Research Pipeline

From hypothesis to hit selection

Our focused approach to transforming drug discovery through AI-driven insights and strategic therapeutic targeting.

Our Discovery Engine

An end-to-end integrated workflow that compresses timeline and risk.

01

Target Triage

AI-powered target identification and validation using multi-omics data integration.

02

Virtual Screening

Large-scale computational screening of drug candidates with high-throughput precision.

03

Toxicity Triage

AI-powered safety assessment and risk prediction across multiple organ systems.

04

Selectivity Analysis

Multi-target binding analysis to ensure specificity and minimize off-target effects.

05

Wet Lab Loop

Experimental validation and feedback integration for continuous model improvement.

06

Candidate Review

Final candidate selection and advancement for clinical development.

Diseases We're Tackling First

Oncology

Targeting aggressive cancer types with high unmet medical need

Click to view disease targets

Neurodegeneration

Addressing progressive neurodegenerative disorders

Click to view disease targets
Coming Soon: Metabolic Disorders & Rare Diseases

Where We're Going

Q4 2025

MVP Platform Launch

Predictive engine goes live with IC50 and toxicity prediction capabilities

Web-based SaaS platform deployment
API access for enterprise clients
Initial validation on 100K compounds
Beta testing with academic partners
Q2 2026

Generative AI Molecules

First AI-designed compounds synthesized for in vitro testing

Molecular diffusion model deployment
Multi-objective optimization scoring
Chemical synthesis partnerships
In vitro efficacy validation
2027

Academic & Industry Partnerships

Co-validation projects and collaborative research initiatives

University research collaborations
Pharma co-development agreements
Grant funding applications
Peer-reviewed publication pipeline