SynPlan

Establishes program objectives, customizable workflows, hypotheses, and serves as collaboration
center. Manages full Design-Make-Test-Analyze (DMTA) cycles. Takes novel targets to SynDesign and novel molecules – from any 3rd-Party system – to SynRoute and SynPlan.


SynDesign

A neuro-symbolic, neuro-physical AI system for molecule generation and property prediction.
SynDesign accurately predicts molecule properties such as affinity, selectivity and ADME
properties using a semi-supervised, transformer-based machine learning technique. The
chemist-first, semantically constrained AI requires 90% less data than other systems giving
fewer ‘false designs’ & direct optimization for fast, energy-efficient training.


SynRoute

An AI-driven synthesis planning tool that streamlines the complexity of
chemical synthesis. Generate and collaborate on synthesis designs &
routes in an integrated, chemist UX. Amplify human expertise and convert
concept into executable chemistry plans in less than 60 seconds. Highest
published route success rate (86%) on medicinal chemistry compounds.


SynBuild

  • Reproducible digital processes validated for 1000s of reactions
  • Transferable processes that work across scales (μg to 10g)
  • High-throughout parallel synthesis of 10s to 100s of compounds
  • Rapid access to results with reporting through platform UI

Revolutionizes the synthetic chemistry process with a collection of tools that address the critical challenges of reproducibility, scalability and efficiency. SynBuild digitizes laboratory chemistry across three hardware systems: SynJet screens and optimizes 30 reactions per hour at nmol scale; SynJetPro produces 100 compounds per day at mg scale through parallel synthesis; and AutoSyn produces gram scale compounds through multistep flow chemistry, rapidly producing key intermediates and scaled-up compounds.


SynDB

At the core of the Synfini platform, SynDB maintains aggregated, curated, validated &evolving chemistry data. The database has digital protocols for 60% of medicinal chemistry and is constantly growing from real-world drug discovery projects, resulting in a network effect of continuous improvement.