Zenith

Our most powerful reasoning system for scientific discovery. Built to solve frontier computational problems and decipher governing laws of nature.

Scientific Discovery Engine

Accelerating research

and scientific discovery

Scientific Intelligence & Long-Horizon Reasoning

24+

Hours Continuous

2000+

LLM Calls / Mission

10K+

Papers Synthesized

Weeks → Hours

R&D Compression

HPC Orchestration

Elastic compute at your command

Spin up HPC clusters on demand. Zenith orchestrates scientific computing, model training, dataset curation, and CAE processes across distributed infrastructure.

zenith-hpc-manager

SLURM | PBS | K8s

ACTIVE CLUSTERS

Model Training

A100active128 nodes

CFD Simulation

H100active256 nodes

Dataset Curation

L40Squeued64 nodes

Inference Cluster

A100active512 nodes

$zenith hpc submit --type=cfd --nodes=256 --gpu=H100_

N+

GPU Clusters

On-demand

Scaling

Multi-cloud

Infrastructure

Foundation Models

Scientific intelligence across six domains

20+

Models

1000+

Tool APIs

100x

Faster

Computational Fluid Dynamics

Neural surrogates for turbulence modeling and flow simulation, enabling real-time CFD inference without solving full Navier-Stokes equations.

Applications

RANS/LES surrogate inference

Anisotropic sub-grid scale modeling

Boundary layer and wake prediction

HPC deployment on Aurora/Polaris supercomputers

Weather & Climate

Global atmospheric forecasting using transformer and neural operator architectures trained on ERA5 reanalysis and operational NWP data.

Applications

10-day deterministic forecasts at 0.25° resolution

Ensemble generation for uncertainty quantification

Extreme weather event prediction

Sub-seasonal to seasonal outlooks

Chemistry & Molecular

Molecular foundation models for property prediction, interatomic potentials, and reaction pathway analysis at quantum-level accuracy.

Applications

SMILES-based molecular encoding and generation

Materials Project and Open Materials checkpoints

Force field and binding affinity prediction

Conformational sampling and reaction pathways

Materials Science

Structure-to-property prediction using equivariant neural networks and materials-specific encoders for accelerated discovery.

Applications

Crystal structure property prediction

Phase stability and defect energetics

Alloy design and optimization

High-throughput screening workflows

Physics & PDE Surrogates

Neural operators for solving families of partial differential equations across varying geometries and boundary conditions.

Applications

Geometry-conditioned PDE solving

Multi-resolution inference for coupled physics

Heat transfer and electromagnetics

Structural mechanics across boundary conditions

Astrophysics

Foundation models for astronomical time-series analysis, spectroscopic classification, and multi-modal galaxy representation.

Applications

Light curve classification and transient detection

Photometric redshift estimation

Galaxy spectra and image embedding

Cross-modal retrieval and anomaly detection

Custom Computational Models

Integrate, develop, and deploy your own computational models within Zenith. Bring domain-specific architectures, fine-tune on proprietary data, or let Zenith generate synthetic datasets tailored to your research needs.

Applications

Model integration via standardized APIs

Synthetic dataset generation and curation

Fine-tuning on institutional or generated data

Custom inference pipelines with versioned deployment

Autonomous Research

Deep Scientific Reasoning

Autonomous agents that run experiments, optimize architectures, and iterate on hypotheses around the clock. From literature synthesis to paper generation.

Autonomous experiments

ML architecture optimization

Algorithmic discovery

Paper generation

End-to-end optimization

Uncertainty quantification

Hypothesis iteration

Cross-domain synthesis

Research Platform

Zenith · Deep Research

Deep Research0:00

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Spawning fleet...

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Research Pipeline

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01Literature Analysis

Query arXiv and journal databases

Extract relevant methodologies

Identify state-of-the-art approaches

Compile citation graph

02Problem Formulation

Define governing equations

Specify boundary conditions

Establish convergence criteria

Set up parameter space

03Numerical Implementation

Generate computational mesh

Implement discretization scheme

Configure solver parameters

Initialize solution fields

04Execution & Monitoring

Launch parallel computation

Monitor residual convergence

Checkpoint solution state

Validate intermediate results

05Analysis & Synthesis

Extract quantities of interest

Perform uncertainty quantification

Generate visualizations

Compile technical report

Knowledge Base5h 20m 45s

5/595%

0.0%

Knowledge Base

Tokens: 554,211

Sources: 48

Branches: 0

Subagents: 8

6 active

8 subagents