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AIGEN ChemTailor

Molecular origami, folded by AI
that doesn’t sleep

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Passes Through Our

AIGEN Neural Network

Our neural network fuses advanced language models with deep structural analysis,
rapidly identifying viable drug candidates from enormous chemical spaces.

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We currently employ three screening
models to discover drugs.

This is Where the Magic Happens

Three cutting-edge models drive our chemistry predictions: Synthon Screening splits molecules into
buildable units, Diffusion Model precisely simulates molecular transformations, and Transformer Model
captures nuanced molecular context.

  • Synthon Screening
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    Breaks molecules into buildable units
    to explore synthetic space.

  • Diffusion Model
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    Predicts molecular transformations
    at atomic precision.

  • Transformer Model
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    Captures molecular context with
    deep attention mechanisms.

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We don't guess. We generate, mutate, and filter.

Millions of Virtual Compounds,
Scored in Seconds

ChemTailor virtually screens and scores millions of compounds instantly,
filtering to select only highly potent, synthesizable molecules for testing.

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Until Only the Best Remain
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With AI Precision, Just 30 Syntheses
Sufficient to
Identify a Lead Compound

Our platform dramatically reduces experimental workload,
pinpointing potent leads rapidly and cost-effectively - 30 syntheses, not 300.

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AIGEN’s AI?
It beat the competitor by 12x
- in a fraction of the time

AIGEN AI-Designed Compounds vs
Clinical Competitor
(H358 G12C Cell Line)

  • Clinical
    Competitor

    248
  • AIG #12

    20.7
  • AIG #14

    34.8
  • AIG #22

    58.7
  • AIG #24

    51.7
  • 0

    50

    100

    150

    200

    250

3D Cell Viability (IC50,nM)

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4 of Our Best Compounds
from the 30 AI Designed

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AIGEN’s AI Platform is deployable on-premise or
available for co-discovery collaborations

Want to use our AI?

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