Fully automated • No-code • AI drug discovery

Predict, profile, and design better molecules — without coding.

PreditX® is Pharmaeconomica’s fully automated no-code platform for early drug discovery. It helps research teams predict promising compounds, review developability earlier, and generate new molecule ideas — so they can focus faster on candidates worth advancing.

No-code

No internal ML team required

Fully automated

From target to shortlist

Decision-ready

Outputs for scientific review

AI-powered discovery engine

Automated discovery decision support

From target selection to ranked, reviewable molecule candidates.

Platform

A commercial AI platform for early drug discovery decisions.

PreditX® helps research teams go from target selection to decision-ready candidate outputs without coding, manual model building, or disconnected workflows. It is designed to support faster prioritization, better candidate selection, and more efficient use of discovery resources.

What it helps you do

  • Shortlist better compounds before lab validation
  • Reduce time spent on manual triage
  • Expand beyond existing compound libraries
  • Generate outputs for internal and external review
Start from a biological target
Target biology

Start from a biological target

Connect computational discovery with target-focused research questions.

Molecule space

Explore chemical possibilities

Move from broad molecule space to reviewable candidate options.

Decision support

Advance

Stronger early profile

Review

Needs closer assessment

Deprioritize

Lower follow-up priority

Advance better candidates

Review, prioritize, and deprioritize compounds before committing experimental resources.

Modules

Three modules. One integrated discovery workflow.

PreditX® combines prediction, profiling, and generation in one platform so teams can move from many chemical possibilities to a focused and reviewable candidate shortlist.

Predictive Screening

Rank compounds without building models yourself

Automatically prioritize molecules for a selected target, helping teams focus on the candidates most likely to matter.

Reduce the number of compounds sent to costly experiments
Screen large compound libraries with less manual effort
Generate structured shortlists for scientific review
Move faster from target idea to hit prioritization

ADMET & Developability

Advance stronger candidates earlier

Go beyond activity alone by identifying molecules that look more suitable for follow-up and flagging those that deserve caution.

Support earlier go / no-go decisions
Separate promising candidates from weaker options
Reduce time spent manually reviewing lists
Export decision-ready outputs for team discussions

Generative AI

Design new molecule ideas when libraries are not enough

Explore new chemical options around your target and create fresh candidate ideas for further ranking, filtering, and review.

Expand beyond existing compound collections
Support hit expansion and early lead exploration
Increase diversity in candidate generation
Create reviewable new molecule options
Outcomes

What PreditX® helps you achieve

Faster shortlisting

Move from large compound spaces to focused candidate lists.

Lower experimental burden

Prioritize before wet-lab testing and reduce unnecessary follow-up.

Better discovery focus

Support more consistent candidate selection and project review.

More useful candidate outputs

Generate structured results that scientists and partners can discuss.

Ready to explore your target with PreditX®?

Request a demo to see how PreditX® can help your team predict, profile, and design better molecule candidates with a fully automated no-code workflow.

Ideal for

Biotech startups

Academic research groups

Pharma innovation teams

Research institutions