Neosync provides an open-source data replication and anonymization platform that enables engineering teams to securely use anonymized production data for local testing and development. This solution addresses the challenge of accessing high-quality data while ensuring compliance with data protection regulations, significantly reducing the time required for data preparation from weeks to days.
Funding
$500K raised to dateRaised 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.
DLFounders
Product
Problem
Engineering teams often struggle to access high-quality, realistic data for local testing and development environments due to data protection regulations and the risk of exposing sensitive information. Preparing data manually or relying on outdated mock data is time-consuming and can lead to inaccurate testing and debugging.
Solution
Neosync provides an open-source data platform that enables engineering teams to securely use anonymized production data for local testing, building, and development. The platform integrates with existing databases and object storage platforms, allowing users to select schemas and tables for synchronization. Neosync offers a range of data anonymization techniques, including masking, redaction, scrambling, and synthetic data generation, ensuring compliance with data protection regulations. By automating the process of data preparation and anonymization, Neosync significantly reduces the time required to provision high-quality data for development environments.
Target Audience
Neosync is designed for developers, data engineers, and AI/ML engineers who need access to high-quality, anonymized data for testing, development, and model training.
Features
- Data anonymization: Mask, redact, scramble, or obfuscate sensitive data.
- Synthetic data generation: Choose from 45+ pre-built synthetic data transformers.
- Data subsetting: Subset databases using SQL queries while maintaining relational integrity.
- Multi-destination syncing: Sync data to multiple databases and object storage platforms.
- Orchestration: Full control over scheduling, retries, back-offs, and timeouts.
- Custom transformers: Create custom transformers in code.
- Schema initialization: Initialize destination schemas and run pre- and post-job hooks.
- Developer tools: CLI, SDKs & APIs, and a Terraform module for integration.