Global venture funding reached $56 billion in April, doubling year over year from $26 billion — the third-largest monthly total in the past 12 months. AI commanded 66% of that capital, with model companies alone absorbing $26.7 billion. Two AI mega-deals set the tone for the month, but smaller fintech funding rounds also showed the clear direction of VC capital flows.
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According to Crunchbase data, the global venture funding reached $56 billion in April, 2026, marking the third-largest monthly funding in a whole year. Funding was up 100% compared to April 2025 and its $26 billion result. Here are the April funding rounds that matter for the fintech and payments community either due to their scale or innovation focus.
Anthropic (USA) — $15B; Late-stage
Lead investors: Google, sovereign wealth funds, and institutional partners. The round makes Anthropic the best-capitalized frontier lab, surpassing even the pioneer OpenAI, as its valuation skyrockets past $1 trillion. Together with Project Prometheus, it absorbed nearly half of all April venture capital — a figure that tells you more about the state of AI than any sector report could.
Project Prometheus (USA) — $10B; Growth
Lead investors: Jeff Bezos and institutional backers. Bezos’s AI manufacturing venture signals that, as the AI tech matures and needs more resources, the investing race starts to pay more attention to the physical infrastructure to build and run AI models. The two companies together accounted for 45% of all venture capital raised in April.
Ebury (UK) — ~£550M (~$700M); Growth
Lead investors: Centerbridge Partners, Santander, Vitruvian Partners, 83North. Ebury operates in 30 regulated markets and serves more than 27,000 businesses, enabling payments in over 140 currencies across 160 countries. The notable angle here is structural: Santander is treating Ebury as a core capability in the group’s broader SME and trade finance architecture rather than an optional side bet . After a shelved IPO, this round represents a deliberate choice to scale privately first.
Plata (Mexico) — $405M; Series C — Valuation: $5B
Lead investors: Bicycle Capital, Qatar Investment Authority, BTG Pactual. Plata becomes Latin America’s most valuable privately held digital bank. In March 2026, Plata officially launched full banking operations as Banco Plata, transitioning from a credit provider to a fully regulated bank, allowing it to accept retail deposits and substantially lower its cost of capital. With over $600 million in annualized revenue and an $800 million loan portfolio backed by proprietary AI risk models, this is a real bank at scale, in a market where more than 60% of the adult population lacks access to formal credit.
KreditBee (India) — $280M; Series E — Valuation: $1.5B
Lead investors: Motilal Oswal Alternates, Hornbill Capital, MUFG-backed Dragon Funds. KreditBee becomes the first unicorn of the 2026–27 fiscal year and one of the largest fintech deals of 2026 so far. The capital will primarily strengthen the lending book ahead of its IPO rather than fund product development — a candid pre-IPO positioning play. The platform has facilitated over 60 million loans to date and reached $1.5 billion in AUM.
VAST Data (USA) — ~$1B; Series F — Valuation: $30B
Lead investors: Drive Capital, Access Industries, with Nvidia, Fidelity, NEA. The valuation represents a more than threefold increase from VAST’s $9.1 billion Series E in late 2023. What makes this notable is the underlying business: VAST is already generating more than $100 million of cash per quarter: profitable, growing, and raising at favorable terms rather than out of necessity. Its customers include CoreWeave, Mistral, the U.S. Air Force, and Cursor.
Ineffable Intelligence (UK) — $1.1B; Seed — Valuation: $5.1B
Lead investors: Sequoia Capital, Lightspeed Venture Partners, Nvidia, Google, UK Sovereign AI Fund. The largest seed round ever raised in Europe. Founded just months ago by David Silver, former head of reinforcement learning at DeepMind and architect of AlphaGo and AlphaZero, the company has no released product, no revenue, and no public roadmap. Investors are backing a research thesis: that reinforcement learning, in which AI systems learn through trial and error rather than studying human-generated examples, can go further than LLMs. It is the purest expression of founder-reputation-as-collateral the market has yet produced.
Legora (Sweden) — $50M; Series D extension — Valuation: $5.6B
Lead investors: NVentures (Nvidia), Atlassian, Adams Street Partners, Insight Partners. The extension brings the total Series D to $600 million and follows Legora surpassing $100 million in ARR. Nvidia’s participation is strategic. The chip giant is buying proximity to every vertical where AI agents will run workflows. Legal is a high-value, high-document-density sector, making it a natural early win. The company has scaled from 40 to 400 employees in a single year.
Verda (Finland) — €100M (~$110M); Growth
Helsinki-based AI infrastructure company building compute capacity for European AI workloads, with plans to hire 100+ people by year-end. Notable as part of a broader European push to reduce dependence on US cloud providers for AI training — a strategic imperative that sovereign funds and institutional investors are increasingly willing to back.
Slash Financial (USA) — $100M; Series C — Valuation: $1.4B
Unicorn status reached on the back of Twin, an AI financial agent designed to handle business payments, invoicing, and treasury operations autonomously. Prior to this round, Slash raised $41 million at a $370 million valuation during its Series B — the jump to $1.4 billion reflects how quickly agentic finance is being re-rated by investors.
Spektr (UK) — $20M; Growth
Compliance automation platform using AI to monitor financial crime risk in real time. The round is small but the positioning is sharp: compliance is a sector where AI can demonstrably reduce cost without requiring the trust-building that customer-facing AI demands. Regulatory pressure on financial institutions is increasing, which creates structural pull rather than push-driven sales.
Ratio (USA) — $15.8M; Growth
B2B cash flow financing platform using AI to let software companies offer flexible payment terms to enterprise buyers. Addresses the gap between when B2B vendors want to be paid and when buyers are willing to pay — a problem that costs SMBs real money and has no elegant incumbent solution.
Paxos Labs (USA) — $12M; Seed
DeFi infrastructure focused on making decentralized finance products usable for non-crypto-native users. Notable for attempting to bridge institutional finance and on-chain rails at a moment when stablecoin regulation is moving faster than at any point since 2020.
TraqCheck (USA) — $8M; Seed
Enterprise hiring automation — verifying candidate credentials and compliance checks without human bottlenecks. A narrow problem with clear ROI, which is exactly what early-stage B2B AI needs to be right now.
HrFlow.ai (France) — €6M; Pre-Series A
Describes itself as building “Hiring SuperIntelligence” — AI to match talent to roles at scale. The ambition is large, the round is small yet. The company is operating in a crowded space, but the unemployment angle gives it a social dimension that may help with public-sector and enterprise buyers.
SolvaPay (Sweden) — €2.4M (~$2.6M); Pre-Seed
Payments infrastructure designed for agentic commerce — meaning AI agents that spend money autonomously on behalf of businesses. Early, but directionally correct: as AI agents proliferate, they will need their own payment rails, and whoever builds the plumbing early has a durable advantage.
Ralio (USA) — $2.5M; Pre-Seed
Agentic payment safety serves as guardrails for AI agents making financial transactions. The inverse of SolvaPay: where SolvaPay builds the pipes, Ralio builds the shutoff valves. Both bets are rational given how little oversight currently exists for autonomous AI spending.
Smartwage (Italy) — €2M; Seed
Converts corporate welfare benefits into digital, spendable currency using AI and embedded payments. Micro-round, but addresses a genuine friction in European HR: welfare budgets that employees can’t easily use. Distribution through employers is the right go-to-market for a product this specialized.
