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    Revvity Signals Notebook

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    Deployed on AWS
    Revvity Signals Notebook is a multi-disciplinary electronic notebook for efficiently capturing & sharing experimental data, as a central communication hub across decentralized organizations. The only cloud ELN with the power of ChemDraw, the industry's renowned chemical intelligence solution.

    Overview

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    The only future-proof electronic cloud-native lab notebook: Intuitive, easy to learn, fast to launch. Revvity Signals Notebook spans Biology, Chemistry, Formulations, and Analysis Use Cases. It is the cloud-based electronic lab notebook (ELN) and scientific collaboration platform for today's scientists. With embedded ChemDraw to support synthetic chemistry workflows, drag & drop capture of a wide variety of electronic data files, lightning-fast data entry & search, and a modern, highly responsive design, Signals Notebook is quickly becoming the preferred cloud-based ELN for discerning chemists and researchers. -Designed for R&D team in pharma, biotech, specialty chemicals, agrochemical, food & beverage, energy, and flavors & fragrances. -Define access permissions across your enterprise and external organizations. -Assign administrators to define metadata to be captured along with experiments, access rules, and more. -Retain ownership of data when researchers move on.

    Highlights

    • The Trusted ELN: Over 1 million scientists at 4000 organizations count on Revvity Signals Notebook to help streamline their workflows
    • Structured data capture with APIs and interfaces for integration with instruments, in-house systems, and databases
    • Flexibility and breadth to support the wide range of workflows now and in the future -- including both chemistry, biology, formulations, analytical sciences, and material sciences

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    Revvity Signals Notebook

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    Signals Notebook User
    User(s) Access to 1 Tenant in Multi-Tenant Environment
    $1,110.00

    Vendor refund policy

    No Refunds

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

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    Support

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    Product comparison

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    Updated weekly
    By Revvity Signals
    By TandemAI

    Accolades

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    Top
    100
    In Industrial
    Top
    10
    In Healthcare & Life Sciences, Application Stacks
    Top
    100
    In Data Governance

    Overview

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    AI generated from product descriptions
    Electronic Lab Notebook Capabilities
    Cloud-native electronic notebook supporting multi-disciplinary experimental data capture across biology, chemistry, formulations, and analysis workflows
    Chemical Intelligence Integration
    Embedded ChemDraw solution for synthetic chemistry workflow support with advanced chemical drawing and intelligence capabilities
    Data Management
    Structured data capture with APIs and interfaces for seamless integration with scientific instruments, in-house systems, and external databases
    Access Control
    Enterprise-level permission management with granular access controls and administrator-defined metadata and access rules
    Scientific Collaboration Platform
    Drag and drop electronic data file capture with lightning-fast data entry and search capabilities across decentralized research organizations
    Web-Based Platform
    Provides a web-based interface accessible through a browser for computational analysis and data visualization
    AI Computational Tools
    Integrates cutting-edge AI and physics-based computational tools for scientific research and analysis
    Free-Energy Perturbation Workflow
    Implements advanced Free-energy perturbation (FEP) workflow for predicting protein-small molecule binding affinities
    Generative AI Approaches
    Supports multiple reaction-based and generative AI powered approaches for small molecule ideation
    Resource Provisioning
    Automates computational resource provisioning and configuration in cloud infrastructure
    Data Integration
    Open platform with extensive integration network for lab instruments, informatics applications, and analytics partners
    Data Standardization
    Centralized and standardized scientific data repository enabling seamless interoperability across research environments
    Cloud Architecture
    Scalable and flexible cloud-based infrastructure supporting distributed research and data collaboration
    Interoperability Framework
    Supports diverse enterprise solutions through configurable platform with seamless data exchange capabilities
    Research Data Management
    Unified data preparation system enabling advanced exploration through data science and AI applications

    Contract

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    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

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    2 external reviews
    Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
    Surjit Singh

    Updating templates is straightforward and everything is automatically saved, but the workflow implementation is a pain point

    Reviewed on May 27, 2024
    Review provided by PeerSpot

    What is our primary use case?

    Revvity Signals Notebook is dedicated to the pharmaceutical industry, particularly for scientific support, drug discovery, and chemical-related experiments. It allows users to create templates for various experimental purposes and supports enterprise features like policy rules for different user types. As a system configuration engineer, I make these templates for different experimentation purposes for different sets of users. While we primarily use Signals Notebook, there are other products like VitroViewer for workflow execution with experimental data and Inventory for creating Lakehouse solutions. Our group usually uses Signals Notebook, though different teams might use Inventory or other products from the suite.

    What is most valuable?

    From my experience over the last fifteen months, the most valuable feature of the Revvity Signals Notebook is its ease of use. Customers appreciate that updating templates is straightforward and everything is automatically saved. The UI is simple, making, creating, sharing, and searching experiments easy. Different scientists can reference each other's experiments seamlessly. It is also swift compared to other vendor-built software, where you have to customize templates and write a lot of code. Revvity Signals Notebook excels in this aspect, making it smooth and efficient.

    Revvity Signals Notebook supports compliance within the pharma industry. It meets GXP requirements and security policies, depending on how meticulously you design your environment. Signals Notebook provides audit trails and features for making changes and giving audit details.

    What needs improvement?

    The workflow implementation is a pain point for customers because it relies on Spotfire with added plugins, which are not natively integrated. This makes execution slow and less effective in meeting all scientific workflow needs. Additionally, the support service is slow to respond and resolve issues. Even known problems take time due to a lack of a Sstrong developer support team, making it a significant product drawback. They also need to work on other products like Workflow, which still need to achieve these compliance requirements. While Signals Notebook is good enough to meet all the necessary needs, other products like BitLocker still need improvements to become fully compliant enterprise products.

    For how long have I used the solution?

    I have been using Revvity Signals Notebook for the past year and a half.

    What do I think about the stability of the solution?

    Revvity Signals Notebook is very stable because it was developed from scratch. Many users, almost a hundred thousand in our client environment, use this product, which is stable.

    However, other products that are not natively designed and developed by Revvity are unstable. For example, implementing workflows requires a lot of effort from developers to solve minor issues because the product tends to crash. These non-native products are volatile compared to Signals Notebook.

    What do I think about the scalability of the solution?

    It is a very scalable product.

    What other advice do I have?

    If you want to use Revvity Signals Notebook for the first time, my advice depends on your purpose. If you need to create templates for scientists to conduct and share experiments and reference others' work, you can definitely use this product. However, if you require complex workflows, data transformations, or integration with your data systems for advanced analytics, Revvity doesn't offer a fully stable product for these needs yet. For such cases, you would need your developers to use Revvity's REST API to expose data to your data lake, which can be costly and resource-intensive. You'll need to evaluate the additional costs and resources required beyond Revvity's product. If you're a small user group needing basic experimentation features, Revvity Signals Notebook is suitable. However, consider the additional value and cost before proceeding for comprehensive use with complex workflows and data integration.

    From an end user's perspective, Revvity Signals Notebook is easy to learn. It's tricky for a configuration engineer but not overly complicated. With skilled resources, the learning curve is around three to six months. Overall, it's not more challenging than other SaaS products, making it reasonably easy to use.

    I would rate the solution a six out of ten. The reason is that their focus seems to be on just one set of products, neglecting other products. Even though big pharma clients have been consistently pushing and giving them ideas on improving, they don't seem to have enough capacity to address those ideas. Clients are eager for improvements, but Revvity needs to take their feedback seriously and address the issues quickly. They are on a good path but need to put in more effort. Our client has been using their products for more than two years, and if the environment isn't stabilized within that time, they need to rethink their approach. They need to be more dedicated to addressing client needs.

    Which deployment model are you using for this solution?

    Private Cloud
    Jigar K A.

    Data Management tool

    Reviewed on Oct 31, 2022
    Review provided by G2
    What do you like best about the product?
    The software allows drag and drop, sharing and retrieving feature.
    What do you dislike about the product?
    The dashboard looks unpleasant in first time use.
    What problems is the product solving and how is that benefiting you?
    It is used to manage and and fit the datasets.
    View all reviews