Sequence Markets

The problem: fragmented digital‑asset liquidity and execution quality

Institutional and active investors face fragmented liquidity across centralized exchanges (CEXs), OTC desks, and decentralized venues. Prices, fees/rebates, latencies, and fill probabilities vary widely across venues and time. Traditional OMS/EMS tools in crypto are uneven, and best‑execution requirements are rising as institutions enter the asset class. This results in measurable slippage, inconsistent routing, and higher total execution cost, especially in 24/7 markets.

Sequence Markets’ solution: venue‑neutral smart order routing and an Execution OS

Sequence builds a non‑custodial, venue‑neutral smart order routing platform that aggregates real‑time order‑book depth across major exchanges, unifies venue connectivity, and routes orders to the venue with the best effective price/liquidity when adjusted for latency, fees/rebates, and historical fill probabilities. The platform is positioned as a unified Execution OS for institutions to manage routing, analytics, monitoring, and risk controls across CEX, OTC, and tokenised markets, with regulatory‑grade logging for transparency.

Core feature set and technology approach

Key features include real‑time depth aggregation, dynamic fee and rebate tracking, latency‑adjusted pricing, fill‑probability models, centralized order management, real‑time execution analytics, risk controls/limits, and exhaustive logging of routing decisions, costs, and slippage. Technologically, Sequence emphasises a Rust & C++ routing engine for microsecond‑level processing, AI‑driven routing via reinforcement learning, and an LLM‑powered trading interface enabling natural‑language order entry.

Value proposition and operating targets

The value proposition centres on lowering total execution cost and slippage while improving reliability and transparency for institutions, brokers, and funds. The site calls out target improvements such as 5+ bps slippage improvement, 95%+ routing success, 99.9% uptime, and sub‑5 ms latency, benchmarks designed to appeal to latency‑sensitive and best‑execution‑conscious users.

Market overview and trends

The digital‑asset execution market for institutions is defined by fragmented liquidity, extreme venue heterogeneity, and 24/7 operation across CEXs, OTC desks, and DeFi. 2025 saw exceptionally high derivatives activity (Top 10 perpetual CEXs logged ~$24 T in Q3) and spot CEX volumes peaking at $9.7‑$10.3 T monthly. DEXs remain smaller but meaningful (nearly $1 T for Top 10 in Q3) with ongoing innovation in MEV protection and batch auctions. Regulatory and fiduciary demands around best execution, auditability, and risk controls are intensifying as institutional participation grows.

Competitive landscape (institutional routing and prime)

• Talos – Institutional trading connectivity/EMS platform with multi‑venue access and smart routing.

• CoinRoutes – Institutional SOR and algorithmic execution provider offering consolidated market data and routing.

• FalconX – Leading prime brokerage providing deep liquidity, financing, and advanced technology solutions to top institutions.

• Coinbase Prime – Prime broker for institutions with custody, trading, and smart routing within the Coinbase ecosystem.

• DeFi aggregators (e.g., CoW Swap, 1inch) – Focus on best prices across DEXs and MEV protection, relevant for on‑chain execution.

Sequence Markets’ positioning vs. competitors

Sequence differentiates with (1) strict venue neutrality and non‑custodial design, (2) AI‑driven routing via reinforcement learning, (3) a low‑latency Rust/C++ execution engine aimed at microsecond processing, and (4) an LLM‑powered trading interface plus comprehensive regulatory‑grade logging. Prime brokers bundle custody/financing/liquidity and may route internally, while DeFi aggregators concentrate on on‑chain price discovery rather than cross‑CEX routing and institutional controls.

Advantages, challenges, and target users

Advantages likely include lower total execution cost through slippage reduction and fee‑aware routing, transparency from detailed decision logs, and flexibility from venue neutrality. Challenges involve competing with incumbent institutional stacks already embedded with primes and large EMS/OMS vendors, the need for broad certified integrations and uptime SLAs, and continuous model tuning to reflect rapidly shifting microstructure. Primary target users are institutions, brokers, and funds that require best‑execution tooling across multiple venues while retaining existing custodians/exchanges.

Overview and team context

Sequence Markets presents itself as an execution‑technology company focused on digital assets and tokenised markets, operating at the intersection of market‑structure research, low‑latency engineering, and AI‑driven decision systems. The team’s skill set spans exchange microstructure, HFT‑style systems engineering (Rust/C++), and applied AI for execution optimization.

Founders

According to Y Combinator, the active founders are Muhammad Awan and Peter Bai (YC W26). YC lists the company as founded in 2026 and based in New York. The YC page characterises the company as building execution technology that improves trade routing across venues and emphasizes non‑custodial integrations with existing brokers, exchanges, and custodians.

Peter Bai (background summary)

Public write‑ups indicate that co‑founder Peter Bai previously worked as a Macro Trading Quantitative Developer at University Pension Plan Ontario (UPP), an Equity Markets Quantitative Developer at TMX Group (operator of the Toronto Stock Exchange), and a Venture Capital Analyst at HCS Capital. Earlier LinkedIn snippets show involvement with Western University and student investment/AI groups, consistent with a trajectory into quantitative markets and applied machine learning.

Muhammad Awan (information availability)

As of this research, detailed biographical information for co‑founder Muhammad Awan beyond the YC founder listing is limited in openly accessible sources. The YC profile confirms his founder role; however, education, prior roles, and detailed chronology are not readily available from primary public profiles.

Team strengths and implications

The company’s own materials emphasise hardcore systems engineering (Rust/C++ routing engine), AI‑driven routing (reinforcement learning), and regulatory‑grade transparency/logging, pointing to a team capable of building institutional‑grade EMS/OMS‑style infrastructure and ML‑driven execution optimisation.