MLCode

Company Overview

MLCode is a startup company specializing in AI/ML data security automation. Founded by experienced entrepreneurs with a background in enterprise software and data analytics, MLCode is based in Barcelona, Spain. The company’s primary focus is on protecting data, which they view as the most critical resource for enterprises in the age of massive AI/ML adoption.

MLCode’s flagship product is HexaKube, a Data Security Automation solution designed to protect data in various environments, including cloud, on-premises, and hybrid setups, whether at rest or in motion. The company’s vision is to address the growing need for data protection in the rapidly evolving landscape of artificial intelligence and machine learning.

Products Overview

MLCode’s main product offering is HexaKube, a Data Security Automation platform. HexaKube provides a comprehensive solution for managing and securing AI/ML data through three key steps:

1. Discover: Automatically identify all AI/ML data within an organization, along with information on who is accessing, serving, and transporting it.

2. Monitor: Continuously track and monitor data usage, including checking company accesses and responses to/from LLM (Large Language Model) services to prevent unintended leakages or malicious attacks.

3. Act: Proactively resolve any identified issues to maintain data security.

HexaKube is designed to work across various environments, including cloud, on-premises, and hybrid setups, providing protection for data both at rest and in motion.

Founding Team

While specific names are not provided, the company mentions that its founders have extensive experience in developing Enterprise Software for advanced data analytics. They have a track record of creating successful companies, including:

• Zhilabs (acquired by Samsung)
• Viewtinet
• NetSpira Networks (acquired by Ericsson)
• HP Activator

This background suggests a team with strong technical expertise and entrepreneurial experience in the enterprise software and data analytics sectors.

Problem and Market Fit

MLCode addresses the growing concern of data security in the age of AI and machine learning. As enterprises increasingly adopt AI/ML technologies, the volume and importance of data are escalating rapidly. MLCode positions itself to solve the critical problem of protecting this valuable data asset.

The company’s focus on AI/ML data security appears to be well-timed, given the increasing adoption of AI technologies across industries and the concurrent rise in data security concerns. By offering a comprehensive solution that discovers, monitors, and acts on data security issues, MLCode aims to fill a crucial gap in the market for specialized AI/ML data protection tools.

Business Model

While the specific details of MLCode’s business model are not explicitly stated, it appears to follow a B2B (Business-to-Business) model, offering its HexaKube platform to enterprises that need to secure their AI/ML data. The company likely generates revenue through software licensing, potentially with a subscription-based model given the ongoing nature of data security needs.

Funding and Runway

MLCode has successfully closed a seed funding round with Bullnet Capital. The exact amount of funding is not specified in the provided information. This seed round suggests that the company is in its early stages and has secured initial capital to further develop its product and expand its market presence.

Competitive Landscape

The competitive landscape for MLCode is not explicitly detailed in the provided information. However, given the growing importance of AI/ML and data security, it’s likely that the company faces competition from both established cybersecurity firms expanding into AI-specific solutions and other startups focusing on this niche. MLCode’s specific focus on AI/ML data and its founders’ experience in enterprise software and data analytics could be key differentiators in this competitive space.

Customers

One notable customer mentioned is RENFE, the Spanish national railway company. MLCode is collaborating with RENFE to experiment with AI security risk management, focusing on monitoring and related aspects of data security in AI applications.

Relevant News

1. June 25, 2024: MLCode announced its collaboration with RENFE to experiment with AI security risk management, focusing on monitoring aspects.

2. May 9, 2024: MLCode closed its seed funding round with Bullnet Capital. This funding is aimed at supporting the company’s growth and development of its data management and security automation solutions for Artificial Intelligence.

These recent developments indicate that MLCode is making progress in both customer acquisition and funding, which are positive signs for a startup in this space.