QCP strengthens its institutional trading infrastructure with Talos. August 7, 2026 Introduction. QCP Group needed trading infrastructure that could match the institutional standard it holds itself to - supporting client execution quality, liquidity access, risk controls, pricing and market data. QCP partnered with Talos to consolidate key components of its trading architecture onto a single institutional-grade platform, extending QCP's capabilities in a way that complements its proprietary expertise and client-first approach. The result is a more tightly integrated trading environment that has enhanced the scalability and resilience of QCP's execution and risk workflows. The company. Established in 2017, QCP Group is a leading digital asset partner in Asia, operating specialized entities to address the dynamic needs of the digital economy. They provide tailored solutions across derivatives, stablecoins, OTC spot trading and structured products to institutional, professional and accredited investors. Each QCP entity brings industry-leading knowledge and operational excellence, supported by a team of experts in trading, business development, risk, and compliance. Headquartered in Singapore, QCP Group has a growing global footprint with offices in Abu Dhabi, New York, Kuala Lumpur and Ho Chi Minh City. The challenge. As QCP Group's institutional digital asset franchise continued to scale, the firm evaluated how best to architect its trading infrastructure to match the standard it holds itself to. The firm required trading infrastructure that could support trading operations that already demanded the highest level of client execution quality, liquidity access, internal risk management controls, pricing, and market data. The solution. QCP partnered with Talos to enhance and consolidate key components of its trading architecture onto a single institutional-grade platform. The result is a more tightly integrated trading environment that extends QCP's capabilities without compromising the proprietary expertise and client-first approach at the firm's core. Through Talos Dealer and WhiteLabel, QCP delivers institutional counterparties a branded trading interface and API connectivity with real-time pricing and electronic execution. This is while retaining full control over pricing rules, client segmentation, and routing configuration. Talos connects QCP's coverage desk, risk desk, and external liquidity counterparties within a unified workflow, enabling dynamic risk management with account-level segregation, clear P&L attribution, and auditability. Rules-based routing - configurable by instrument, order size, and market conditions - delivers consistent execution across all market environments. QCP's proprietary pricing engine is fully integrated into the Talos aggregation layer alongside external liquidity sources, preserving QCP's market-making capabilities while expanding the pricing universe available to its traders. Talos market data, including volatility surfaces and FX reference data, supports QCP's derivatives pricing, analytics, and risk workflows within a single, consolidated environment. The results. By adopting Talos as part of its institutional trading infrastructure, QCP has enhanced the scalability and resilience of its execution and risk workflows without relying solely on internally built systems for every component of the trading stack. The implementation has helped QCP: * Provide institutional clients with a more seamless electronic trading experience through API and branded interface access * Consolidate access to selected liquidity sources within a single execution workflow * Improve coordination between client-facing and risk-management functions * Support clearer account segregation, auditability, and P&L attribution * Reduce operational fragmentation across execution, pricing, and market data workflows * Preserve flexibility for QCP's proprietary pricing, market-making, and risk-management processes. Rather than replacing QCP's internal expertise, the Talos platform operates as an infrastructure layer that supports the firm's ability to scale its institutional franchise while maintaining control over trading decisions, client coverage, and risk management. "Digital assets are no longer a standalone market - they are becoming part of the broader capital markets infrastructure. Institutional participants need robust systems to trade, manage risk, and operate with greater transparency across that transition. Talos has been a valuable partner in building that infrastructure with us, in a way that fits how we uniquely operate." - Darius Sit, Founder, QCP Group "We're proud that our partnership with QCP provides them with the scalability and resilience of an institutional-grade platform that complements their proprietary expertise and client-first approach. We look forward to continuing this partnership as QCP advances its institutional franchise across the globe." - Samar Sen, Head of International Markets, Talos The future. As QCP continues to deepen its institutional franchise, the firm expects infrastructure, workflow automation and post-trade processes to remain important areas of focus. Looking ahead, QCP will continue to evaluate opportunities to further enhance operational efficiency across areas such as settlement workflows, collateral management and financing-related processes. Talos will remain an important part of QCP's trading infrastructure, supporting the firm's ongoing focus on scalable, resilient and institutionally robust digital asset markets. Watch QCP's CEO, Melvin Deng, and Head of Trading, Ivan Lee, go deeper on their partnership with Talos below, or in their client story, "QCP on Working with Talos: Navigating Crypto's Fragmented Markets." [Disclaimer: Talos Global, Inc. and its affiliates ("Talos") offer software-as-a-service products that provide connectivity tools for institutional clients. Talos does not provide clients with any pre-negotiated arrangements with liquidity providers or other parties. Clients are required to independently negotiate arrangements with liquidity providers and other parties bilaterally. Talos is not party to any of these arrangements. Services and venues may not be available in all jurisdictions. For information about which services are available in your jurisdiction, please reach out to your sales representative. Talos is not an investment advisor or broker/dealer. This document and information do not constitute an offer to buy or sell, or a promotion or recommendation of, any digital asset, security, derivative, commodity, financial instrument or product or trading strategy. This document and information are not intended to constitute investment advice or a recommendation to make (or refrain from making) any kind of investment decision and may not be relied on as such. This document and information are subject to change without notice. It is provided only for general informational, illustrative, and/or marketing purposes, or in connection with exploratory conversations with institutional investors and is not intended for retail clients. The information provided was obtained from sources believed to be reliable at the time of preparation, however Talos makes no representation as to its accuracy, suitability, non-infringement of third-party rights, or otherwise. Talos disclaims all liability, expenses, or costs arising from or connected with the information provided.] Find out how Talos can simplify the way you interact with the digital asset markets.

Perceptron secures $6.5M to speed up decentralized AI data infrastructure. The $6.5M strategic round will accelerate what is possible at the intersection of AI and decentralized networks. Dubai, United Arab Emirates, 30th July 2026 - Perceptron, a decentralized AI data network, today announced the successful close of its $6.5 million strategic round, bringing together leading Web3 investors, trading firms, ecosystem partners, and infrastructure leaders including Sigma Capital, Selini Capital, QCP Capital, P2 Ventures, CoinDCX Ventures, Momentum6, DeFi Capital, Walrus Foundation, Aethir, Colosseum, GuruDev Capital, Tempo Finance, NewTribe Capital, Digital Consensus Fund and CodeCraft Capital. The funding will support the launch of Perceptron's data-questing platform, expand its contributor tooling and rewards infrastructure, and scale the network toward its target of 5 million nodes. "Perceptron has demonstrated an impressive ability to mobilize a decentralized workforce and build a globally distributed network," said Nathan Gurr, Investment Analyst of P2 Ventures. "Their model allows them to tap into niche expertise - from doctors and lawyers to native speakers - on demand, from anywhere in the world. We see a significant opportunity to turn that reach into a scalable data and intelligence layer for AI, positioning Perceptron to become a leader in the DeAI stack." "Our mission is to create the world's first decentralized AI data mesh where user interactions directly fuel AI growth," said Peter Anthony, Co-founder and CEO of Perceptron. "We've already shown that the mission can become a reality, as evidenced by our ability to scale to hundreds of thousands of nodes organically. Now, with this funding, we are launching our data-questing platform, which will allow AI companies to commission specific, high-value datasets directly from our community." Perceptron's goal is to make sourcing real-world data fast and accessible enough that AI companies no longer need centralized scraping infrastructure. The network compresses global data collection into a single mesh of idle bandwidth, unique datasets, and domain expertise. This unified format allows both individual contributors and AI companies to generate complete, verified datasets, taking teams from data request to delivered dataset in days. Perceptron sits between two extremes: centralized scraping tools that are too limited, and closed data partnerships that demand access most AI startups lack. It gives AI companies and everyday contributors data they can work with directly. With Perceptron, contributors own their data and earnings, so they can monetize or withdraw them at any time, without depending on third parties. Perceptron is built for continuous contribution and constant iteration, not a one-time scrape. "We are witnessing a long-term shift in how AI models are trained. Centralized data scraping is hitting diminishing returns, both in terms of cost and quality," says Mark Rydon, Co-Founder of Aethir. "Perceptron has solved the distribution problem that plagues the sector." The launch of the data-questing platform is central to delivering on this promise at scale. Rather than relying only on organically contributed data, Perceptron is enabling AI companies to commission data directly from its community. This approach shortens the timeline to sourcing high-value datasets and allows the team to focus resources on the community tooling and rewards infrastructure that contributors directly use. Early traction on the network demonstrates strong demand. In its first phase, live agents reached more than 200,000 users across communities like Telegram and Discord. That number has since grown to more than 300,000 daily active users across a network of over 807,000 nodes. These figures highlight a large audience of users who want to monetize their data and expertise but previously lacked infrastructure designed for them. Perceptron's near-term focus is its data-questing platform launch, with further announcements expected next quarter. Longer term, Perceptron is building toward a fully integrated network of 5 million nodes, where everything an AI company needs lives in one place, with no gap between demand and supply.