TurboFlow’s seed round has closed at $6 million, led by Pantera Capital with Susquehanna Crypto and Digital Currency Group participating, as the onchain trading platform targets what founder Tony He calls a structural liquidity gap between Asia-Pacific users and institutional-grade derivatives infrastructure.
The round was structured as a SAFE with token warrants. He, a former co-founder and partner at Amber Group, declined to disclose the company’s valuation. According to Crypto Briefing, TurboFlow was founded in 2024 and combines perpetual futures and prediction markets in a single venue, a pairing the company argues serves overlapping user demand: the desire to express directional views on prices or event outcomes through market-based contracts.
The press release was issued from Singapore on 22 June 2026, though the company has described its operations as centred in Hong Kong, where most of its 30-person core team is based.
TurboFlow Seed Round Context: $19 Billion in Beta Volume
TurboFlow said its platform has been in beta for more than six months, attracting over 15,000 registered users and processing more than $19 billion in trading volume during that period. Minimum position size is $2, with the company positioning its consumer-facing interface over what it describes as institutional-grade liquidity and risk infrastructure.
He framed the company’s ambition in familiar terms for the sector: TurboFlow wants to be the ‘Kalshi of APAC.’ ‘We see a large unfilled gap between Asian users and proper institutional-grade liquidity, and we’re striving to become that bridge,’ He said.
Capital will go towards product development, liquidity infrastructure, and user growth. TurboFlow is also pursuing a market-by-market regulatory approach across Asia-Pacific jurisdictions as prediction market rules continue to evolve across the region, and plans to open parts of its liquidity and risk infrastructure to developers.
Prediction Market Volume Is Accelerating; Kalshi’s Raise Sets the Benchmark
The backdrop for TurboFlow’s raise is a prediction market sector moving fast. Artemis data cited by the company shows prediction market volume reached $64 billion in 2025, nearly four times the prior year. Analysts project annual volume could exceed $325 billion in 2026 and surpass $1.1 trillion by 2030.
On the perpetual futures side, the CoinGecko Research State of Crypto Perpetuals Report 2026 puts centralised perpetual exchange volume at $85.3 trillion for 2025 alone. CoinGecko’s data also shows onchain crypto perpetual futures volume rising from $4.14 trillion to $7.24 trillion year-over-year by January 2026.
Kalshi is the clearest comp. According to the Kalshi newsroom, the company accounts for over 90% of U.S. prediction market activity and the majority of global prediction market volume. Its Series F, a $1 billion raise at a $22 billion valuation led by Coatue with participation from Sequoia Capital, Andreessen Horowitz, IVP, Paradigm, Morgan Stanley, and ARK Invest, values it at double the $11 billion set in its Series E just five months earlier. Over the six months prior to that announcement, Kalshi’s annualised trading volume more than tripled from $52 billion to $178 billion, while institutional trading volume increased 800%.
Kalshi also reported an annualised revenue run rate above $2 billion and has held informal discussions with investment banks about a possible public listing. Business Wire reported that Kalshi, founded in 2018, plans to use the Series F capital to scale into hedge funds, asset managers, proprietary trading firms, and insurance companies.
That is the market TurboFlow is pointing at from the other side of the Pacific. Paul Veradittakit, managing partner at Pantera Capital, stated the firm’s rationale directly: ‘TurboFlow’s vision of making institutional-grade trading infrastructure available to anyone, anywhere aligns with our belief that blockchain technology can create more transparent and inclusive markets.’
The near-term test is whether TurboFlow can convert its $19 billion in beta volume into durable, fee-generating flow as it exits beta and pushes deeper into markets where regulatory frameworks for prediction products remain unsettled.
