BlueGen.ai provides AI-powered data collaboration and privacy solutions for organizations to share and analyze data while maintaining privacy and security.

BlueGen

BlueGen.ai | 3,141 followers on LinkedIn. Generate privacy-safe data to accelerate data-driven innovation
 | BlueGen.ai mimics your real data and generates privacy-safe synthetic data to accelerate data-driven innovation

Data is the lifeblood of digital business, we believe protecting customers, consumers, citizens and patients is at least as important. We believe in a world where data drives prosperity, while the privacy of the individual is preserved and technology operates unbiased.

CEO and Founder BlueGen.ai - Synthetic Data- Investor and Board member

Iman Alipour

Product Growth | Customer Experience | Business Strategy

Vincent Campfens

Machine Learning Engineer

Ilja Tigges

📚Following master's Computer Science at TUDelft 👨💻Interested in machine learning (and AGI), neurotechnology, computational biology, sustainable…

Shayan Ramezani

BlueGen.ai

Data is the lifeblood of digital business, at BlueGen.ai we believe protecting customers, consumers, citizens and patients is just as important. We believe in a world where data drives prosperity, while the privacy of the individual is preserved and technology operates unbiased. Will you join us on our mission?

Interested in attending the CDO event on December 3, 2024? Act quickly because there are only a few spots left! Join us and dive into the latest developments in data privacy and synthetic data with fellow professionals. Don’t miss out! Click the link to secure your spot! https://lnkd.in/eSZ93DaQ #syntheticdata #bluegenai #dataprivacy #pmpevent Outvie

The future of privacy is already within reach! That was the central message from BlueGen.ai and other PET providers at the Digital Rule of Law event in Utrecht. Hosted by the National Innovation Center for Privacy Enhancing Technologies ( nicpet ) at the Advanced Technology Lab, we engaged with data, legal, and privacy experts from government agencies to highlight the benefits of synthetic data. The takeaway? Governments are underutilizing synthetic data, missing out on innovation while leaving privacy less protected. #privacy #privacyenhancingtechnologies #PET #bluegenai Freek Bomhof

Collaborating with PMP for Privacy Innovation! Adoption of a Privacy Enhancing Technology (PET) is more than just implementing the software and is not possible without the involvement of data- and privacy officers throughout the process. From choosing the right PET for the use case and setting up the requirements, to evaluating the output and potential risks. Yesterday we teamed up with the privacy and legal experts of PMP to give a presentation about this, from both the technical and procedural perspective. While we see less and less challenges with the technology, it remains hard to implement these new technologies in existing compliance and governance frameworks. That's exactly why we love getting the valuable input from the experts with ideas on how we can increase the adoption of #SyntheticData ! Thank you to PMP for an inspiring event and great collaboration! Joris Hutter ✔ Sue Chang

FAQ Friday: how does BlueGen.ai ensure privacy and data quality in synthetic data? We use various deep learning and data processing techniques in an autonomous system that generates high-quality synthetic data. The generative core of our software runs on state-of-the-art diffusion models and is also ready to be combined with differential privacy and federated learning, to offer more privacy and secure deployments for the most demanding use cases. Stay tuned for more insights! #syntheticdata #privacytech #differentialprivacy #bluegenai

Only a few seats left! Secure today your spot at the PMP event for an exclusive session on the latest in data privacy and #syntheticdata technology. Don’t miss this opportunity to connect with leading experts and be part of the conversation! Click the link to reserve your place! https://lnkd.in/eSM9KNBJ #syntheticdata #bluegenai #dataprivacy #pmpevent

FAQ friday: do I need to (re)train BlueGen.ai every time the real data changes? When our self-learning system has trained itself to create #syntheticdata , it only needs to run periodically to keep up with the changing characteristics of your real data. To save time, you can do this incrementally and over different time intervals, depending on your use case. Have more questions? Stay tuned for next week’s FAQ!

Looking forward to participating in the Synthetic Data for Fairness and Privacy workshop at VU Amsterdam! Join us on November 26 to explore how synthetic data can drive ethical AI applications, debias data and improve healthcare contexts. Spots are limited, so register soon! https://t.ly/hrXP1

Join us at the PMP PET Event on November 11th! We’re excited to team up with PMP , who like us, focus on helping organizations harness the power of data. Together we ensure that data sharing keeps people at the forefront, always safeguarding privacy. Don’t miss this opportunity to explore how data can drive your organization forward. 📅 Save the date: November 11, 2024 💬 Let us know if you’re interested in attending! https://lnkd.in/eSM9KNBJ Joris Hutter ✔ #pmp #bluegenai #datainnovation #privacy

Proud to partner with PMP in hosting an expert session on Privacy Enhancing Technologies (PETs) on November 11. Looking forward to insightful discussions and collaboration opportunities! 👉 Details and registration: https://lnkd.in/eSM9KNBJ

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Dutch Server Location

Business Management

Utrecht Companies With Fewer Than 1000 Employees

The Netherlands Companies With Fewer Than 10 Employees (Top 10K)

The Netherlands Seed Stage Companies With Fewer Than 50 Employees

European Union (EU) Companies With Fewer Than 50 Employees (Top 10K)

BlueGen.ai is a firm that specializes in developing privacy-safe synthetic data by replicating real data, allowing for faster data-driven innovation.

UNIIQ

Seed Round - BlueGen.ai

Utrecht

The Netherlands

Europe

BlueGen.ai on LinkedIn: Here is Hiek Van der Scheer, Chief Data Officer at ABN AMRO Bank N.V. and…

Generates synthetic data that mimics real data while ensuring privacy.

Applies mathematical definitions of privacy to create privacy-safe synthetic data.

Generates new data points from existing data to improve ML model accuracy or create edge cases for testing.

Allows collaboration in generating synthetic data without exposing real data, using the structure and characteristics of the data sources.

Offers flexibility in deployment, allowing operation both in private clouds or on-premise.

Supports direct connection to databases and integration into data engineering pipelines.

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