Biolevate


Impact

Our mission is to accelerate healthcare innovation by combining artificial intelligence and life sciences expertise to streamline research and therapeutic workflows, improve access to scientific and regulatory knowledge, and help deliver better patient outcomes faster and more compliantly.

Solution

Our solution is a proprietary AI-driven knowledge management platform for life sciences, designed to centralize, extract, structure, and synthesize scientific and regulatory information. It helps teams automate complex workflows (eg. literature reviews), generate compliant and traceable documents, and integrate the process into existing systems through a flexible platform and API offering.

Success story with Orange

Together with other key actors of the healthcare ecosystem, we work on the AIOLOS project, which aims to detect respiratory epidemics earlier, monitor them in real time, and anticipate their dynamics; produce contextualized alerts and robust forecasts to support public-health decisions. In this context, Orange hosts and collects epidemiological data. Biolevate turns it into evidence and analytics to help decision-making.

Impact

Our technology creates impact in a few concrete ways:
It saves time: we’ve seen up to 50–70% reduction in effort across literature review, validation, and document creation workflows.
It boosts productivity: teams can achieve 2–3× higher throughput, so the same resources can deliver much more.
It improves quality and compliance: validation and audit features help reach 95–99% accuracy while keeping outputs traceable and reviewable.
It accelerates decision-making: literature review timelines can drop from 80+ days to 5 days.
It reduces operational costs: automation and better resource allocation can generate 30–50% cost savings versus manual processes.
It strengthens knowledge reuse: centralized access to prior studies and source materials helps teams build on existing work instead of starting from scratch.
In short, our solution turns scientific and regulatory information into faster, more reliable, and more scalable decisions for life sciences teams.

More informations

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