denovoX

AI-native in silico drug design

Move from hypothesis to prioritized decisions faster with lower early-stage cost.

denovoX pairs two high-level pipelines: target to molecules and molecule to targets, helping teams de-risk discovery through computational prioritization before wet-lab investment.

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Platform access is now routed through private-preview user accounts.

Conceptual flow overview

Pipeline 1 Target Output Molecules Pipeline 2 Molecule Output Targets ML prioritization layer (high-level)

Pipelines

Two complementary workflows for modern drug design teams

Pipeline 1: target → molecules

  1. Start with a disease-relevant target.
  2. denovoX explores chemical space through an ensemble of ML approaches.
  3. Receive prioritized molecule candidates for follow-up work.
Open Pipeline 1

Pipeline 2: molecule → targets

  1. Start with a molecule of interest.
  2. denovoX predicts likely human targets and off-target signals.
  3. Get ranked outputs to support risk-aware decisions.
Open Pipeline 2

Benefits

Built for speed, resource efficiency, and higher-confidence prioritization

Lower early-stage cost pressure

Reduce broad experimental search space by prioritizing candidates before intensive wet-lab allocation.

Faster iteration cycles

Move from hypotheses to ranked options quickly, supporting tighter decision loops across discovery teams.

Off-target and adverse-effect awareness

Use predicted target and off-target patterns to spot potential risk signals earlier in exploratory stages.

Who we serve

Designed for teams with different scales but similar discovery pressure

Pharma and biotech

Support portfolio triage and early-stage prioritization with computationally ranked candidate insights.

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Startups

Focus limited resources on the most promising hypotheses and reduce exploratory dead ends.

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Academic labs

Accelerate translational exploration with a practical in silico layer for candidate and target assessment.

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Trust and validation

Current MVP validation

MVP currently tested by 3 labs at Nazarbayev University.

Built on high-performance infrastructure with deployment flexibility across major cloud providers.

Account access

Private-preview workspace

  • Email and password account creation is available now.
  • Account pages expose placeholder access to connected tool surfaces from the VPS workspace.
  • Security headers, session cookies, and protected routes gate access to the private area.

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Open account onboarding

Next step

Create an account to access the denovoX private-preview workspace.

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Workspace preview

Account access now replaces the old sales-intake flow

After sign-in, users land on an account workspace with placeholder entries for the connected VPS tool environment while the integration surface is finalized.

What the account already does

  • Creates a private session with email and password.
  • Protects the account dashboard behind authenticated routes.
  • Provides a stable entry point for the future tool workspace.

What appears inside the account

  • AlphaFold 3 placeholder
  • GROMACS MD and OpenMM MD placeholders
  • Docking, jobs, and benchmark placeholders sourced from the connected workspace