Neosync

About Neosync

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.

```xml <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 Preparing data manually or relying on outdated mock data is time-consuming and can lead to inaccurate testing and debugging. </problem> <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. </solution> <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. </features> <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. </target_audience> ```

What does Neosync do?

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.

Where is Neosync located?

Neosync is based in San Francisco, United States.

When was Neosync founded?

Neosync was founded in 2022.

How much funding has Neosync raised?

Neosync has raised 500000.

Who founded Neosync?

Neosync was founded by Evis Drenova.

  • Evis Drenova - Co-founder/CEO
Location
San Francisco, United States
Founded
2022
Funding
500000
Employees
6 employees
Major Investors
Y Combinator, Derrick Li
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Neosync

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AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

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.

neosync.dev1K+
cb
Crunchbase
Founded 2022San Francisco, United States

Funding

$

Estimated Funding

$500K+

Major Investors

Y Combinator, Derrick Li

Team (5+)

Evis Drenova

Co-founder/CEO

Company Description

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.

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.

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.

Neosync - Funding: $500K+ | StartupSeeker