Crypto liquidity is scattered across dozens of venues. This four-person startup is building the router that treats all of it as a single order book - and betting that speed, not another exchange, is where the edge lives.
A trader looking at a crypto screen sees a price. What they often get is a worse one. The best quote sits on one exchange, the deepest liquidity on another, the hedge on a third, and by the time an order hops between them, some of the edge has leaked out as slippage. Sequence Markets, a startup in Y Combinator's Winter 2026 batch, is built on that unglamorous gap - the distance between the price you see and the price you fill.
The company's pitch is simple to say and hard to build: package a single market view into one trade, and let a router figure out the path across every venue that matters. In crypto today that means centralized exchanges, decentralized exchanges, perpetual futures, prediction markets, and the growing set of tokenized-asset venues. Each has its own API, its own quirks, its own dashboard. Sequence wants them to behave like one book.
Ask an active crypto trader where their time goes and the answer is rarely the trade itself. It's the plumbing around it: hopping between venues to find the best execution path, managing hedge positions across disconnected systems, wiring up APIs and wallets by hand, and then squinting at the result with little post-trade visibility into how well the order actually filled. Every hop is an opportunity to pay more, move slower, and lose control.
That overhead is invisible on a good day and expensive on a bad one. It shows up as slippage, as missed fills, as reconciliation work nobody enjoys. Sequence Markets frames the whole thing as a tax on trading - a cost that comes not from any single venue but from the space between them.
Sequence isn't launching an exchange. It sits a layer above them. The core is a venue-neutral smart order router - the same idea that reshaped equities execution decades ago - pointed at the messier, faster world of digital assets. The router connects to liquidity sources across venues, compares paths, and executes where the fill is best, with centralized hedge and risk management sitting alongside so positions don't drift apart across systems.
Access comes in four flavors: a terminal for people who trade by hand, and an API, SDK, and MCP interface for the ones that don't. That last one matters. MCP support means an AI agent can trade through the same rails a human does. Build the door wide enough for an agent and you've built it for everyone - the algo desk, the systematic fund, and the person clicking a button.
After the trade, the platform reports on fill quality and execution accountability. It's the part most traders never look at, which is exactly why it's a feature worth having. You can't improve a leak you don't measure.
The interesting bet underneath the product is about time. Sequence wrote its own low-latency networking, routing software, and venue connectivity rather than renting the off-the-shelf path, because the off-the-shelf path was too slow. Internal latency runs around two microseconds - a span so short it's hundreds of thousands of times faster than a human blink - and on benchmarked routes their network moves up to 2.5 times faster than the public internet.
Why does a company selling execution care so much about microseconds? Because in a fragmented market, the venue with the best price changes constantly, and being first to it is the difference between the quote and the fill. Speed isn't a vanity metric here. It's the mechanism that lets "best price" mean something. The unsexy engineering is the moat.
Peter Bai, the CEO, has been near market plumbing since he was a teenager - hired by the Toronto Stock Exchange at 17, then, about a year later, on the trading team of a roughly $13 billion fund. It's an unusually early front-row seat to how real exchanges route, match, and clear, and it shows in what Sequence chose to build.
His co-founder and CTO, Muhammad Awan, is a University of Waterloo engineer and a former founding engineer at a unicorn startup. Before finance he worked on radar, sonar, and industrial machine learning - including defect-detection systems tied to Boeing and SpaceX - the kind of low-level, latency-sensitive work that maps neatly onto building a fast trading network. Between them: one founder who lived inside exchanges, one who builds systems that can't afford to be slow.
The customer list Sequence points at is the professional end of the market: high-frequency and systematic traders, market makers, trading funds, family offices, and asset managers, plus developers wiring up algorithmic and AI-agent workflows. These are the participants who feel fragmentation in their P&L, not just in principle - and the early numbers suggest they feel it. The company reports 150-plus signups in its first week and more than $10 million in test volume within two weeks, against a user base that has traded a cumulative $104 billion elsewhere.
The plan is to start where the pain is sharpest. Crypto is the most fragmented, fastest-moving venue landscape in finance, which makes it the hardest room to solve and the most valuable to get right. From there, the same routing system is meant to extend into prediction markets and tokenized assets - adjacent worlds with the same scattered-liquidity shape. Solve the hard room first, then walk into the easier ones.
Whether Sequence becomes the default execution layer for digital assets or one of several is still an open question - it's a four-person company that launched this year, competing against in-house desks and a field of aggregators and execution platforms. But the thesis is clean, and it's the kind that tends to matter more over time, not less: as markets fragment, the value of stitching them back together goes up.
Interviews and product-demo videos: no public YouTube interview or demo video was found for Sequence Markets at the time of writing. Watch the company's X account and website for launches.
Figures cited (latency, network speed, volume, signups) are company-reported and, where noted, based on internal benchmarks. Sources include Sequence Markets' website and Y Combinator company and launch pages. Some details are approximate.