BettorToken — CEO Introduction Transcript (v2) ============================================ Speaker: Matthew Taylor, Founder, President & CEO, BettorToken Runtime: 4:15 (PT4M15S) Recorded: 2026 Supersedes: v1 transcript dated 2026-04 (2:27 runtime) Note on the avatar: This video uses an animated AI likeness of the speaker. The script, the numbers, and the substance are the CEO's. We use an animated likeness so this message stays consistent across viewers and stays current as the business evolves. ---------------------------------------------------------------- 0:00 THE THESIS — STRONG OPEN There is no other institutional vehicle like this. Every allocation in your typical institutional book — equities, bonds, real estate, private equity, credit — different wrappers, same inputs. Rates. Inflation. War. Tariffs. Supply chains. When a macro shock hits, the correlations converge. The diversification you thought you had stops working at exactly the moment you needed it. I'm Matthew Taylor — founder and CEO of BettorToken. We built the first institutional vehicle priced by sports performance — not by stocks, bonds, or real estate. When our AI models perform well, the assets perform well. Nothing else moves them. No earnings call. No Fed minutes. No geopolitical headline. Just whether the model called it correctly. That structural property — true uncorrelation to the inputs that price every other asset class — is what allocators have been looking for and have not had access to. Until now. Thank you for taking three minutes. I want to give you the substance of what we built, what it returned in fiscal year one, and who we built it for. No pitch — just operator-to-allocator clarity. ---------------------------------------------------------------- 0:50 THE +76.50% FY1 RESULT, IN PLAIN ENGLISH In our first full fiscal year — April 2025 to April 2026 — our SPLT credential's NAV moved from one dollar to one dollar seventy-six fifty. That's a positive seventy-six and a half percent Annual Differential. It is one fiscal year, single period — not yet a track record. Independent CPA attestation is engaged. The records are not yet audited. We disclose all of that openly, because allocators sizing on a single year of any number are sizing on too little data. What I want you to notice is not the magnitude. It's the *direction* against the same window. While that result was being booked, the macro book was being repriced by the same shocks ours never saw. Two regimes. Same calendar year. Different outcomes. ---------------------------------------------------------------- 1:20 HOW IT WORKS — THE AI IS THE ENGINE The return doesn't come from picking winners. It comes from our AI models — proprietary analytics built around regulated U.S. sports markets — and from the discipline of rejecting almost everything those models look at. Out of every thousand markets we screen, fewer than three meet our threshold. The ninety-nine point seven percent we say no to is what makes the zero point three percent we say yes to mean something. The discipline is the product. If our analytical edge degrades, the inputs change, or competitive structures shift, the rejection rate is what protects allocators — not promises about future returns. The models pass the test or they don't. When they pass, the asset rises. When they don't, we don't trade. There is no other macro variable in that loop. ---------------------------------------------------------------- 2:00 WHO THIS PLATFORM IS BUILT FOR We built BettorToken for accredited investors and qualified institutional allocators. Family offices looking for true diversification. Registered investment advisers running fee-only practices for sophisticated clients. Institutions allocating from a credit sleeve, an alternatives sleeve, or a satellite sleeve where uncorrelated return is the actual mandate. We did not build this for retail. We are not a sportsbook, not a cryptocurrency, and not a public security. If you are not accredited, this platform is not for you, and we want to be clear about that on the way in. ---------------------------------------------------------------- 2:25 FYN AND SPLT, SIDE BY SIDE Two instruments, two ways to access the same uncorrelated engine. FYN is a twelve-month senior unsecured corporate note paying fifteen percent fixed yield at maturity. Million-dollar minimum. Contractual obligation independent of platform performance — you take Company credit risk; we take operational risk above the fifteen percent spread. SPLT is a five-year non-transferable utility credential, NAV- linked, with a five-hundred-thousand-dollar minimum. Annual reset every April. Non-security per outside counsel's legal opinion under the Howey four-prong analysis. FYN is for allocators who want defined-term credit exposure with the uncorrelated underlying. SPLT is for allocators who want direct NAV alignment over a longer duration. Some sophisticated investors participate in both. ---------------------------------------------------------------- 2:55 CLOSING — CANDOR ON BOTH SIDES Whether you allocate, decline, or push back — we want candor on both sides. The fastest path to fit is to read the diligence package under NDA, ask hard questions, and decide on substance. If we are the right counterparty for your mandate, we will know quickly. If we are not, that is also useful information for both of us. The asset class is new. The discipline is institutional. The candor is non-negotiable. Thank you for the time. ---------------------------------------------------------------- 3:15 END ============================================ For the diligence package, NDA, and verified-investor process, visit: https://bettortoken.com/access To schedule a 15-minute introduction: https://bettortoken.com/schedule ============================================ ---------------------------------------------------------------- NOTES FOR RECORDING & PRODUCTION ---------------------------------------------------------------- PACING — The strong-open thesis section (0:00–0:50) is the most weight-bearing minute. Resist the temptation to rush through "different wrappers, same inputs" — let it land. The line "That structural property — true uncorrelation to the inputs that price every other asset class" is the brand-thesis sentence. It needs space. EMPHASIS — Words that should carry vocal weight: • "no other institutional vehicle like this" (open) • "first institutional vehicle priced by sports performance" (0:35) • "Until now" (0:48 — pause before) • "direction against the same window" (1:08) • "discipline is the product" (1:35) • "no other macro variable in that loop" (1:55) • "candor is non-negotiable" (3:08) CHAPTER MARKERS for the on-page transcript embed — these are the six anchors `data-bt-seek` should use after recording, replacing the v1 timestamps (estimated; verify against the actual recording): 0:00 The Thesis 1:00 The +76.50% Result 1:35 How It Works — AI as Engine 2:25 Who This Is Built For 2:55 FYN and SPLT, Side by Side 3:30 Closing — Candor on Both Sides WHAT WE KEPT FROM v1 (deliberately): • The "no pitch — operator-to-allocator clarity" framing • Full +76.50% disclosure including "not yet a track record" and CPA-engagement language • The 99.7% rejection-rate moment (now folded into "How It Works" as part of the AI-engine explanation rather than its own chapter) • The "we are not a sportsbook, not a cryptocurrency, not a public security" disambiguation • Both instruments' full term sheets with the credit-risk vs NAV-alignment distinction • The "decline or push back" closing — this is core BettorToken voice and pairs with the Pushback section on the homepage WHAT'S NEW IN v2: • Strong-open thesis (0:00–0:50) — replaces the soft opener • "Two regimes, same calendar year, different outcomes" callback to the homepage section the brand thesis lives in • AI-as-engine framing in the How It Works chapter (1:20–2:00) • "True diversification" explicitly named in Who This Is Built For • "Two ways to access the same uncorrelated engine" framing on the FYN/SPLT side-by-side • New closing tag line: "The asset class is new. The discipline is institutional. The candor is non-negotiable." ============================================