Fine-tune Large Language Models
without privacy risks
Secludy offers a Differential Privacy fine-tuning platform for unstructured text data
Fine-tune LLMs on sensitive data with confidence, without the risk of exposing individual data points
Navigate AI regulations without sacrificing the ability to learn from sensitive data.
Overcome the limitations of existing data de-identification techniques like data masking and redaction.
Ensure your data assets and AI models have privacy-guarantees, reducing your compliance overhead.
Secludy is the perfect choice for anyone looking to unlock the potential of their data. Our platform allows you to fine-tune models using text data that was previously off-limits due to privacy concerns.
Secludy leverages Differential Privacy to provide rigorous privacy guarantees during LLM fine-tuning. Our platform simplifies compliance, enabling efficient and secure AI development on sensitive data
Secludy is designed for data science and ML teams, with an intuitive API and configurable privacy parameters. We handle the complex implementation, allowing your team to focus on fine-tuning LLMs while preserving privacy
We offer comprehensive customer support to ensure your success with Secludy. Our team of experts is available 24/7 to provide guidance, answer questions, and help with troubleshooting any issues you may encounter.
We take security seriously and are committed to protecting your data. You can self-host Secludy to ensure your data is always secure and only accessible by you.
At Secludy, we provide Privacy Enhancing Technology solutions to help you get the most out of your data. Our pricing plans offer a range of features to suit any budget and needs.
Differential Privacy provides formal, provable privacy guarantees for LLM fine-tuning that masking techniques cannot match. Differential Privacy prevents models from memorizing and leaking sensitive information, even under extensive attacks. It allows learning from all available data while preserving privacy, overcoming the limitations of masking, which may miss sensitive details and degrade model performance.
Differential Privacy enables your team to safely fine-tune LLMs on sensitive data, unlocking powerful AI capabilities without compromising individual privacy. This streamlines compliance for AI projects, reduces data access reviews, and accelerates the development of privacy-preserving AI applications, enhancing your team's ability to innovate with sensitive data.
To explore Secludy's capabilities, simply click "Schedule a Demo" on our website. Fill in your details, and we'll arrange a personalized demonstration to show how our tool can seamlessly integrate into your systems and empower your team with privacy-compliant fine-tuning.
Secludy is designed for data scientists and ML engineers with experience in LLM fine-tuning. Our API and configurable privacy parameters make implementing DP straightforward for teams familiar with standard fine-tuning workflows.
Absolutely! Secludy offers an enterprise-level plan with the option for self-hosting, ensuring full control over your data and tools. Whether it's in your private cloud or on-prem, our solution adapts to your unique security and compliance needs.
If you have any further questions about Secludy, please do not hesitate to contact us.