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Science MMAI Gym

LLM training and optimization for drug discovery using proprietary datasets, reasoning models, and validated chemical and biological intelligence.

Solution by Insilico Medicine
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Overview

Science MMAI Gym, developed by Insilico Medicine, is a specialised training ground for large language models (LLMs) focused on drug discovery and development. The platform leverages Insilico Medicine's proprietary data, reasoning datasets, and validated models to enhance an LLM's intelligence across pharmaceutical and life sciences tasks. It is designed for organisations that want to upgrade their own proprietary models, as well as those who need access to pre-trained foundation models for drug discovery workflows.

The MMAI (Multi-Modal AI) Gym offers two primary collaboration pathways: improving the drug discovery capabilities of an existing LLM through a structured training regime, or accessing Insilico Medicine's own Pharmaceutical Super Intelligence (PSI) models to build agentic workflows directly.

Core Capabilities

  • Leverages Insilico Medicine's proprietary data and reasoning datasets to boost LLM performance on drug discovery and development tasks
  • Provides validated Chemical Super Intelligence (CSI) and Biological Super Intelligence (BSI) models as part of the Pharmaceutical Super Intelligence (PSI) framework
  • Supports the development of agentic workflows for drug discovery and development using PSI models
  • Offers experimental validation of model outputs through an integrated automation laboratory
  • Trains open-source foundation models for organisations that do not have their own proprietary LLM

Training Programme for Your Own LLM

  • Subscribe to a structured 3-month training session designed to measurably improve model performance on drug discovery benchmarks
  • Upgrade a proprietary LLM into a best-in-class foundation model for drug discovery tasks using Insilico Medicine's training regime
  • Track and monitor improvements in model output quality over the course of the training engagement
  • Experimentally validate model outputs using Insilico Medicine's automation lab infrastructure

Building Agentic Workflows with PSI Models

  • Access validated CSI (Chemical Super Intelligence) models to support chemistry-related drug discovery tasks
  • Access validated BSI (Biological Super Intelligence) models to support biology-related drug discovery and development tasks
  • Use these models as building blocks to construct intelligent, agentic workflows across the drug discovery pipeline
  • Organisations without their own LLM can request access to the latest versions of CSI and BSI directly

Science MMAI Gym is available through a session-based booking model, with options for personal training sessions for organisations bringing their own LLM, or direct access requests for those seeking to leverage Insilico Medicine's CSI and BSI foundation models.

Meta

Domain
Research Intelligence & Discovery
Subdomain
Autonomous AI Research Agents
Software type(s)
Foundation Model / API
Deployment type(s)
Cloud / SaaS
Industry vertical(s)
PharmaBiotechAcademic / Research
Development stage(s)
Research & DiscoveryPreclinical / Pre-Market
Target user(s)
Research ScientistBioinformatician / Computational ScientistMedicinal ChemistIT / Systems Admin / Data Engineer
Tag(s)
Uses AI