Pricing score

Roseman Labs Pricing Profile

The Roseman Labs platform enables you to encrypt, link and analyze multiple data sets, while safeguarding the privacy and commercial sensitivity of the underlying data.

HQ Location

New York, USA

Category:

Key Takeaways

Automated Labeling

Roseman Labs uses machine learning models to assist in automatically labeling data, such as images, text, and videos. The AI learns from human-labeled data and can suggest labels for new datasets, speeding up the annotation process.

Active Learning

The platform employs active learning techniques to continuously refine and improve its models based on user feedback, making it more efficient and accurate over time.

Quality Control

While the AI handles much of the labeling, human experts review and validate the labels to ensure high accuracy and correctness. This is particularly important for complex or ambiguous data that AI models might struggle with.

Product Overview

Roseman Labs is a company focused on providing data labeling and annotation solutions powered by machine learning and human-in-the-loop technologies. The company offers a comprehensive platform for efficiently preparing datasets for training AI and machine learning models. By combining automation with human expertise, Roseman Labs ensures high-quality, accurate data labeling, which is essential for building successful machine learning applications.

Roseman Labs offers a flexible and scalable data annotation platform designed to meet the needs of industries that require large, accurate datasets for machine learning tasks, including computer vision, natural language processing (NLP), and more. Their platform is tailored for both small and large-scale annotation projects, leveraging AI to speed up the process while maintaining human oversight to ensure the quality of the annotations.

INSIGHTS

Our insights about Roseman Labs pricing

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How much does Roseman Labs cost?

Roseman Labs does not publicly disclose its pricing on its website, as costs can vary based on factors like company size, the products selected, and specific requirements. For the most accurate and personalized pricing information, it’s best to contact Roseman Labs directly through their website or speak with a sales representative.

What users say about Roseman Labs pricing

Eline van den Heuvel

The best part is that it provides solutions for domain specific automation needs letting customers focus on faster and smarter decision making capabilities. It requires "no-code" to build and deploy AI . It is very user friendly and has streamlined process from integrating till deploying/delivering the models which ensures ease of integration.

Femke v. d. Wall

Working with data in healthcare is often made so complicated and time consuming. Roseman Labs makes it fast and easy to conduct targeted healthcare research.

Ako Madomi

It's fast, it's safe, it's accurate. We get the insights we need to help our citizens, without ever seeing their personal data.

National Cyber Security Centre NL

We support specific initiatives vital for our European and national cyber security and strategic autonomy. Roseman Labs' solution is such an initiative.

Eline van den Heuvel

Ako Madomi

It's fast, it's safe, it's accurate. We get the insights we need to help our citizens, without ever seeing their personal data.

Femke v. d. Wall

Working with data in healthcare is often made so complicated and time consuming. Roseman Labs makes it fast and easy to conduct targeted healthcare research.

National Cyber Security Centre NL

We support specific initiatives vital for our European and national cyber security and strategic autonomy. Roseman Labs' solution is such an initiative.

Roseman Labs Pricing Rating

Team Collaboration: 4.8/5

The platform supports collaboration among multiple users and teams. This allows for a more efficient and streamlined workflow, with roles and permissions tailored to different users' needs.

Large-Scale Projects: 4.7/5

Roseman Labs is designed to scale, allowing users to handle annotation projects of any size. Whether annotating a few hundred or millions of data points, the platform can accommodate large datasets without sacrificing quality or efficiency.

Custom Workflows: 4.9/5

Users can define specific workflows based on their needs. Roseman Labs supports various configurations to handle complex, industry-specific data annotation tasks.

FAQ on Roseman Labs Pricing

What is Multi-Party Computation?

Multi-Party Computation (MPC) is a privacy enhancing technology that enables multiple parties to analyze data together without revealing the actual data to each other. It allows for calculations like averages and comparisons across different datasets while keeping the individual records in the data private.

At its core, MPC encrypts and divides data at its source into 'secret shares'. These shares, which reveal nothing on their own, are then distributed across three servers that work together as an engine. The servers perform calculations on the secret shares, and only the final result is decrypted and shared with the analyst - assuming the analysis has been approved.

This ensures that sensitive data remains protected throughout the analysis process, providing a secure way to gain insights from multiple data sources without compromising privacy.

What type of computations can be done on data in Roseman Labs?

Many common types of data analysis computations can be performed in the Roseman Labs engine, including more complex calculations like logistic and linear regression, as well as K-nearest neighbors. Our engine translates any Python code you write so that it can be executed without revealing the underlying data, thanks to the expertise of Roseman Labs’ cryptography team.

How can input data quality be ensured if it is not visible?

As part of our data request functionality, Roseman Labs includes robust data validation features. When a data request is initiated, the user can define validation rules such as specific column names, data types, and constraints like minimum and maximum values, required strings or the option to leave a column empty.

These validation checks are performed client-side, ensuring that the data meets the specified schema and rules before it is uploaded to our platform. This means the participant’s data is thoroughly validated on their device, maintaining privacy and ensuring quality without exposing the data.

How secure is Roseman Labs?

The engine operates on three servers in different clouds (OVHcloud, Fuga, and Scaleway), each controlled by different cloud admins. Due to the Multi-Party Computation protocol used, a majority of these parties would need to collude to reveal the underlying sensitive data. It is mathematically proven that no data can be revealed as long as the parties operating the servers do not collude.