Swish Analytics — Company Profile

Startup Screen · iGaming / OSB B2B Infrastructure · Three-Lens · REFRESH

Swish Analytics

Odds origination · props pricing · trading software · San Francisco · Re-screened June 12, 2026
Category: B2B odds / props infraStage: Series C (last raise ~2022)Raised: ~$30m totalVerdict: MONITORRefresh trigger: Jan ’26 litigation
Stage
SERIES C
12 years old — beyond entry thesis
Fit
MODERATE+
weighted 2.60 / 4.0
Verdict
MONITOR
event-driven re-screens set
Validation
FANDUEL · BET365
named clients (litigation filings)
Refresh note. Prior screen superseded. Trigger events: the January 2026 odds-misappropriation lawsuit (see the contained litigation section — Swish is plaintiff), the February 2026 Altenar expansion, and the lengthening gap since the last disclosed raise (~2022). Revenue, valuation and team depth remain undisclosed — diligence items, not demerits. No valuation work is attempted.
Lens 1 · VC Profile

Early-Stage Profile & Thesis

Swish Analytics (founded 2014, San Francisco; founder-CEO Joseph Hagen) builds odds origination, risk management and trading software for the core four US sports — the machinery behind expansive pre-match and in-play player propositions, bet requests and pre-built parlays, sold full-bet-lifecycle to operators. Its stated philosophy — oddsmaking as an engineering and mathematics problem, not intuition — has won it the clients that matter: court filings name FanDuel and bet365 among its licensed sportsbook partners, it is an authorized MLB data distributor, and Altenar expanded its partnership in February 2026 to power pitch-level MLB micro-markets with live same-game-parlay plans. Roughly $30m has been raised across six rounds (Bettor Capital, Elysian Park Ventures, Titanium Ventures, Bullpen, SeventySix, R/GA among ~12 investors) — but the last disclosed round was ~$15.7m around 2022, and the company is now twelve years old.

01
What it is
Quantitative odds engine: origination, pricing, risk and trading for US player props and in-play — the highest-growth, hardest-to-price US bet classes — plus a legacy consumer DFS/predictions product that predates the B2B pivot.
02
Who is behind it
Founder-CEO Joseph Hagen; a data-science/engineering bench of undisclosed depth (diligence item). Investor set is sports-specialist (Bettor, Elysian Park — the Dodgers ownership’s fund, SeventySix) rather than quant-trading money.
03
Traction & validation
FanDuel and bet365 as named clients is about as strong as B2B validation gets in this sector; MLB authorized-distributor status hard-wires official data rights for its flagship sport; Altenar extends international distribution.
04
Why it is on the board now
The January 2026 lawsuit asserts its odds are valuable enough to steal at >$100m claimed scale; the funding gap and 12-year age suggest the next corporate event — raise, sale, or judgment — is approaching. Strategic logic for acquirers (data majors, operators, platform parents) is obvious.

What Would Have To Be True

  • US props/in-play continue compounding as a share of handle — the category tide (shared with the Kero thesis).
  • The FanDuel/bet365 relationships are deep, durable revenue, not pilots — the single most important diligence question.
  • The funding gap reflects self-sustaining economics rather than an inability to raise — the second gate.
  • Litigation either resolves favourably (precedent + damages + deterrence) or at minimum does not consume the balance sheet; scraping-vulnerability is mitigated technically, not just legally.
  • For the fund specifically: an entry path exists at sensible terms — a Series C-era company outside the pre-seed/seed thesis only fits via a special situation (secondary, structured round, or pre-exit positioning).

Assessment. Swish is arguably the most validated independent in US odds infrastructure — and simultaneously the least investable for an entry-stage thesis: too old, too quiet on funding, and now carrying litigation as both sword and signal. The asset quality is not in question; the trajectory and the entry point are. That combination is the textbook Monitor.

Contained Section

Litigation Context (Plaintiff-Side)

Status warning: allegations only — contested matter, unproven, no findings. Swish is the plaintiff; the defendants are expected to dispute the claims.

In January 2026 Swish filed suit in the Superior Court of California against OddsJam and OpticOdds (spelled “OpticsOdds” in some coverage), alleging the misappropriation of its proprietary betting odds — scraped from the public-facing sites of its licensed clients, including FanDuel and bet365, then republished and resold — with claimed damages exceeding $100m and a jury trial requested. Screen-relevant readings, stated neutrally: the suit (i) evidences that Swish’s odds output is commercially valuable and identifiably its own; (ii) reveals the structural leak inherent to odds-origination businesses — the product is republished to the world by every client that uses it; and (iii) introduces cost, distraction and outcome risk to a company that has not raised publicly in ~four years. No inference about the merits is made or should be drawn; the docket is a named re-screen trigger.

Lens 2 · Fit-to-Thesis Screen

Investment Screen

Scored against the fund’s weighted fit-to-thesis model under the startup standard: missing data is a diligence gap, not a failure; Weak/Unfit/Pass are reserved for visible, observable problems. Where Swish scores low, the rationale names the observable fact.

Fit scale
0 Unfit 1 Weak 2 Moderate 3 Strong 4 Excellent
Criterion (weight)FitRationale
Differentiation / product (20%) StrongStrong — origination-grade props/in-play pricing trusted by FanDuel and bet365, plus official MLB distribution; not Excellent because the lawsuit itself demonstrates output is replicable by observation.
Sector fit (20%) ExcellentExcellent — pure B2B OSB infrastructure on the fund’s exact axis; props/in-play is the growth core of US betting.
Traction / validation (16%) StrongStrong — two top-tier named clients, league data status, fresh Altenar expansion. Revenue undisclosed (diligence item, not penalised).
Founder / team (12%) ModerateModerate — 12-year founder persistence is real signal; bench depth undisclosed; investor base sports-strategic rather than quant-certifying.
Moat / defensibility (16%) ModerateModerate — affirmative tension visible in the company’s own filing: odds leak through client surfaces by design; defence currently runs through courts rather than technology. MLB rights are the hard offsetting asset.
Risk resolved (16%) WeakWeak (inverted: fuller = less unresolved) — observable facts, not gaps: ~4 years since the last disclosed raise at Series C age, and active litigation with attendant cost and outcome risk. These are visible, scored as such.
Overall fit ModerateModerate–Strong boundary — weighted 2.60/4.0; high asset quality pulled down by visible trajectory risk.
‘Risk resolved’ is inverted: a fuller ball = less unresolved risk. Weighted score: 0.20×3 + 0.20×4 + 0.16×3 + 0.12×2 + 0.16×2 + 0.16×1 = 2.60.
Action band (weighted score / 4.0)
≥2.75 ENGAGE — founder contact / diligence1.75–2.74 MONITOR — tracked, re-screen on events<1.75 PASS — affirmative problems observed

Verdict

MONITOR (weighted 2.60/4.0 — inside the Monitor band; prior screen superseded). Not an entry-stage opportunity: the company is a decade past the fund’s seed thesis and its next move is event-shaped. But it is precisely the kind of name the Monitor tier exists for — high-quality, strategically demanded infrastructure approaching a corporate inflection. Re-screen immediately on: any funding event (up, down, or structured — each tells a different story); material litigation developments in either direction; M&A noise involving Swish or its closest comparables; or loss/gain of a tier-1 client. An approach by a strategic acquirer would flip coverage to the precedent-transaction format.

Lens 3 · Competitor Teardown

Competitive Landscape & Moat

Swish sits one layer below the micro-market engines in the stack — it originates and risk-manages the odds themselves — which places it in partial competition and partial complementarity with the names in our adjacent Kero Gaming screen (June 2026).

PlayerStatusPosition vs Swish
Sportradar / GeniusData majorsThe structural ceiling: own official data at league scale and sell competing odds/trading services; also the most logical acquirers
Kero GamingIndependent (our screen: ENGAGE, Jun ’26)Adjacent layer — micro-market generation atop priced feeds; overlapping at in-play props; Kero is younger, smaller-funded, faster-moving
nVenueIndependentPredictive micro-markets; media-aligned; queue-listed for our next screen — the three independents form the investable set
HuddleIndependentIn-play odds and trading; the closest like-for-like origination competitor
Simplebet / BanachAcquired (DKNG 2024 ≈$150m rumored / PointsBet 2021 $43m)The category’s exit precedents — both prices apply as much to Swish as to Kero
OddsJam / OpticOddsLitigation counterpartiesDownstream odds-data resellers; the dispute defines where origination value can leak
In-house operator buildsPermanentFanDuel-class clients can internalise; every B2B odds supplier’s terminal risk

Moat Stress-Test

  • Pricing accuracy on hard markets — player props and in-play are the most model-intensive US bet classes; holding FanDuel and bet365 is evidence the models clear the bar.
  • Official data rights (MLB) — a contracted, hard moat for the flagship sport, and the structural advantage over data-dependent peers (the exact squeeze we scored against Kero).
  • Bet-lifecycle breadth — origination + risk + trading + settlement is harder to displace than a single feed; switching costs at tier-1 integrations are real.
  • The observation leak — the moat’s known breach, per Swish’s own complaint: published odds are copyable in real time. Legal remedies deter; they do not seal.
  • Capital asymmetry — against data majors and operator in-housing, ~$30m of lifetime funding is thin armour; scale must come from revenue or a partner.
Evidence Map

What Is — And Isn’t — Knowable

Known (sourced)Unknown (diligence items)
Founded 2014, San Francisco; founder-CEO Joseph HagenRevenue / ARR, growth and profitability; whether the funding gap means self-sufficiency or constraint
~$30m raised over 6 rounds ($29.3–30.5m across databases); last disclosed ~$15.7m circa 2022; ~12 investors incl. Bettor, Elysian Park, Titanium, Bullpen, SeventySix, R/GACurrent valuation, cap-table state, runway
Clients named in court filings: FanDuel, bet365; Altenar partnership expanded Feb 2026 (MLB micro-markets, live SGP roadmap)Contract depth, term, concentration and pricing with each tier-1; pipeline
Authorized MLB data distributorStatus and economics of data rights beyond MLB (NBA/NFL/NHL)
Jan 2026: plaintiff suit vs OddsJam & OpticOdds; >$100m claimed damages; jury trial requested (allegations unproven; no findings)Litigation cost run-rate, insurance, settlement posture; technical anti-scraping mitigations
Legacy consumer DFS/predictions product still liveWhether B2C is revenue, distraction, or strategic data loop
Database figures (totals, founding year, stage) from PitchBook / CB Insights / Tracxn — minor inter-source variance noted inline. Company-claimed and court-claimed figures labelled.
Synthesis

Strengths, Open Questions & Outlook

Strengths

  • Tier-1 validation at the absolute top of the market: FanDuel and bet365 do not integrate hobby-grade pricing.
  • Official MLB data distribution — the hard-asset answer to the data-dependency squeeze that constrains every peer.
  • Full bet-lifecycle product breadth in the highest-growth US bet classes (props, in-play, SGP).
  • Twelve years of founder persistence through multiple industry cycles — survivorship as signal.

Open Questions

  • Why no disclosed raise since ~2022 — strength or stall? Everything downstream depends on this answer.
  • How concentrated is revenue in the two named tier-1s, and what would in-housing at either do?
  • What does the lawsuit cost annually, and is the scraping leak being engineered away or only litigated?
  • Is there any entry path consistent with a seed-stage thesis — or is this name only actionable as a special situation or precedent comp?

Outlook

Twelve-month base case: an event resolves the ambiguity — a raise (re-screen on terms), a strategic acquisition (flip to precedent format; the Banach $43m and rumored Simplebet ≈$150m brackets apply), or litigation news that reshapes the economics. Absent any event, the Monitor verdict stands and the position costs nothing but attention.

VERDICT: MONITOR (supersedes prior screen). Quality asset, wrong stage, event-shaped future. The calibration contrast with our Kero screen is deliberate: Kero (2.76) earns Engage on entry-stage fit and unresolved-but-benign gaps; Swish (2.60) earns Monitor on visible trajectory facts — the funding gap and the litigation load — despite stronger validation. We stay tough on what is visible and patient with what is not. Triggers: funding event, litigation development, tier-1 client change, M&A noise across the independent set (Swish, Kero, nVenue, Huddle).

SOURCES & FLAGS. Press-sourced: lawsuit vs OddsJam/OpticOdds, >$100m claimed damages, FanDuel/bet365 named as clients, Superior Court of California, jury demand (Gaming America, Jan 2026 — ALLEGATIONS UNPROVEN, NO FINDINGS, defendants expected to contest); Altenar MLB expansion (trade coverage, Feb 2026 — low-quality source, corroborated by prior Altenar relationship). Database-sourced: founded 2014, SF, Series C, ~$30m total ($29.3m PitchBook / $30.0m CB Insights / $30.5m Tracxn — variance noted), last round ~$15.7m circa 2022, investor list (PitchBook/CB Insights/Tracxn/Crunchbase); founder-CEO Joseph Hagen (Tracxn/ZoomInfo); MLB authorized distributor (ZoomInfo/company materials). No financials stated because none are public; none estimated. Prior screen superseded by this refresh.

DISCLAIMER. Early-stage screening commentary for informational purposes; not investment advice or an offer. No valuation expressed or implied. Litigation matters are reported as contested allegations only.

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