The Integrated AI Platform for End to End Preclinical Discovery

From target to preclinical insights on one modular, scalable system.

Platform Overview

DiscoveraAI is an integrated discovery environment that learns and generates high accuracy data across the pipeline. It unifies structural, relational and literature signals, and exposes each capability as a module you can use standalone or end to end.

High accuracy with low time to decision

using a hybrid of GNN, LLM and vector embeddings

so teams can adopt Docking, Target Prediction or Protein Structure modules independently

for emerging markets while scaling to enterprise workloads

Modular SaaS

Affordable and accessible

Why DiscoveraAI

Core Modules

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DockAI:

AI enhanced molecular docking with dynamic protein flexibility, AI scoring and support for low resolution or predicted structures. Predicts orthosteric and allosteric binding sites.

DrugSim AI:

Multi source ligand and protein similarity to rapidly shortlist candidates for screening or repurposing.

DTPred AI:

Drug–target interaction prediction to discover or confirm biological targets with lower false positives.

ProteinPred:

Structure prediction via AlphaFold 2 and OmegaFold for accurate 3D models that unlock better docking.

Standard Workflow

Target intelligence
Prioritise targets using DTPred AI and literature signals that highlight mechanism plausibility.
Structure readiness
Generate high-confidence protein structures with ProteinPred, where experimental data is incomplete.
Virtual screening
Use DrugSim AI for coarse selection, then DockAI for pose quality, affinity ranking, and site specificity.
Downstream analytics
ADMET indicators, pathway enrichment, and transparent evidence reports are ready for review and export.