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Amass has enhanced report management by repositioning placeholders and introducing a global data context. These updates improve visibility and ensure consistent data environments across templates.

We have added filtering to the template library, enabling users to easily find and organize templates. This supports efficient individual and team workflows.

Explore the new text wrapping feature in Amass's sidebar, allowing full visibility of item names and improving workflow clarity.

The new cloud storage integrations in Amass allow users to securely connect files from Microsoft SharePoint and Google Drive directly into the platform. The integrations support secure authentication, respect existing permissions for seamless team collaboration, and can be set up in just a few steps, helping life science teams unify internal and external data into a single intelligence environment.

New features allow users to export diagrams as SVG or PNG files and tables as CSV or Excel files for better data analysis. Swimlane diagrams now have customizable text visibility and can also be exported as PNG files, enhancing control and integration of data into workflows.

AI is transforming every stage of drug discovery, from precision literature mining to real-time safety monitoring—all while slashing timelines and R&D costs by orders of magnitude. This article spotlights ten cutting-edge AI strategies powering breakthroughs like 50–100× higher hit rates and 96% accuracy in target prediction, plus actionable guidance for integrating these tools into your pipeline. Curious which AI moves you can't afford to miss? Dive in for the specifics.

The PDF export experience has been significantly enhanced, allowing users to generate high-quality, fully editable PDFs from assets with a simple click. The layout is polished and professional while maintaining the platform's authentic look and feel, promising a better user experience.

Go/no-go decisions in pharma R&D determine which innovations reach patients, yet most teams still struggle with late-stage failures rooted in early missteps. This article reveals 12 transformative strategies harnessing Bayesian statistics, AI-driven predictive modeling, real-world evidence, and cross-disciplinary integration to catch risks earlier and boost candidate quality. Ready to see how cutting-edge teams are rewriting the rules of R&D progress?

The new Templates section in Amass allows users to standardize outputs like reports and analyses. It features a library of pre-made templates, instructions on creating custom templates, and guidance on managing personal versus team templates, including how to find, preview, create, edit, and share them.

This feature allows users to create reusable templates from existing documents by analyzing their structure and extracting customizable sections and variables. The process involves uploading a document, which the system then transforms into a template with placeholders for easy adaptation. Key benefits include significant time savings, knowledge capture for future use, preservation of document formatting, and flexibility for various applications.

This feature allows users to reuse existing tasks as context for new inquiries, enhancing efficiency and collaboration. Users can select completed tasks to import their findings, facilitating knowledge management and continuity in workflows.

Sharing tasks or assets with co-workers is simplified, allowing them to clone your work seamlessly. You can share with the entire team or provide a public link to specific individuals for cloning, provided they are logged in to the platform.

Public links allow sharing work securely outside the organization with unique links that can be revoked. Search engines do not index these links, ensuring data is only accessible to those with the direct link.

New features enhance team collaboration by allowing easy task sharing and context usage for new tasks. The user experience is improved with simplified navigation and direct access to team files, while newly created assets are organized in a dedicated library, reducing clutter and increasing productivity.

Suggested follow-up questions have been added to every response to help users work faster and explore new angles. Clicking a suggested question adds it to the input field without automatic submission, allowing for editing before sending.

We received positive feedback on our small but powerful feature that generates tailored questions to fit your context.

This video explains the mechanisms Amass provides for structuring research, preserving context, and supporting evidence-based decisions. It is intended for scientists, R&D leaders, and other professionals seeking to understand how to apply our platform to their work.

A tool has been created to help users generate tailored questions for research by inputting their organization's name and type. It provides inspiration rather than perfect solutions, assisting users in starting their tasks effectively.

Users can now export assets as PDF from the asset view page by clicking the three dots in the top right and selecting "Save as PDF."

The user experience in message tools has been improved with a cleaner interface that reduces visual clutter while maintaining transparency about the data context for each answer, ensuring users can understand the source of the information provided.

Users can now convert a full task conversation into a data source, enhancing the functionality of task management.

You can now convert any answer into a reusable source for future tasks, which can be shared with your team. Converted messages retain their citations, but the source will not remain linked to the original task, facilitating the creation of a knowledge library for various projects.

Templates is a new feature that allows users to standardize and scale workflows by converting successful tasks into reusable blueprints. Key features include AI-assisted creation of templates, a centralized library for managing templates, dynamic placeholders for variable content, and premade templates for common tasks. The process involves creating a template from a completed task, refining it, and reusing it to enhance efficiency and consistency in complex tasks.

A definition for scoring PubMed journal quality has been added, allowing users to adjust quality by changing filters for journal quality, citation count, and publication year.

You can now edit answers directly to enhance task context or add knowledge before creating assets, providing more control and allowing specific portions of an answer to be converted into a source while omitting unnecessary information.

Introducing Suggest Context, an AI-powered feature that provides intelligent recommendations for relevant data sources based on user queries. Users can type their research questions, click the "Suggest" button, and receive instant highlights of appropriate sources, streamlining the research process and saving time.

A new feature allows users to upload files directly to a team drive, enhancing convenience and ensuring all team members have immediate access to necessary resources for their research purposes.

Experience the full power of Amass in this comprehensive, end-to-end walkthrough. We guide you through the entire lifecycle of a research project—starting with high-level queries and advancing to complex, structured investigations using Research Mode. You will learn how to seamlessly convert your findings into reusable Sources for your team and instantly generate professional Assets. Whether you are conducting a quick literature review or a deep-dive market analysis, this tour shows you how to orchestrate every feature to accelerate your workflow.

A quick demonstration showing you exactly how to add a file from your local machine directly into your data context.

Our complete visual transformation brings you a fresh, modern interface that's cleaner and more intuitive than ever before. Every visual element has been carefully refined to create a polished, cohesive experience that makes the app not only look better, but work better for you.

In this article, Alexis Yang (https://www.linkedin.com/in/alexis-yang-s/) gives us a look into her time as an intern at Amass after finishing her Master’s degree at MIT in Computation and Cognition. Alexis shares her expectations, what it’s like to intern in Copenhagen, and how she developed Amass’s trial agent, from inception to launch.

COPENHAGEN, August 2025, Amass, the AI-native intelligence platform, just announced €1.4 million in pre-seed funding in a highly competitive round led by Giant Ventures, and joined by Kost Capital and Dr. Christian Thirion, founder and CEO of Sirion Biotech GmbH, acquired by Perkin Elmer, Dr. Christian Thirion, and EIFO, Danish Sovereign Wealth Fund - Denmark’s largest life science investor.