Defence Tech and AI Services Dominate US Mega-Rounds

The headline deal was a $600 million Series D for Colorado-based space-security firm True Anomaly, led by Eclipse and Riot Ventures with participation from Accel, Menlo Ventures and others, according to Crunchbase data published on 1 May. The round brings True Anomaly's total funding to $1.1 billion, making it one of the most capitalised private space-security companies in the world.

It was not alone. Two further defence-adjacent companies, Scout AI ($100 million Series A) and Firestorm ($82 million Series B), also closed significant rounds in the same week. Alongside them, AI startups targeting financial research, marketing, customer service and developer tooling each secured nine-figure deals. And in London, frontier AI lab Ineffable Intelligence set a new European seed-round record at $1.1 billion.

Taken together, the week's activity offers a sharp snapshot of where institutional venture capital is clustering, and where the downstream effects will be felt.

Defence tech's funding surge: what the numbers show

Global defence-tech startups raised a record $7.7 billion in 2025, according to Crunchbase data. The week's three defence-related rounds suggest that pace is accelerating into 2026.

True Anomaly develops space-security and in-orbit defence systems. Its investor syndicate is notable for breadth: Eclipse, Riot Ventures, Accel, 645 Ventures, G Squared, Acme Capital, Menlo Ventures and Paradigm all participated, per Crunchbase. That depth of backing signals broad institutional conviction rather than a single contrarian bet.

Scout AI, based in Sunnyvale, California, raised its $100 million Series A from Align Ventures and Draper Associates, with Booz Allen Ventures, Vaughn Capital Partners and FJ Labs also joining. The company builds AI systems for aerospace and defence applications. A $100 million Series A is unusually large for any sector; in defence tech, it reflects the capital intensity of hardware-adjacent development and the willingness of investors to fund it early.

Firestorm, a San Diego-based builder of modular, mission-adaptable drone systems, closed an $82 million Series B led by Washington Harbour Partners. Lockheed Martin, IQT (the CIA-linked venture arm), New Enterprise Associates and Booz Allen Ventures also participated, according to Crunchbase. Firestorm has now raised nearly $150 million in total.

The presence of strategic investors such as Lockheed Martin and Booz Allen Ventures across multiple deals is worth noting. It points to procurement-driven capital deployment, where prime contractors invest in startups whose technology they expect to integrate or acquire. For UK and European defence subcontractors and dual-use technology firms, these relationships create both partnership opportunities and competitive risks: the startups being funded today may become the preferred suppliers of tomorrow.

AI for professional services: the deals reshaping knowledge work

Five of the week's ten largest US rounds went to AI startups targeting professional and enterprise workflows, according to the Crunchbase roundup.

Rogo, a New York-based developer of AI-powered financial research tools, raised $160 million in Series D funding led by Kleiner Perkins, with Thrive Capital, Sequoia Capital, Khosla Ventures and J.P. Morgan Growth Equity Partners among the backers. Rogo has now raised $314 million in total, per Crunchbase.

Hightouch, which focuses on agentic AI-driven marketing and customer data activation, closed a $150 million Series D co-led by Bain Capital Ventures and Goldman Sachs Alternatives. Total funding now exceeds $332 million, according to Crunchbase.

Two AI customer-service deals appeared in the top ten. Avoca raised $125 million in Series B funding led by General Catalyst and Meritech Capital Partners. Netomi secured $110 million in Series C funding led by Accenture Ventures, with Adobe Ventures also participating. Netomi's individual backers included Greg Brockman, co-founder and former president of OpenAI; Mustafa Suleyman, co-founder of DeepMind and now head of Microsoft AI; and Henry Kravis, co-founder of KKR. That combination of AI-industry insiders and private-equity veterans backing the same customer-service startup suggests mainstream institutional conviction in the category, not speculative froth.

Rounding out the professional-services cluster, Parallel raised $100 million in Series B funding led by Sequoia Capital, with Index Ventures, Khosla Ventures and Kleiner Perkins. The Palo Alto-based company builds AI agents and developer tools to automate workflows and has raised $260 million to date, per Crunchbase.

What the pattern suggests

The common thread is not AI in the abstract. It is AI applied to high-value, repetitive knowledge work: financial analysis, marketing data activation, customer communications, software development. These are categories where labour costs are high, error rates are measurable and the output is structured enough for automation. The scale of funding indicates that investors expect rapid enterprise adoption, not a long research runway.

For UK operators in financial services, professional services and B2B marketing, the implication is practical. Well-funded US competitors are building tools that will reshape buyer expectations around speed, cost and accuracy. Firms that delay evaluation of these categories risk finding themselves competing against clients and rivals who have already adopted them.

Europe's frontier AI moment: Ineffable Intelligence and the seed-round arms race

London-based Ineffable Intelligence raised a $1.1 billion seed round, the largest for a European startup on record, led by Lightspeed Venture Partners and Sequoia Capital, according to Crunchbase. The previous European seed record was set just weeks earlier, when Paris-based Advanced Machine Intelligence raised $1.03 billion, as first reported by Crunchbase.

Two billion-dollar-plus seed rounds for European frontier AI labs within months of each other represent a notable shift. Until recently, funding at this scale for pre-revenue or early-revenue AI research was confined almost entirely to US-based companies such as OpenAI and Anthropic. The fact that both Lightspeed and Sequoia, two of Silicon Valley's most prominent firms, chose to lead a London-based seed round suggests that European AI talent and regulatory environments are now competitive enough to attract top-tier US capital.

For UK policy-makers and the broader ecosystem, this is a double-edged signal. The capital is arriving, but it is arriving from US funds with US return expectations. Whether Ineffable Intelligence's value creation ultimately accrues to the UK economy will depend on where it hires, where it incorporates its operating subsidiaries and where it books revenue. The precedent of DeepMind, acquired by Google in 2014 for a reported £400 million, looms large.

What UK operators should watch

Three takeaways stand out from the week's funding data.

Defence procurement chains are being redrawn. The scale of US defence-tech funding, and the involvement of strategic investors such as Lockheed Martin and Booz Allen Ventures, means new suppliers are being created rapidly. UK defence primes and subcontractors should monitor these startups for partnership, licensing and competitive intelligence purposes. Dual-use technology firms with exportable capabilities may find US acquirers or partners willing to move quickly.

AI-for-services tools are approaching critical mass. When multiple startups in the same category each raise more than $100 million in a single week, the market is signalling that enterprise adoption is imminent, not hypothetical. UK firms in financial services, legal, accounting and marketing should be conducting structured evaluations of AI workflow tools now, before well-funded US vendors set the terms of engagement.

European frontier AI is real, but fragile. The Ineffable Intelligence round proves that London can attract frontier AI capital. Sustaining that advantage will require competitive compute infrastructure, immigration policy that retains researchers and a regulatory framework that does not drive labs to relocate. The gap between a record seed round and a durable ecosystem is wide, and closing it is a matter of policy as much as capital.