Seed Stage · Actively Partnering

4D Spatial Intelligence
for Drug Discovery

VoxelTox fuses World Models with LLMs to predict molecular binding dynamics in full 4D — replacing months of simulation with seconds of deterministic inference.

4D

Spatial-Temporal

10⁴×

Faster than MD

$70B

Market (2030)

The Opportunity

Current drug discovery AI cannot model what actually happens inside the body.

Industry Status Quo

Static & Probabilistic

  • Molecular Dynamics

    Days to weeks of compute for microsecond-scale simulation. Cannot scale to virtual screening.

  • AlphaFold & Variants

    Single static conformation. Blind to binding dynamics, induced fit, and temporal conformational shifts.

  • Data Silos

    1D sequences, 2D microscopy, 3D structures handled by separate tools — losing cross-dimensional signal.

VoxelTox Approach

Dynamic & Deterministic

  • 4D Occupancy Forecasting

    Predicts how molecular binding evolves over time — learned from data, not brute-forced from equations.

  • World Model + LLM Fusion

    LLM reasons about chemistry; World Model simulates physics. Bidirectional correction eliminates false positives.

  • Native Multi-Modal (1D/2D/3D/4D)

    Cross-attention fusion of sequences, Cryo-EM, voxels, and dynamics — like sensor fusion in autonomous driving.

Architecture

Multi-dimensional sensor fusion, applied to molecular space.

Analogous to how autonomous vehicles fuse LiDAR, cameras, and radar — VoxelTox fuses four dimensions of biological data into a unified spatial understanding.

Input Modalities

1D — Sequences & Literature

LLM Semantic Encoding

2D — Cryo-EM Microscopy

Vision Transformer

3D — Protein Structures

Spatial Voxelization

4D — Temporal Dynamics

World Model Forecasting

Core Engine

Shared Latent Space

Cross-attention alignment across all four dimensions

Output

Validated Lead Compound

Pre-validated against 4D spatial-temporal constraints

Business Model

Platform to Pipeline

A phased approach from technology validation to value capture across the drug discovery stack.

Current Focus

Phase 1 · Year 1–2

Compute SaaS Platform

High-precision 4D virtual screening as a service for pharma R&D teams. Validate the technology with paying customers.

Next

Phase 2 · Year 2–4

Joint Pipeline Development

Co-develop lead compounds with wet-lab partners. Shared IP and milestone-based revenue from co-development agreements.

Scale

Phase 3 · Year 4+

Platform Licensing

License VoxelTox as the industry-standard spatial prediction engine across global pharma R&D organizations.

Fundraising

Seeking Strategic Partners

Seed round of $3M–$5M targeting compute infrastructure, cloud ecosystem access, and strategic capital from partners aligned with our mission.

Compute Infrastructure

GPU clusters for training and high-throughput inference at scale.

Pharma Collaborations

Joint development with drug discovery organizations for pipeline validation.

Wet Lab Partners

Experimental validation to close the loop between prediction and confirmation.