multyx

Secure data and AI collaboration for insurance and financial enterprises

Insurtech Infrastructure Startup Seed

Overview

Multyx is an insurtech infrastructure platform for insurance and financial services enterprises that need to adopt AI and ML capabilities while keeping sensitive data protected. The company addresses a core barrier to AI adoption: organizations holding regulated data -- PII, PHI, and proprietary financial information -- cannot easily share it with external AI models or partner organizations without exposing confidential assets or violating compliance requirements.

The platform delivers secure data collaboration through confidential computing, synthetic data generation, and data obfuscation techniques. It runs on hardware-isolated environments via Microsoft Azure confidential compute, AMD, and NVIDIA H100 GPUs, allowing organizations to train and run AI models on sensitive data without that data leaving a controlled boundary. The platform is accessible via browser, API, or plugin in a SaaS format, and requires no encryption expertise from end users.

Multyx was founded in 2022 by Technion (Israel Institute of Technology) PhD graduates and raised seed funding from S Capital alongside investors including Giora Yaron, Harel Kodesh, Tom Glocer, and Rene Bonvanie. Enterprise customers include Harel Insurance and Finance Group and Migdal Holdings, both major Israeli financial services firms. The company has been featured in joint press materials from Microsoft and NVIDIA on confidential GPU computing.

Products & Services

Multyx AI Intersection

A collaboration product enabling multiple organizations to jointly process and analyze sensitive data while each party retains ownership and control. Designed for cross-organizational AI partnerships where proprietary data cannot be shared in the clear.

Key Features

Multi-party data collaboration without raw data exposure
Supports insurance risk modeling, fraud prevention, and commercial marketing partnerships
Accessible via browser, API, or plugin
Visual toolset for managing workflows, governance, and oversight

Target Users: Insurance carriers and financial enterprises seeking to form data-sharing partnerships for AI initiatives

Multyx AI Firewall

A security-focused product that enforces data protection boundaries during AI model training and inference, ensuring sensitive data does not leave a controlled environment.

Key Features

Hardware-level isolation using confidential computing
Automatic AI model verification
Supports running unchanged existing code for training and inference
Microsoft Active Directory integration for identity and access management

Target Users: Enterprise data and IT security teams in insurance and financial services

At a Glance

Founded: 2022
Headquarters: Garden City, New York, USA
Employees: 1-10
Funding: Seed

Category & Focus

Category: Insurtech Infrastructure
Subcategories: Confidential computing AI/ML data collaboration data privacy synthetic data generation
Insurance Verticals: P&C Commercial Life & Annuity Specialty/E&S
Target Customers: Carriers