories Montgomery’s lawyers used — driver qualification, HOS, maintenance, crash rate), and drafts the defensible written rationale in language that holds up. That’s the deliverable lawyers charge $400/hr to produce.

2. Policy reasoning at scale. Mapping a broker’s plain-English selection criteria onto messy, inconsistent FMCSA fields across thousands of carriers is fuzzy-matching work AI is good at and rules engines are brittle at.

Remove the AI and you’re left with a glorified PDF-screenshotter — which is the free workaround. The AI is what turns raw data into a defense.

7. Localization angle (if any)

N/A — this is a US-only play by design. The entire opportunity is a single US Supreme Court ruling against a single US regulatory dataset (FMCSA). There is no localization wedge and forcing one would dilute the product. The narrowness is the moat: a focused US freight-litigation tool beats any generic global compliance suite.

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

• Pricing: $149/mo for solo/small (up to ~30 loads/day), $399/mo for mid (up to ~150 loads/day), usage add-on above that. Anchored well below Highway’s per-seat enterprise pricing — affordable for the long tail.
• ACV: ~$1,800–$4,800. Call blended ACV ~$2,400.
• Math to $1M ARR: ~420 customers × ~$2,400 = ~$1M. Out of 24,000 targets, that’s <2% penetration.
• Math to $5M ARR: ~1,700 customers (~7% of serviceable base) or land a few mid-market shops + an insurance-channel deal (insurers bundling SelectProof as a premium-discount requirement — see GTM). The insurance angle is the realistic $5M lever.
• Expansion path: per-load usage as volume grows; add carrier monitoring (alert when a previously-vetted carrier’s safety score degrades); add a “shipper-facing” report so brokers can prove diligence to their shippers (who are also now nervous). Each is a price-tier bump.

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

• The r/FreightBrokers + freight Twitter/LinkedIn panic. The ruling is the #1 topic in every broker forum right now. Post a genuinely useful “here’s exactly what discovery will ask for and a free template” guide, with SelectProof as the automated version. Direct-DM the brokers actively asking “what do I do about Montgomery?” — they are self-identifying daily.
• Freight insurance brokers & MGAs as a referral channel. Insurers are the ones asking “show me your selection program” at renewal. A broker-insurance agent who can hand clients a $149/mo tool that lowers their loss exposure looks like a hero. Sign 5–10 agencies; each has hundreds of broker clients. This is the highest-leverage channel and the path to $5M.
• FMCSA broker directory cold outreach. The list of 25,000 active brokers with authority is public. Filter to $1M+ shops, send a personalized one-pager: “Montgomery means you now need this — here’s a 90-second Loom of your own carriers vetted.” Expect low single-digit reply but the list is free and huge.
• Transport-attorney co-marketing. Defense lawyers want clients who kept records (easier to defend). Partner with 3–5 firms to recommend SelectProof to their broker clients post-incident and at intake.

10. Build complexity — justification

Low. FMCSA SAFER/Company Snapshot data is free and publicly queryable; capture + hash + store is a standard web stack; the AI summary/rationale is off-the-shelf LLM calls against a known data shape. No proprietary data, no hardware, no model training. The only real engineering care is the tamper-evidence (hashing/timestamping) and reliable FMCSA data ingestion. A technical founder ships a credible v1 in 6–8 weeks; TMS integrations come later as a fast-follow.

11. Gating checklist

Gate	Pass?	Note
Legal in target market	✅	Uses public FMCSA data; helps brokers comply, no legal-advice liability if positioned as evidence capture
Ethical — no harm / dark patterns	✅	Improves road safety incentives and gives small brokers a fair defense
Market exists (evidence above)	✅	25K brokers, three-week-old ruling, uniform legal advice to document
1–5 person team can build this	✅	Off-the-shelf data + LLM + standard stack
Launchable with <$50K / ₹40L	✅	Solo/pair build, free data source, minimal infra

All five pass.

12. Feasibility score

Axis	Weight	Score	Notes
Problem intensity	20	17/20	Hair-on-fire: brand-new catastrophic legal exposure, insurer pressure at renewal. Just shy of 20 because the lawsuit is a tail risk, not a daily cash bleed.
Demand evidence	15	13/15	SCOTUS ruling + uniform legal advice + insurer behavior + active forum panic. Multiple independent signals a skeptic would nod at.
Build feasibility	15	13/15	Free public data, off-the-shelf LLM, standard stack. Tamper-evidence is the only non-trivial bit.
Distribution clarity	15	11/15	Clear channels (forums, insurance agents, FMCSA list) but conversion on cold outreach uncertain; insurance channel is leverage but takes time to land.
Revenue mechanics	15	12/15	Pricing benchmarked below Highway, sane ACV, <2% penetration to $1M. $5M needs the insurance channel.
Time to first revenue	10	8/10	The fear is acute and immediate; can pre-sell during build. Slightly short of 10 because brokers need to feel insurer pressure to pull the trigger.
Defensibility	10	4/10	Data is public; a competitor can copy the capture. Moat is brand-in-niche, insurer relationships, and accumulated per-load record lock-in — real but soft.
Total	100	78/100

13. Qualitative modifiers

Founder-fit tags

technical-heavy · domain-expertise-required — needs someone who can ship clean data ingestion + tamper-evidence and who understands (or partners with someone who understands) freight liability and what discovery actually demands.

Key assumptions to validate (3–5)

1. Assumption: Small brokers will pay $149+/mo now, before they personally get sued, on fear + insurer pressure alone. How to test: 30 cold calls/DMs to $1M+ brokers; measure how many will pre-pay or commit to a paid pilot within 2 weeks.
2. Assumption: Insurers/MGAs will treat documented selection as a premium or underwriting factor and refer the tool. How to test: interview 8–10 freight-insurance agents; ask if a documented selection program changes how they quote/renew.
3. Assumption: Tamper-evident timestamping is a real buying differentiator vs. free manual PDFs. How to test: show both to 10 brokers + 2 defense attorneys; see if the integrity story moves the decision.
4. Assumption: FMCSA data is reliably accessible at the volume/frequency needed without rate-limit or access problems. How to test: build the ingestion spike against SAFER and load-test before committing.

Risk flags

1. Defensibility: Public data means fast clones; an incumbent (Highway) could bolt “evidence locker” onto its product. Mitigate by owning the small-broker + insurance-channel niche they don’t serve and accumulating per-load record lock-in.
2. Platform dependency: Entirely reliant on FMCSA data access. If FMCSA changes access terms or the data format (they were already overhauling MC numbers in 2025), ingestion breaks. Monitor closely.
3. Market timing / legal drift: “Reasonable care” is undefined and will develop through state-by-state litigation. If courts settle on a low bar, urgency softens. Conversely, if a big verdict lands, demand spikes — net upside-skewed but watch it.
4. Positioning/liability: Must position as evidence capture, not legal advice or a guarantee of defense, or the founder inherits liability.

14. Structured verdict

Score:                  78/100
Verdict:                GO
Confidence:             High
Best-fit builder:       Technical founder + freight-liability/insurance advisor
Time to revenue:        6–10 weeks (pre-sell during build)
Capital to launch:      $8–15K ($ for infra, LLM usage, FMCSA ingestion build)
Top 3 assumptions to validate first:
  1. Small brokers pre-pay on fear+insurer pressure — 30 cold DMs, measure paid-pilot commits
  2. Insurers refer/reward documented selection — interview 8–10 freight-insurance agents
  3. Tamper-evidence beats free manual PDFs as a buying trigger — demo to 10 brokers + 2 defense attorneys
Kill criteria:
  - Abandon if <10% of 50 cold-outreach brokers show paid interest within 3 weeks
  - Abandon if no insurance agent will refer after 10 interviews (kills the $5M path)
  - Abandon if Highway/MyCarrierPackets ships an equivalent evidence-locker at small-broker pricing before v1

15. Next step — 1-week validation sprint

• Day 1–2: Build a no-code mock: take 3 real carriers from the public FMCSA directory, manually produce the SelectProof evidence packet (snapshot + AI-style rationale + timestamp). This is the demo asset.
• Day 3–4: DM/call 30 small brokers active in the post-Montgomery forum threads. Show the packet. Ask the only question that matters: “Would you pay $149/mo for this, and can you start a paid pilot this month?” In parallel, call 5 freight-insurance agents and ask if a documented selection program changes their renewal terms.
• Day 5: Go / no-go. Go if ≥5 brokers commit to a paid pilot AND ≥2 insurance agents say documented selection affects underwriting. Falsifiable: if brokers nod but won’t commit money, the fear isn’t yet a budget — shelve and revisit after the first big post-Montgomery verdict.