pharmaceutical document AI - AI tools

Pharma.ai is a commercially-available generative AI and automation platform designed to enhance the quality and productivity of pharmaceutical research.

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Insilico Medicine utilizes generative artificial intelligence and robotics to accelerate drug discovery and development, aiming to reduce the time and cost of bringing new medications to patients.

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OKRA.ai provides AI-powered solutions for the healthcare and pharmaceutical industry, offering intelligent decision-making tools for commercial, medical, access & pricing, and real-world evidence analysis.

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Lavo Life Sciences offers innovative AI-driven chemistry simulation tools aimed at expediting drug development for the pharmaceutical industry.

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Yseop is an AI platform specializing in automating regulatory and medical writing workflows, helping pharmaceutical companies generate compliant documentation faster and more efficiently.

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DrugPatentWatch offers comprehensive biopharmaceutical intelligence, including global drug patent data, clinical trials, litigation tracking, and market insights. Utilize its AI research assistant for authoritative, cited information to inform strategic decisions.

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• From 595$

Pharmabug is a free, AI-powered directory connecting users with pharmaceutical and supplement companies worldwide. It simplifies finding suppliers based on location, industry, and certifications.

• Freemium

Synapse Medicine provides AI-driven clinical decision support components for EHRs and e-prescribing software, enhancing medication safety and streamlining workflows.

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Aizon provides AI-powered software solutions for pharmaceutical manufacturing, improving yield, reducing deviations, and ensuring product quality in real-time.

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DrugCard streamlines drug safety routines with AI-powered data intelligence, offering comprehensive local medical literature screening in over 100 languages.

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BenevolentAI accelerates drug discovery by leveraging its proprietary AI platform, the Benevolent Platform™, to generate novel insights and increase the probability of clinical success.

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