Бывшие работники Coinbase и Cruise получили $15 млн для стартапа CipherOwl

cryptonews.ruPubblicato 2025-09-09Pubblicato ultima volta 2025-10-10

Стартап CipherOwl основанный бывшими сотрудниками Coinbase и Cruise привлек $15 млн посевного финансирования для развития решений по криптокомплаенсу. Раунд возглавили General Catalyst и Flourish Ventures при участии Coinbase Ventures и Enlight Capital. Компания разрабатывает программное обеспечение для мониторинга транзакций и предотвращения отмывания средств в криптосекторе. По словам сооснователя и CEO Лео Ляна проект создан в ответ на растущую потребность банков и финтех-компаний в инструментах анализа блокчейн-транзакций на соответствие регуляторным требованиям.

Интерес к подобным решениям растет по мере интеграции криптовалют в традиционную финансовую систему. Банки и крупные финтех-компании теперь нуждаются в инструментах позволяющих отслеживать движение цифровых активов наравне с фиатными операциями. По мнению инвестора Flourish Ventures Джона Онвалу, переход от денежных платежей к ончейн-инфраструктуре требует еще более строгих и технологичных механизмов комплаенса. CipherOwl стремится закрыть этот пробел предоставляя универсальную платформу адаптированную для корпоративных клиентов.

Рынок криптокомплаенса уже насыщен компаниями включая Chainalysis Elliptic и TRM Labs однако команда CipherOwl рассчитывает выделиться благодаря глубокой интеграции искусственного интеллекта. Лео Лян и Мин Цзян ранее создавали внутренние системы безопасности Coinbase что позволило им накопить практический опыт построения масштабируемых решений для анализа данных.

Главное технологическое преимущество CipherOwl заключается в том что ИИ встроен в архитектуру продукта с самого начала. По словам управляющего директора General Catalyst Марка Баргавы компания изначально проектировала инфраструктуру как AI-native систему, что дает ей преимущество перед более старыми конкурентами. CipherOwl насчитывает всего 8 сотрудников.

Полученные $15 млн компания направит на масштабирование команды инженеров и развитие международных продаж. Стартап планирует адаптировать свою платформу под требования разных юрисдикций что позволит ему выйти на рынок Европы и Азии в 2026 году.

Letture associate

$2 Trillion: Countdown to AI's Largest IPO in History

The countdown for the largest IPO in AI history, a potential $2 trillion listing for Anthropic, is underway for October. The staggering valuation, reportedly projected by several investors, contrasts with the company's own internal restraint on setting a public target. Founded five years ago by former OpenAI core members, Anthropic's growth has been meteoric. Annual recurring revenue (ARR) surged from ~$9B in late 2025 to $47B by May 2026, with Q2 2026 revenue of $11.5B marking a 14x year-over-year increase. Bank valuations are even based on internal 2028 revenue forecasts of $190-200B. A key growth driver is Claude Code, its AI coding assistant. Its ARR quintupled in five months to $2.5B by February 2026, now constituting nearly 20% of total revenue. Surveys indicate Anthropic commands roughly 40% of enterprise LLM spending, doubling OpenAI's share in programming-specific use. However, alongside this explosive growth, reports detail significant internal cultural strife. Critics describe a divisive "priesthood" of PhD executives, led by CEO Dario Amodei, who promote a "save humanity" narrative that some employees find cult-like and alienating. This has reportedly created a demoralized workforce and a covert "underground network" of dissent among engineers torn between lucrative pre-IPO equity and a toxic work environment. Anthropic now faces a pivotal paradox: pursuing its mission of "safe" AI requires immense capital for compute, yet that capital demands relentless commercial growth. As it approaches its historic IPO, the company must navigate intense regulatory scrutiny, soaring operational costs, and internal tensions—any of which could destabilize its post-listing trajectory, much like SpaceX's significant post-IPO stock drop. The stage is set for a defining moment in tech history.

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$2 Trillion: Countdown to AI's Largest IPO in History

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AI Boosting Efficiency and Cutting Costs Makes VC Increasingly Expensive

"AI for Cost Reduction Makes VC Funding More Expensive" Despite the "cost-reduction and efficiency" narrative of AI, venture capital (VC) investment in the AI sector is becoming increasingly costly. While AI tools lower the initial costs for many startups—with team sizes shrinking across funding stages—the market is polarizing. For top-tier AI teams, especially those from leading companies like Google and OpenAI, funding rounds are now larger and valuations are higher than ever at the seed and early stages. For example, new ventures by prominent researchers are securing billions in funding with valuations reaching tens of billions before having a mature product. This creates a "barbell" market: lightweight startups need less capital, while elite AI firms attract massive investments early on. This dynamic raises the cost for VCs to acquire and maintain meaningful ownership stakes. As valuations soar early, securing the same equity percentage requires significantly larger capital commitments. VCs must now invest more upfront and reserve substantial funds for follow-on rounds to avoid dilution, prompting large firms like Accel and a16z to raise massive new funds. Consequently, capital is concentrating intensely in a few perceived winners like OpenAI and Anthropic, widening the gap between large and small VC funds. While high valuations bake in future growth expectations, they also compress potential returns, demanding that portfolio companies achieve unprecedented scale. For major VCs, the core strategy is clear: secure early positions in potential winners and maintain the capital to keep investing as valuations rapidly escalate.

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AI Boosting Efficiency and Cutting Costs Makes VC Increasingly Expensive

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