Klyo Markets
A centralized platform for prediction market data, offering analytics for event contract traders.
Website: https://klyomarkets.com/
Cover Block
Open sources
| Attribute | Details |
|---|---|
| Name | Klyo Markets |
| Tagline | A centralized platform for prediction market data, offering analytics for event contract traders. |
| Headquarters | Australia |
| Founded | 2026 |
| Stage | Pre-Seed |
| Business Model | B2B |
| Industry | Fintech |
| Technology | Software (Non-AI) |
| Geography | Oceania |
| Growth Profile | Venture Scale |
| Founding Team | Solo Founder |
Links
Open sources The company maintains a minimal public web presence, with the primary source of information being its landing page. No corporate social media accounts or developer repositories have been publicly linked to the venture.
- Website: https://klyomarkets.com/
- LinkedIn: https://www.linkedin.com/in/jackson-semenas-4285b937b
What an Investor Needs First
Open sources Klyo Markets is building a centralized analytics platform for prediction market data, a bet on the institutionalization of a historically retail and crypto-native trading category. Founded in 2026 by a solo quantitative trader, the company is attempting to bring tools like fair value calculations, volatility term structures, and consolidated tick history to participants trading event contracts on venues like Kalshi and Polymarket [klyomarkets.com, September 2026]. The founding thesis appears to be that as capital flows into prediction markets from more sophisticated players, the demand for professional-grade data and research will create a new software layer.
The founder, Jackson Semenas, brings a relevant profile as a systematic trader with four years of experience and a parallel venture in quantitative trading education [LinkedIn, retrieved 2026]. The product, currently in a pre-launch waitlist phase, promises to normalize data across venues and turn contract quotes into tradable signals [klyomarkets.com, September 2026]. There is no public record of institutional funding, customer deployments, or commercial traction, placing the company in a classic pre-seed, founder-and-idea stage.
For investors, the next 12-18 months will be defined by the company's ability to convert its waitlist into paying users, secure initial capital to build out its data infrastructure, and demonstrate that its analytics provide a measurable edge over manual analysis or existing market data feeds. The primary risk is that the total addressable market for paid institutional analytics in prediction markets remains nascent, while the execution burden of aggregating and normalizing disparate data sources is high for a solo founder.
Partially corroborated -- Product claims are sourced from the company's website; founder background is self-reported on LinkedIn. No independent verification of traction, funding, or market demand.
Taxonomy Snapshot
| Axis | Classification |
|---|---|
| Stage | Pre-Seed |
| Business Model | B2B |
| Industry / Vertical | Fintech |
| Technology Type | Software (Non-AI) |
| Geography | Oceania |
| Growth Profile | Venture Scale |
| Founding Team | Solo Founder |
Inside the Company
Open sources
Klyo Markets is an Australia-based startup founded in 2026, conceived as a centralized data platform for event contract traders. The company's origin is tied directly to its solo founder, Jackson Semenas, a quantitative trader who began publicly listing Klyo Markets as his venture in August of that year [LinkedIn, September 2026]. The founding premise is to apply institutional-grade analytics,a domain where Semenas has direct experience,to the fragmented data feeds of prediction markets and related event venues.
The company's legal structure and exact headquarters location within Australia are not detailed in public registries or on its website. Its primary public presence is a pre-launch landing page that invites potential users to join a waitlist, indicating the company is in an early, operational build phase as of late 2026 [klyomarkets.com, September 2026]. No incorporation documents, seed funding announcements, or partnership milestones have been reported by independent business publications.
Jackson Semenas's background provides the clearest narrative for the company's formation. Prior to Klyo, he founded JS Financials in May 2023, an entity focused on quantitative trading research and education [LinkedIn, September 2026]. His work there involved developing systematic trading models, which he later adapted to prediction markets, building a bespoke system designed to profit from them [SBS News, 2026]. This technical foundation appears to have directly informed the analytics product Klyo Markets is now developing. The founder is also currently pursuing an Honours degree in Finance, Economics, and Statistics at the Australian National University, commencing in 2027 [LaunchPass, 2026].
Partially corroborated -- Founding date and founder details are self-reported on LinkedIn and a company website; no independent corporate record verification.
Under the Hood
Reported and inferred
Klyo Markets positions itself as a centralized data and analytics layer for the fragmented prediction market ecosystem. The company's stated goal is to turn raw event contract quotes into structured, tradable signals, a service currently marketed to quantitative funds, proprietary trading firms, and individual traders [klyomarkets.com, September 2026]. The platform's initial focus is on aggregating and normalizing data from leading venues like Kalshi and Polymarket, with plans to include other event venues.
The product, as described on its pre-launch website, offers a suite of institutional-grade analytics. This includes calculated metrics like fair value, volatility term structure, and liquidity depth, alongside the provision of full tick history [klyomarkets.com, September 2026]. A live demo table on the site displays selected contracts with real-time bid, ask, and last prices, suggesting the backend is already ingesting and processing live market data. The technology stack is not publicly disclosed, but the nature of the service implies a need for high-frequency data ingestion, robust API integrations with multiple exchanges, and computational engines for derivative analytics.
Currently, the company is in a pre-launch phase, operating a waitlist for potential users. There is no public information on a formal product launch date, pricing, or the existence of a live, customer-facing platform beyond the demo table. All product claims originate from the company's own marketing materials and the founder's LinkedIn profile.
Partially corroborated -- Product claims are sourced solely from the company's website and founder's profile; no independent verification of a live product or customer usage exists.
Market Research
Open sources
A market for institutional-grade analytics in prediction markets is emerging precisely as the underlying venues are seeing increased capital flows and regulatory scrutiny, creating a demand for the quantitative tools that define mature financial markets. The core thesis for Klyo Markets is that event contract trading, spanning political, financial, and sports outcomes, is transitioning from a niche activity to a more formalized asset class, a shift that historically necessitates dedicated data and analytics infrastructure.
Quantifying the total addressable market for such a specialized data service is challenging, as the prediction market industry itself is nascent and often operates in regulatory gray areas. Public sizing estimates for the broader prediction market sector are scarce. For context, the global sports betting market, a key adjacent and more established substitute market, was valued at approximately $83 billion in 2022 and is projected to grow to over $182 billion by 2030, according to a Grand View Research report [Grand View Research, 2023]. While sports betting is a distinct activity, the underlying demand for probabilistic analysis on event outcomes creates a relevant analog for the potential scale of a data analytics layer. The SAM for Klyo would be a fraction of this, targeting the subset of professional and institutional participants across prediction markets, sports betting desks, and pre-IPO trading who require normalized, tick-level data.
Demand drivers are identifiable. First, the growth of platforms like Polymarket and Kalshi has demonstrably increased trading volumes and public attention on event contracts, particularly around political and macroeconomic events [SBS News, 2026]. Second, the founder's background highlights a trend of quantitative traders and systematic funds exploring these markets for alpha, a group that inherently requires robust data feeds [LinkedIn, retrieved 2026]. Third, the regulatory landscape, while a headwind, also acts as a catalyst for professionalization; as markets seek legitimacy, the need for transparent, auditable pricing and risk metrics grows.
The regulatory and macro environment presents the most significant market force. Prediction markets face outright bans in jurisdictions like Australia, where Klyo is based, and operate under complex financial regulations in the US [SBS News, 2026]. This creates a persistent overhang that can cap growth and deter institutional capital. However, it also creates a barrier to entry and may concentrate demand among a smaller cohort of sophisticated, often offshore, entities willing to navigate the complexity, which aligns with Klyo's stated focus on "quantitative funds" and "proprietary trading firms" [klyomarkets.com, retrieved 2026]. The expansion into pre-IPO equity trading analytics suggests an attempt to diversify into a less contentious, though highly competitive, adjacent market.
Global Sports Betting Market 2022 | 83 | $B
Global Sports Betting Market 2030 (projected) | 182 | $B
The projected near-term doubling of the global sports betting market illustrates the scale of capital and analytical demand flowing into event-outcome trading, a relevant, if imperfect, proxy for the potential trajectory of the prediction market analytics niche Klyo targets.
Partially corroborated -- Market sizing is drawn from an analogous sector report; prediction market-specific sizing is not publicly available from cited sources.
Competition and Substitutes
Reported and inferred Klyo Markets positions itself not as a direct competitor to prediction markets but as a data and analytics layer that sits atop them, aiming to serve participants who currently rely on fragmented or self-built research tools.
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| Klyo Markets | B2B analytics platform for prediction market data. | Pre-Seed, no confirmed funding. | Aggregates fair value, volatility, and tick history across multiple event venues into a single feed. | [klyomarkets.com, September 2026] |
| Polymarket | Decentralized prediction market exchange. | Venture-backed, raised $70M+ across multiple rounds. | Largest decentralized platform by volume, built on Polygon with a crypto-native user base. | [Bitcoin Foundation, 2026] |
| Kalshi | Regulated US prediction market exchange. | Venture-backed, raised $36M Series A in 2021. | Only CFTC-regulated exchange for event contracts, targeting a mainstream US audience. | [SI.com, 2026] |
The competitive map for prediction market analytics is nascent and largely unoccupied by dedicated third-party vendors. The primary incumbents are the exchanges themselves, which provide basic charting and order book data to their own users. This creates a fragmented landscape where a trader active on both Kalshi and Polymarket must navigate two separate interfaces and data sets. Adjacent substitutes include generalist financial data terminals like Bloomberg, which do not yet offer dedicated modules for event contracts, and the bespoke spreadsheets or scripts built by quantitative trading desks. The lack of a consolidated, institutional-grade data vendor is the gap Klyo seeks to fill.
Klyo's potential edge today is rooted in founder expertise and first-mover timing in a niche. Jackson Semenas's background as a solo quant trader who built a system for prediction markets [SBS News, 2026] suggests a product built by a user, for users. The proposed offering of cross-venue normalization and volatility term structure is a technical differentiator not broadly available. This edge is perishable, however, as it relies entirely on execution speed and data quality before an incumbent exchange or a well-funded analytics startup decides to build or acquire similar capabilities. Defensibility would come from network effects among a concentrated user base of funds and market makers, but that network does not yet exist.
The company is most exposed on two fronts. First, the core exchanges could easily decide to enhance their own analytics suites or launch official API data products, rendering a third-party aggregator redundant. Second, the venture is undercapitalized relative to the technical and sales challenge of serving institutional clients. A competitor with deeper pockets, such as a data giant like Refinitiv or a quantitative research firm expanding its coverage, could replicate the data aggregation and layer on superior distribution, brand trust, and existing enterprise relationships that Klyo lacks.
The most plausible 18-month scenario hinges on whether Klyo can secure seed funding and convert its waitlist into a critical mass of paying institutional users. If it succeeds, it becomes the de facto data provider for a growing professional prediction market ecosystem, a winner if institutional capital flows into the space. If it fails to gain traction or secure capital, it is likely to be overtaken. The loser in that case would be Klyo itself, as a larger player with existing B2B data distribution, perhaps a firm like Numerai (which operates a hedge fund based on crowdsourced data science) or Kaiko (a crypto market data provider), could pivot to cover prediction markets with greater resources.
Partially corroborated -- Competitor profiles are based on public reporting; Klyo's positioning is confirmed by its website. The competitive analysis and scenario are analytical inferences.
Opportunity
Open sources The opportunity for Klyo Markets rests on establishing a critical data infrastructure layer for a nascent but rapidly evolving financial ecosystem.
The headline opportunity is to become the Bloomberg Terminal for prediction markets and event contracts. This outcome is reachable because the company is targeting a structural gap: while platforms like Polymarket and Kalshi provide the trading venue, they do not currently offer the standardized, multi-venue analytics and normalized data feeds that institutional participants require [klyomarkets.com, retrieved 2026]. The founder’s background in quantitative trading directly aligns with the need for the proposed product suite, suggesting an understanding of the customer’s workflow [LinkedIn, retrieved 2026]. If prediction markets continue to grow in scale and legitimacy, the first mover to provide professional-grade tooling for this asset class could capture significant mindshare and become the default research platform.
Two distinct growth scenarios outline plausible paths to scale.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Institutional Onboarding | Klyo becomes the primary analytics provider for quantitative hedge funds and proprietary trading firms entering prediction markets. | A major fund publicly cites Klyo’s data as a key input for a new prediction-market strategy. | The founder’s experience and network are in quantitative trading, and the website explicitly lists "Quantitative fund" and "Proprietary trading firm" as target user types [klyomarkets.com, retrieved 2026]. |
| Regulatory Tailwind | Regulatory clarity in a major market (e.g., Australia, the UK) legitimizes prediction markets for a broader set of financial instruments, driving a surge in professional participants. | A regulatory body approves a new category of event-based derivatives, creating demand for compliant data and analytics. | Prediction markets are a topic of active regulatory discussion and media coverage, indicating a growing, if uncertain, landscape [SBS News, 2026]. |
What compounding looks like is a classic data network effect. Each new institutional subscriber contributes to the platform’s liquidity depth analysis and volatility models, making the aggregated data more valuable for all users. Early adoption by sophisticated traders could generate a reputation for having the most accurate "fair value" calculations, attracting more users whose trading activity further refines those models. The website’s display of real-time contract data across venues is a foundational step toward this flywheel, though it remains in a pre-launch, waitlist phase [klyomarkets.com, retrieved 2026].
The size of the win can be framed by looking at comparable data and analytics platforms in adjacent markets. For instance, companies like Similarweb, which provides web traffic and intelligence data, reached a public market capitalization of approximately $1.5 billion. A scenario where Klyo Markets becomes the dominant data provider for a multi-billion dollar prediction market ecosystem could support a valuation in the high hundreds of millions, assuming it captures a meaningful portion of the professional user base. This is a scenario-based outcome, not a forecast, but it illustrates the potential scale if the institutional adoption scenario plays out.
Partially corroborated -- The opportunity analysis is based on the company's stated positioning and founder background, but lacks independent verification of market demand or traction.
Sources
Open sources
[klyomarkets.com, September 2026] Klyo Markets | Analytics for prediction markets and event contracts | https://klyomarkets.com/
[LinkedIn, September 2026] Jackson Semenas - Founder and CEO - Klyo Markets | LinkedIn | https://www.linkedin.com/in/jackson-semenas-4285b937b
[SBS News, 2026] These betting markets are banned here but they're drawing in young Australians | SBS News | https://www.sbs.com.au/news/the-feed/article/prediction-markets-betting/keoixyv9o
[LaunchPass, 2026] JS Financials Quantitative Trading Community on LaunchPass | https://www.launchpass.com/js-financials/quantitativetrading
[Grand View Research, 2023] Sports Betting Market Size, Share & Trends Analysis Report | https://www.grandviewresearch.com/industry-analysis/sports-betting-market
[Bitcoin Foundation, 2026] Best Prediction Markets - Kalshi vs Polymarket | https://bitcoinfoundation.org/news/prediction-markets/top-5-prediction-markets-compared/
[SI.com, 2026] Apps Like Kalshi in 2026 | Best Prediction Market Alternatives | https://www.si.com/prediction-markets/reviews/apps-like-kalshi
Articles about Klyo Markets
- Klyo Markets Turns Prediction Market Quotes Into Institutional Signals — The Australian startup, founded by a solo quant trader, is building a centralized analytics platform for event contracts on Kalshi and Polymarket.