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Kalipso

Kalipso provides an AI-powered regulatory compliance platform that automates the full workflow from regulatory change to operational implementation. The system continuously monitors regulatory sources across 40+ jurisdictions, identifies applicable obligations, scans existing policies for gaps, and generates ready-to-implement remediation language with full source traceability. The platform covers major frameworks including DORA, MiCAR, PSD2, the AI Act, GDPR, and MiFID II, and is ISO 27001 certified with European sovereign cloud data storage.

Traction 10/10
Barcelona, Spain · HQ
Founded 202591K+ followers
  • Regulatory & Compliance Technology
  • Artificial Intelligence
  • Legal Technology
  • Software Only
Updated 1 month ago

Funding

Raised to date

$3.2MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

across 1 round

$3.2M · Seed

Announced Jun 2026

Disclosed cumulative: $3.2M

Founders

2 founders

Pierre Ferran

Barcelona, Spain

Co-Founder & CEO

Since Oct 2024 · 2 yrs 1 mo

Profile summary: Klarna Legal Counsel, Stanford LLM

Virginia Debernardi

Turin, Italy

Co-Founder and COO

Since Jan 2025 · 1 yr 10 mos

Profile summary: EUIPO Trademark Examiner

Product

Problem

Businesses face challenges in navigating complex and evolving regulatory landscapes, leading to potential compliance gaps and operational risks. Ensuring adherence to all applicable laws and standards requires significant manual effort across disconnected tools, and specialized expertise, which can be resource-intensive for in-house legal and compliance teams.

Solution

Kalipso provides an AI-powered platform designed to streamline regulatory compliance for businesses. The system leverages a proprietary, curated dataset of laws and regulations sourced directly from government entities to analyze business operations and identify potential compliance deficiencies. It offers clear, explainable insights into its findings, enabling organizations to understand and address compliance issues effectively. The platform automates the full regulatory workflow — monitoring, gap analysis, remediation, and audit — keeping compliance teams aligned and collaborating in one place. It continuously analyzes regulatory developments, identifies which obligations apply to each organization, surfaces gaps in existing frameworks, and generates implementation-ready fixes with full source traceability. The platform is built with a commitment to data integrity and user privacy, ensuring that client data is used exclusively for service delivery and is not utilized for AI model training.

Target Audience

Kalipso serves financial institutions and regulated businesses across Europe, including enterprise compliance teams managing complex obligations across multiple jurisdictions. The platform is particularly relevant for organizations subject to frameworks like DORA, MiCAR, PSD2, the AI Act, GDPR, and MiFID II.

Features

  • AI-driven analysis of legal and regulatory texts to identify compliance gaps across multiple regulatory frameworks simultaneously
  • Proprietary dataset of laws and regulations sourced directly from government entities, tracking 100+ regulatory sources across 40+ jurisdictions and processing 3,000+ regulatory updates daily
  • Explainable AI (XAI) capabilities providing transparent reasoning for compliance assessments with full traceability to source articles
  • Auto-generated remediation language with ready-to-implement policy, control, and procedure fixes
  • Regulatory Radar feature using agentic relevance matching to prioritize developments most relevant to each organization's business model, jurisdictional exposure, and operational footprint
  • Robust data privacy measures, including ISO 27001 certification, European sovereign cloud infrastructure, and a commitment not to use client data for AI model training
  • Continuous oversight and review of AI outputs by compliance experts to ensure quality and accuracy
This profile is AI-generated and may contain inaccuracies.