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Nanome Launches AI Assistant "MARA" for Scientists in Biopharma R&D

San Diego-based startup Nanome introduces MARA, an AI assistant designed for chemists in biopharma research and development. MARA utilizes large language models and real-time data to assist scientists with tasks and provide responses, with plans for future integration into virtual environments.

Nanome, a San Diego-based startup specializing in virtual reality (VR) tools for molecular research, has unveiled a new generative AI assistant named MARA. This AI copilot is geared towards aiding chemists working in biopharma research and development, streamlining tasks and providing valuable insights. As the potential of AI in critical fields such as drug discovery continues to be explored, MARA is poised to support scientists in both text-based and future VR environments.

Key Features of MARA:

  • Text-Based AI Assistant: MARA is accessible through a web interface similar to OpenAI's ChatGPT. Scientists can input questions and receive informative responses.
  • AI Capabilities: MARA leverages large language models (LLMs) and real-time data access to offer meaningful answers and suggestions to scientific queries.
  • Integration with VR: In the future, MARA will be incorporated into Nanome's VR (AR/VR Platform) and support various interaction modalities, including voice, eye tracking, gestures, and text-based input.
  • Wide Range of Tasks: The AI assistant can explore, prepare, and rectify molecular file formats, perform complex multi-step processes, and retrieve data from various sources, contributing to faster and more efficient research.
  • Scientific Accuracy: MARA provides scientifically accurate information and is designed to avoid generating erroneous data.

MARA is already being used by leading pharmaceutical companies, many of which are established users of Nanome's VR platform for molecular research. The response from chemists and biologists testing MARA has been overwhelmingly positive, with potential to save time and enhance structure-activity relationship (SAR) analysis. Over half of the top 20 global pharmaceutical companies rely on Nanome's VR technology for molecular structure understanding.

The company intends to optimize MARA for biopharma R&D in the near term. In the future, the AI assistant will be integrated into the VR platform and expand its capabilities to work with various scientific data, including genetics, clinical information, material science, and more. Ensuring transparency, accountability, and alignment with user needs will be crucial for gaining trust and widespread adoption.

Nanome's MARA represents a valuable AI assistant for scientists in biopharma research and development, offering support for various tasks and providing scientifically accurate insights. As the tool expands its capabilities and integrates with VR environments, it has the potential to revolutionize scientific research processes and streamline data analysis.