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GenAI research platform for life science leaders
GenAI research platform for life science leaders
Searching and skimming through documents in your workplace, or surveying the published literature, requires significant time and effort from R&D and product teams. Enread accelerates the process of finding, reading and reaching conclusions by summarizing articles and documents into informative visuals.
Systematic comparison of multiple sources of information for literature surveys and product analysis can take days to weeks. Enread quickly builds interactive comparison tables using categories you define or by using pre-defined categories for R&D and product experts.
Planning experiments that have a good chance to succeed is a top priority. Use Enread to extract and consolidate protocols or study designs from the literature at scale to optimize the design of your experiments.
Make presentations from articles or technical documents automatically, or extract, manipulate and generate figures from articles to add to your presentations or reports. Boost the way you collaborate and convey information to team members, other teams, and stakeholders.
Enread integrates with your existing software, including content and file managers, knowledge managers, project managers, and ELN / LIMS software – to securely store discovered knowledge or turn existing files and wiki pages into actionable, truly visual knowledge.
Enread was founded by three childhood friends with passions for software, AI, and life science.
We founded Enread to help domain experts become more productive: work & collaborate faster, make fewer errors, and remain engaged.
We do this by bringing generative AI (GenAI) into daily knowledge-intensive workflows. Our platform is enabling and accelerating innovation in scientific research and science-driven product and drug development.
We’re building the platform together with a growing community of science experts from biotech firms, pharma companies, and academic research labs.
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