Mouro Capital leads a $7.5m funding round in Alinia AI

Alinia AI has raised a $7.5 million seed round led by Mouro Capital, with participation from Raise Seed For Good, Speedinvest, and Precursor Ventures. The company plans to accelerate the development of its enterprise-grade Guardrails API and AI Compliance Platform. Its technology enables scalable AI control and compliance for regulated organizations deploying generative AI, embedding real-time auditing, policy enforcement, and risk control directly into AI systems. Alinia AI currently works with leading innovators in the space, including Santander Group and other fintech pioneers such as Origin Financial in the U.S.

Alinia AI envisions a future in which compliance is encoded in any autonomous system, steered by human experts. The company aims to empower business and compliance professionals, equipping them to become key enablers in deploying AI Assistants at scale in the most critical scenarios.

A Growing Compliance Challenge for Expert AI Agents

Expert AI Assistants are transforming financial services—acting as financial assistants, debt managers, and wealth advisors—while driving significant productivity gains. A single AI investment assistant can now interact with 10,000 users a day, providing highly personalized recommendations based on proprietary and user data.

However, as productivity scales, regulatory exposure increases. Tasks traditionally performed by teams of human experts, for whom regulations were designed, are progressively handled by AI Agents capable of performing at 100x the scale. Manual review of tens of thousands of AI interactions daily is infeasible, while regulatory scrutiny continues to intensify.

Ariadna Font Llitjós, Co-founder & CEO of Alinia, said: "As global spending on generative AI approaches $644 billion by 2025 (Gartner), adoption in regulated industries is hitting the compliance wall. Alinia is building the safe gateway that gives compliance teams centralized visibility and control across the enterprise."

Carlos Muñoz Ferrandis, Co-founder & COO, added: "Generic guardrails miss nuanced violations tied to business realities in specific jurisdictions. Detecting and constraining specific types of AI output, such as investment advice under EU Delegated Regulation 2017/565 & ESMA Guidelines, requires precision and contextual understanding."

Alinia AI Compliance Platform

Alinia AI provides enterprises with a unified framework to ensure transparency, accountability, and control over AI systems. Its proprietary multilingual Guard models—including Investment Guard and Hallucination Detector—are delivered via a flexible Guardrails API, enabling real-time policy enforcement, auditing, and risk monitoring across any AI deployment.

Each Guard can be tuned to an organization’s specific risk profile and sensitivity thresholds, providing precision control over compliance in high-stakes use cases. Fully vendor-agnostic, Alinia integrates with any AI assistant or platform, acting as the compliance backbone that keeps AI systems aligned, auditable, and safe to deploy at scale.

Trusted by Leaders in Banking and Fintech

Alinia AI works with some of the most forward-thinking financial organizations, including one of the world’s largest banks, as well as leading fintech AI scale-ups like Origin Financial in the U.S., where its technology powers the compliance layer for customer-facing AI financial assistants.

Arian Hassanalizadeh, General Counsel at Origin Financial, said: "Alinia is one of our most integral back-end controls and is working well for us."

Iñaki Bernal, Chief AI Officer at Santander, added: "Alinia is an essential building block for our AI strategy. As a global bank at the forefront of AI adoption, we need a robust control backbone that can power compliance for all the different use cases across Santander Group."

Generic guardrails risk either over-restricting AI assistants or, conversely, missing nuanced violations tied to legal and business realities.

Next: From Guardrails to Compliance Controllers

The next version of Alinia’s platform will introduce Compliance Controllers tailored to specific policies and regulations. These will empower non-technical teams to evaluate risk levels of user–AI interactions both pre-deployment and in real time, assessing compliance in milliseconds. Enterprises will be able to monitor, document, and control AI behavior at scale.

Alinia AI aims to become the auditing and compliance infrastructure for the next generation of AI Agents operating in regulated industries, starting with finance. The company is expanding R&D to allow businesses to train and deploy expert-driven Compliance Controllers for AI Agents based on proprietary knowledge and applicable regulatory frameworks.

Carlos Muñoz Ferrandis shared: "We’re expanding our R&D to develop off-the-shelf guardrails for EU AI Act high-risk scenarios impacting financial and insurance players."

Ariadna Font Llitjós concluded: "It’s no longer about ticking boxes—it’s about steering unpredictable autonomous systems in real time and providing auditable evidence of compliance at any moment."

Alinia AI is scaling its AI engineering, research, sales, and customer success teams across Europe and the U.S. to meet growing enterprise demand.

Investor Quotes

Manuel Silva Martínez, General Partner at Mouro Capital, said: "Innovation cannot scale without trust. AI cannot transform the financial services industries without it being deployed responsibly and in an explainable and auditable way, at scale. The future of AI cannot be conceived without the contribution the Alinia team is making to the maturity of the AI industry."

Thibaut Schlaeppi, Managing Partner at Raise Seed For Good Ventures, added: "As enterprises scale their use of AI, governance architectures remain under-invested relative to the operational, regulatory, and systemic risks involved. Industries—especially those under strict regulation like Finance or Health—require verifiable compliance, strong security, and credible oversight before they can deploy AI at scale. Alinia’s compliance engine offers a pragmatic path through this complexity, turning AI’s extraordinary potential into an integrable and trustworthy asset for the enterprise world without putting long-earned reputations at risk."