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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.
    3.7

    Overview

    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
    $1,325.00

    Vendor refund policy

    No Refunds

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    Legal

    Vendor terms and conditions

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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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    Vendor resources

    Support

    Vendor support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly
    By Revvity Signals
    By TandemAI

    Accolades

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

    Overview

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    AI generated from product descriptions
    Embedded Chemical Structure Drawing
    Integrated ChemDraw functionality for chemical intelligence and synthetic chemistry workflow support
    Multi-Disciplinary Experiment Support
    Support for Biology, Chemistry, Formulations, Analysis, and Material Sciences use cases within a single platform
    Data Integration and Structured Capture
    APIs and interfaces for integration with laboratory instruments, in-house systems, and databases with structured metadata capture
    Enterprise Access Control
    Role-based access permission management across enterprise and external organizations with administrator-defined metadata and access rules
    Cloud-Native Architecture
    Cloud-based deployment with drag-and-drop data file capture, lightning-fast data entry and search capabilities, and modern responsive design
    Web-Based Interface
    User-friendly and collaborative graphical interface accessible through a web browser for seamless integration and visualization of experimental data alongside computational analyses
    Free-Energy Perturbation Workflow
    State-of-the-art Free-energy perturbation (FEP) workflow for predicting protein-small molecule binding affinities
    AI-Powered Molecular Design
    Multiple reaction-based and generative AI powered approaches for small molecule ideation and design
    Physics-Based Computational Tools
    Suite of physics-based computational tools integrated with AI capabilities for drug discovery applications
    Automated Resource Provisioning
    Automated provisioning of computational resources and configuration of services within a customer's own VPC on AWS Cloud
    Open Data Platform Architecture
    Open and highly configurable platform supporting enterprise best-in-breed solutions with diverse and changing requirements
    Instrument and Application Integration Network
    Largest integration network of lab instruments, informatics applications, CRO/CDMOs, analytics, and data science partners enabling seamless interoperability
    Centralized Data Standardization
    Unifies and standardizes R&D data from disparate sources into a centralized repository for advanced exploration and analysis
    Data Preparation and Science Capabilities
    Prepares R&D data for advanced exploration through support for data science and AI applications
    Secure External Collaboration
    Enables secure collaboration with external partners including CROs and CDMOs to facilitate distributed research

    Contract

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    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

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    3.7
    3 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
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    67%
    33%
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    0 AWS reviews
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    3 external reviews
    External reviews are from G2  and PeerSpot .
    Pablo Laser

    Digital lab collaboration has transformed how we centralize, share, and template experimental data

    Reviewed on Jan 30, 2026
    Review provided by PeerSpot

    What is our primary use case?

    My main use case for Revvity Signals Notebook  is as an admin for the company and also as a simple user for the process development of my company, which focuses on chemical process development.

    A specific example of how I use Revvity Signals Notebook  in my chemical process development work is that we use it to study the optimization of chemical reactions, and we use the lab notebook to take notes and compile all the data.

    I would add that we are now starting to implement artificial intelligence, so we use the lab notebook to compile all the data to feed this artificial intelligence in our company.

    What is most valuable?

    The best features Revvity Signals Notebook offers include the significant difference between it and paper notebooks. Now we can get all the data in one single computer from several users. We changed our mindset, and now we can compile all the data from several projects.

    This feature has helped my team and made our work easier because we can work in a more efficient manner, and we also save a lot of time because we can use templates for experiment creation, allowing us to avoid repetitive tasks.

    Revvity Signals Notebook has positively impacted my organization by allowing us to work together across several sites. My company has two sites in different cities, so now we can work together and compile all the data in one place. We can work on one experiment across different sites of the company.

    I am unable to share specific metrics or examples, but I can say that this cross-site collaboration is very useful for us.

    What needs improvement?

    If I could suggest improvements for Revvity Signals Notebook, I would implement a technology inside Signals to extract data more easily. I know they have Signals Connect, and they can manage all the data with this platform, but I would like to extract the data to combine these numbers with our database.

    I think that covers what I want to add about needed improvements regarding integration with other tools or user interface.

    For how long have I used the solution?

    I have been using Revvity Signals Notebook since 2023, and since this year, I am the admin of this platform.

    What do I think about the stability of the solution?

    I do not have any complaints about Signals, so I think it is very stable.

    What do I think about the scalability of the solution?

    I think Revvity Signals Notebook has very good scalability since we will double our license.

    How are customer service and support?

    The customer support is excellent, as they answer very quickly, so I do not have any complaints about them.

    How would you rate customer service and support?

    Positive

    Which solution did I use previously and why did I switch?

    This is the first time I have used this kind of technology. I come from paper notebooks, so for us, it is a very significant step forward.

    I think we evaluated different options before choosing Revvity Signals Notebook, but I do not have them in mind.

    What was our ROI?

    I am not able to share relevant metrics with us regarding return on investment, such as money saved, time saved, or fewer employees needed.

    What's my experience with pricing, setup cost, and licensing?

    My experience with pricing, setup cost, and licensing is that they have a very competitive budget.

    What other advice do I have?

    I trust the Signals support team regarding collaboration and data security, although I am not entirely certain about the security of Revvity.

    My advice for others looking into using Revvity Signals Notebook is to clarify how they introduce the data into the notebook, as this is very important.

    For now, we are very happy with Revvity Signals Notebook. I give this product a rating of eight out of ten.

    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.

    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