Overview
Syntonym is an AI data privacy solutions provider for P&C and Specialty insurers and solutions providers that build or operate camera-based AI systems. The company's software replaces personally identifiable visual elements -- faces and license plates -- with generative AI-synthesized equivalents that preserve the analytical attributes needed for AI model training and inference, such as gaze direction, head pose, facial expressions, age group, and gender.
The platform is delivered as a REST-based cloud API, a private cloud or VPC deployment, and an edge SDK for embedded low-latency processing. This privacy-by-design architecture addresses GDPR, CCPA, PIPL, APPI, and PDPL compliance requirements by removing personal data at the point of capture rather than applying post-processing obfuscation.
Founded in 2019 by Batuhan Ozcan and Emre Cavunt, Syntonym has raised USD 1.54M across multiple seed rounds from 13 investors including Alchemy, Simya, and the Technology and Innovation Fund. Primary customer segments include automotive OEMs building ADAS systems, robotics and physical AI developers, and smart device manufacturers with onboard camera systems.
Products & Services
Syntonym Lossless
Generative AI anonymization that replaces real faces and license plates with synthetic non-existent equivalents. Downstream AI models receive attribute-preserving replacements that retain gaze direction, head pose, facial expressions, age group, and gender, making the anonymized data functionally equivalent to the original for training and inference.
Key Features
- Attribute-preserving synthetic face and license plate replacement
- Real-time processing at edge and cloud
- REST-based cloud API with pay-as-you-go pricing
- Edge SDK for embedded ultra-low latency deployment
- Private cloud and VPC deployment options
- GDPR, CCPA, PIPL, APPI, and PDPL compliant output
Target Users: Automotive OEMs developing ADAS systems, robotics developers, computer vision teams training perception models
Syntonym Blur
High-precision automatic blurring for faces, license plates, and other sensitive visual data. Designed for use cases where full lossless anonymization is not required.
Key Features
- Automatic detection and blurring of faces and license plates
- High-precision boundary detection
- Scalable batch processing
- Privacy regulation compliance support
Target Users: Organizations requiring compliant visual data with lower complexity requirements
At a Glance
- Founded
- 2019
- Headquarters
- London, United Kingdom
- Employees
- 1-10
- Funding
- Seed
Category & Focus
- Category
- Data & Analytics
- Subcategories
- Privacy Technology Computer Vision Synthetic Data
- Insurance Verticals
- P&C Commercial Specialty/E&S
- Target Customers
- Carriers, Solutions Providers
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Last updated: 2026-05-18