Encrypted computing is a powerful tool for secure, collaborative data analytics. Its historical complexity in practical application meant that it was not a commercially viable technique for processing sensitive data at scale – until now. Roseman Labs dissolves this complexity, putting the power of cryptography into the hands of users.
Becoming a leader in this emerging field requires mastery of six technical pillars. Here’s how Roseman Labs delivers:
1. Rich set of data analysis features
Encrypted computing is still a young market. To unlock value, users need a broad, composable toolbox of analytics functions for rapid use case discovery and frictionless implementation.
At its core, Roseman Labs enables organizations to pull from relational databases, join sensitive datasets across parties, and collaborate securely. And all of this with unprecedented mutual confidentiality guarantees. No data partners, Cloud providers or even Roseman Labs, ever see the plaintext data – setting us leagues apart in our security.
2. Easy to use
Encrypted data collaboration involves multiple stakeholders, from data scientists to compliance officers. Our web interface makes governance and approval simple, while our crandas Python client (inspired by pandas) keeps data scientists in familiar territory. With added support for machine learning workflows and seamless integration with the Python ecosystem, teams can move fast without a steep learning curve.
We also offer predictive analytics functions inspired by Scikit-learn, a leading Python machine learning library. By building on Python, users can easily combine our capabilities with the rich ecosystem of built-in modules—whether that means triggering an email when an analysis completes or integrating with other workflows. Strong developer documentation further ensures teams can adopt and extend the platform with ease.
3. Fast, flexible deployment
This item might sound cliché, but is extremely important - technology only matters if it runs reliably in production. With a cloud-first, containerized strategy, Roseman Labs is provider-agnostic and can spin up secure data spaces in minutes, ensuring customers can get to value quickly.
4. Large-scale data handling
From thousands to hundreds of millions of records, scale matters. Our platform not only processes massive datasets but also ensures smooth user experience with features like progress indicators and resilient recovery from network interruptions.
5. Speed at scale
Encrypted computing carries inherent overhead, but our architecture is engineered for performance.
We’ve developed new cryptographic techniques to accelerate core operations such as joins, group-bys, and encrypted machine learning training - many of which we have now patented.
From day one, our encryption engine was built for commodity hardware, with a fully asynchronous architecture that scales efficiently across multi-core NUMA systems. This foundation is proving invaluable as we take on ever-larger production workloads – making encrypted analytics fast enough for real-world operations today.
6. Cost effectiveness
Even in an emerging market, cost discipline is essential. Our architecture scales quickly for short-lived, high-performance batch processing, and again for efficient always-on operations - optimizing for both performance and economics in the Cloud.
Consistent and constantly-improving delivery in these six aspects has set Roseman Labs apart as a leader in encrypted computing, delivering secure, collaborative data analytics at scale, for real-world workloads.
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Roseman Labs is revolutionizing the possibilities of encrypted computing. Our product enables you to use sensitive data in a secure way, whilst safeguarding individual and commercial privacy.