Nautilus.ai

A biotechnology stakeholder developed a new solution for diagnostics in oncology. They identified the analysis of the results as a remaining bottleneck in the diagnostic process, and wanted to offer a solution at this step of the value chain.

To help our clients, we developed a dashboard, that would convert simple questions into actionable insights. With our client’s input, as well as the insights of potential future users, we developed a dashboard that used state-of-the-art natural language processing (NLP), to create meaningful graphs and extracted statistical parameters from the complicated underlying data.

Our project enabled our client to get an insightful dashboard while guaranteeing data protection and avoiding hallucination from the generative AI model.

Alcimed supported a biotechnological start-up in developing an AI-powered dashboard for interpreting experimental results, transforming user queries into informative graphs for intuitive data analysis.

We conducted thorough research to identify the most suitable tools for platform development, including libraries and existing open-source projects, and then developed and tested the solution’s backend to ensure functionality and reliability. We crafted the graphical elements of the dashboard, aligning them with the client’s graphic charter for cohesive branding and user experience.

In the end, our team developed a useful interface that allowed to enhance our client’s R&D processes, offering valuable insights in a user-friendly format. This interface was not only intended to serve internal purposes but also to showcase a visually appealing aspect, impressing potential investors and clients and leaving a lasting impression.

We supported a pharmaceutical laboratory in the design and deployment of a Knowledge Management tool designed to facilitate the search for precise information on specific questions in natural language, based on internal documents.

During the first stage of this project, our team mapped all document sources and exchanged with the POC’s target businesses to identify expected functionalities. Following these investigations, we proceeded with the development and testing of the tool during several business workshops. Ultimately, this POC enabled our client to demonstrate the usefulness and technical performance of such a Knowledge Management tool, before rolling it out to all departments.

Alcimed worked with a top pharmaceutical client to develop a comprehensive process and project management product-specific tool to plan and prioritize actions at the right timing to efficiently launch multiple products on hematology in a short timeframe.

At first, our team defined a clear vision of what the tool should be, key parameters, required data, and future use cases, including format, information granularity, and outputs desired. We then proceeded to define a set of operational activities (e.g. segmentation and targeting strategy, environmental field campaign, product availability, etc.) for the launch of a product to be implemented in the tool. For each activity, all the relevant steps for the launch of the product, the process evolution criteria, and associated decision processes were characterized and implemented in the final version of the tool.

In the end, we built a product-specific project management tool to optimize the process of the launch of several products within a short period. The intuitive and easy-to-use tool provided a clear visualization of the potential bottlenecks, teams’ planning, and the different activities details (“to-do lists”), enabling our client to sequence and optimize their product launches.

A pharmaceutical laboratory wanted to modernize its scientific monitoring by integrating an AI solution capable of analyzing and synthesizing the latest publications, clinical studies, and therapeutic trends in real time. The goal was to provide medical and marketing teams with actionable insights to accelerate innovation and strengthen their strategic positioning.

To achieve this, we supported the client in designing and deploying this tool, following a collaborative and iterative approach:

• Market research to identify doctors’ needs and expectations, in order to align the solution’s features with their usage.
• Co-creation with the client’s digital teams to develop an intuitive tool, incorporating features such as automatic trend detection and the generation of personalized reports.
• Rollout management with field teams, to ensure smooth adoption and measure operational impact.
• Creation of playbooks for medical and marketing teams, detailing best practices, use cases, and integration processes into their daily workflows.

Thanks to our work, our client was able to deploy an operational AI tool, adopted by end users, that turns scientific monitoring into a strategic lever.

A major player in the pharmaceutical sector was looking to optimize its engagement with Key Opinion Leaders (KOLs) to maximize value creation and align its interactions with its strategic priorities. The challenge was to transform an often intuitive and manual approach into a data-driven process capable of recommending the most relevant KOLs based on the group’s strategic objectives.

To address this need, we designed and digitized an intelligent decision-making framework incorporating advanced data analytics and natural language processing (NLP) algorithms. This platform makes it possible to:

• Analyze KOL profiles (expertise, influence, engagement history, etc.) alongside the client’s strategic priorities.
• Recommend the most suitable KOLs for each initiative, in real time, based on defined criteria.
• Predict KOL trajectories to identify tomorrow’s emerging figures and begin collaborating with them early.
• Ensure consistency and impact in interactions, while complying with data protection and regulatory requirements.

Ultimately, the client received a solution that enables them to engage the right people, at the right time, and with the right strategic objective, all while reducing human bias and accelerating decision-making.