Cynthia Data
Cynthetic data generator for training and testing AI models
Hi Indie Hackers! 👋
I’m Craig Calderone, CEO & Co-founder of Cynthia Data, and I’m thrilled to share that we’ve just launched the beta version of our product! 🎉
What is Cynthia Data?
Cynthia Data is a platform for synthetic healthcare data generation. Our mission is to help researchers, startups, and healthcare innovators generate realistic, privacy-preserving datasets without the headaches of traditional data sharing or anonymization.
Why We Built This
Working with healthcare data is challenging. Privacy regulations and access limitations can slow down innovation. We saw a need for a solution that’s:
Secure: No risk of exposing real patient data.
Flexible: Tailored datasets for testing, training, or simulations.
Accessible: Easy for non-technical users but robust for data scientists.
Cynthia Data simplifies data generation so teams can focus on building, analyzing, and innovating.
What’s in the Beta?
Customizable Data Generation: Create datasets specific to your needs.
Privacy by Design: Built to align with HIPAA and other data protection standards.
User-Friendly Tools: Accessible for anyone, whether you're technical or not.
Our Journey So Far
After months of development, feedback, and testing, we’re excited to share Cynthia Data with the world. This beta launch is a crucial step in validating our product and refining it with input from users like you.
How You Can Help
We’d love your feedback! Here’s how you can support us:
Check out our beta at bacclabs.io.
Share your thoughts—what works, what doesn’t, and what features you’d like to see.
Spread the word to anyone who might benefit from synthetic healthcare data.
What’s Next?
Our roadmap includes expanding our features, integrating more customization options, and supporting new industries where synthetic data can make an impact.
Let’s Chat!
I’d love to hear your thoughts, answer your questions, or brainstorm how Cynthia Data could help your project. Let’s build something amazing together!
👉 Try it out: bacclabs.io
We've been working on getting LLM's to respond with specific healthcare data based on anonymized input and just got a section breakdown of a full EHR record! Currently built through bedrock and using a react app
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