Diligent AI Secures €2.1 Million Seed Funding to Automate KYC and AML Compliance Workflows with AI Agents

Diligent AI Secures €2.1 Million Seed Funding to Automate KYC and AML Compliance Workflows with AI Agents

Diligent AI, a London- and Berlin-based startup, has raised €2.1 million in seed funding to advance its platform of autonomous AI agents designed for automating Know Your Customer (KYC) and Anti-Money Laundering (AML) workflows. The round, announced on March 4, 2026, was led by venture capital firm Speedinvest, with participation from fintech-focused investor Shapers and continued backing from Y Combinator. Additional support came from prominent angel investors, including founders and CEOs from N26, Allica Bank, IDnow, Billie, and Cybersource.

This funding underscores growing investor confidence in AI solutions addressing the escalating demands of financial compliance amid rising regulatory pressures and fraud sophistication. The €2.1 million (approximately $2.5 million) will fuel product expansion, engineering hires, and go-to-market efforts to serve global clients. Diligent AI, founded in 2023, positions itself at the intersection of AI automation and financial crime prevention, targeting repetitive tasks that burden compliance teams.

Company Background

Diligent AI was co-founded by Edoardo Maschio, a former BCG consultant and investor at Rocket Internet, and Ahmed Gaber, ex-CTO of Billie, Europe’s largest B2B buy-now-pay-later platform. The duo launched the company to tackle inefficiencies in financial crime compliance, where manual processes for alert triage and due diligence consume significant resources. Headquartered across London and Berlin, the startup emerged from Y Combinator’s accelerator, gaining early traction in Europe’s competitive fintech ecosystem.

The company’s core innovation lies in “autonomous AI analysts” that mimic human reasoning: reading documents, investigating data sources, and resolving alerts independently. Unlike rule-based systems, these agents handle nuanced tasks like contextual analysis, reducing false positives and standardizing investigations. This approach aims to shift compliance professionals from data processing to strategic decision-making.

Technology and Capabilities

Diligent AI’s platform deploys AI agents to automate end-to-end KYC and AML workflows, including clearing false positive alerts, searching corporate registries and public records, cross-referencing adverse media, and resolving sanctions or payment-screening matches. Agents also identify politically exposed persons (PEPs), perform merchant risk reviews, and streamline customer onboarding for SMBs and merchants. By standardizing processes, the technology ensures consistent, fatigue-free reviews available 24/7.

CEO Edoardo Maschio emphasized the human-centric design: “We are building this for the analysts. When you strip away repetitive tasks—like clearing false positive alerts, searching corporate registries and public records, cross-referencing adverse media—you free up the human mind to focus on judgment and strategy. It’s decision-making instead of data processing.” Speedinvest’s Julien Lézé added: “Banks and fintechs already face high costs from large compliance teams and increasing regulatory scrutiny. As AI drives an exponential rise in the volume and sophistication of fraud, compliance operations cannot scale proportionally. The only viable path forward is to fight fire with fire—AI with AI.”

Early deployments demonstrate tangible benefits, with clients reporting cost savings, faster resolutions, and improved decision quality through auditable, repeatable processes. The agents integrate seamlessly into existing compliance stacks, enhancing rather than replacing human oversight.

Customers and Market Traction

Diligent AI’s solutions are live at financial institutions across Europe, the Middle East, the US, and Japan, including Flywire, Allica Bank, Alma, Teya, and Tamara. These clients leverage the platform for sanctions resolution, PEP screening, adverse media analysis, merchant due diligence, and onboarding acceleration. The geographic diversity highlights the platform’s adaptability to varied regulatory environments, from EU’s AML directives to US and Asian frameworks.

This traction reflects broader market needs: global AML compliance costs exceed $200 billion annually, with false positives alone wasting up to 95% of investigator time. Fintechs and banks, facing talent shortages and regulatory fines, increasingly turn to AI for scalable defenses. Diligent AI’s YC pedigree and blue-chip angels signal strong product-market fit in this high-stakes sector.

Investor Insights

Speedinvest, managing over €1 billion, has backed fintech leaders like Bitpanda and Tide, viewing Diligent AI as a bet on AI-native compliance. Shapers, a fintech specialist, and Y Combinator provide strategic continuity from the startup’s early days. The angel syndicate—drawn from regulated fintech heavyweights—validates the team’s execution and domain expertise.

This round aligns with a European funding surge in AML/KYC automation, following investments in fraud detection and workflow tools. Investors see AI agents as essential for scaling compliance amid AI-fueled crime vectors like deepfakes and synthetic identities.

Future Plans and Industry Impact

Proceeds will expand the AI agent suite to new task types, enhance core capabilities, and scale sales to support international growth. Diligent AI is recruiting backend engineers, machine learning specialists, and go-to-market talent to meet demand. The focus remains on regulator-ready tools that maintain audit trails and human-in-the-loop controls.

In the evolving landscape of AI-driven financial crime compliance—spanning KYC automation, AML screening, and fintech regulation—Diligent AI exemplifies how startups are reshaping workflows. As regulators like the EU’s AMLA and FATF emphasize tech adoption, such innovations could reduce costs, boost accuracy, and free experts for high-risk cases. Neutral observers note the dual promise and challenges: while automation promises efficiency, ensuring AI reliability under scrutiny will be key.