Zeta Atlas
The Hypergraph Brain maps simulations, parameters, outcomes, and institutional knowledge into a navigable intelligence layer.
AI workspace with institutional memory for engineering teams
Scientific intelligence for complex engineering
Zeta Nexus connects simulations, experiments, standards, and engineering workflows into a unified reasoning layer for scientific decision-making.
Grounded simulations
Citation-ready explanations
Codes & specs in workflow
Secure deployment
Zeta Analysis
Agentic workflows turn simulation evidence into traceable recommendations and decision-ready outputs your team can review.
Nuclear Engineering
Aerospace
Defense
Energy
National Labs
Industrial R&D
The Problem
Critical decisions still depend on fragmented scientific memory.
Engineering teams operate across simulation files, reports, standards, experimental data, emails, and expert judgment. The knowledge exists, but it is rarely connected at the moment a decision needs to be made.
Siloed simulations block reuse.
Runs, assumptions, and outcomes remain trapped in isolated folders and tool exports.
Standards drift from analysis.
Compliance expectations and engineering work are tracked in separate places.
Institutional memory degrades.
Critical decisions depend on who remembers context, not on durable records.
AI outputs lose traceability.
Recommendations often cannot be quickly traced back to source evidence.
Handoffs stall technical continuity.
Phase changes, vendor swaps, and toolchain migrations push teams to recreate context that already lives in prior simulations, reports, and decisions.
Decision Input
Current State
Risk
Simulation files
Stored per program and rarely linked to later decisions.
Reuse gap
Standards & codes
Referenced manually and disconnected from model assumptions.
Compliance drift
Experimental evidence
Findings live in reports with weak links back to simulations.
Context loss
Expert rationale
Knowledge sits in emails, meetings, and changing team memory.
Knowledge decay
AI recommendations
Outputs are fast, but source evidence is often incomplete.
Traceability risk
Platform Overview
A scientific intelligence layer for operational engineering teams.
Zeta Nexus transforms disconnected scientific systems into a unified workspace where teams can discover prior work, reason across domains, preserve knowledge, and produce traceable outputs.
Simulation Intelligence
Index simulation metadata, parameter spaces, outcomes, and provenance across tools and teams.
Knowledge Graphs
Connect standards, reports, expert notes, and experimental evidence into a reusable scientific memory.
Engineering Reasoning
Use AI systems that reason across evidence, constraints, and domain context with explainable outputs.
Auditability
Trace every insight back to source simulations, standards, data, and engineering rationale.
Workflow Orchestration
Move from ingestion to analysis, review, reporting, and operational handoff in one workspace.
Parameter Exploration
Find nearby simulations, divergent runs, blind spots, and high-value regions of design space.
Scientific Copilots
Ask questions in natural language while maintaining references to authoritative engineering sources.
Knowledge Retention
Preserve decisions, assumptions, methods, and lessons learned across long-running programs.
Two Core Systems
The product ecosystem for scientific operations.
Zeta Nexus is anchored by two connected components: Atlas for scientific knowledge topology and Analysis for agentic simulation and engineering analysis.
Zeta Atlas - The Hypergraph Brain
Navigate your organization's scientific memory.
Zeta Atlas maps simulations, artifacts, physics domains, outcomes, standards, and expert rationale into an interactive hypergraph for discovery and traceable reasoning.
Find similar simulations, divergent runs, and reusable evidence.
Understand relationships between parameters, regimes, outcomes, and source artifacts.
Give teams one shared map of scientific work across programs and domains.
Zeta Analysis - Agentic System
Turn simulation evidence into engineering decisions.
Zeta Analysis is an agentic engineering system that helps teams run lightweight simulation workflows, reason over constraints, and generate traceable compliance-ready outputs.
Run lightweight agentic simulation analyses across thermal, CFD, FEA, electromagnetic, and multiphysics workflows.
Check assumptions and standards to generate compliance and review-ready reports with source traceability.
Compare scenarios, surface risks, and produce decision-ready recommendations for engineering teams.
How It Works
From scattered evidence to operational intelligence.
Zeta Nexus fits into native scientific workflows while creating a persistent reasoning layer that can be reused across teams, programs, and review cycles.
Ingest
Connect simulation files, standards, reports, experimental data, requirements, and institutional notes.
Connect
Build a traceable scientific graph across entities, assumptions, parameters, decisions, and outcomes.
Reason
Use AI agents to compare evidence, explore scenarios, identify gaps, and explain recommendations.
Operationalize
Generate reports, audit trails, engineering handoffs, and reusable intelligence for future programs.
Use Cases
Focused on three high-consequence engineering verticals.
Zeta Nexus is built for teams working in nuclear, defense, and aerospace environments where simulation context, institutional memory, and validation history must survive across programs.
Primary Vertical
Nuclear Engineering
Preserve reactor safety intelligence across simulations, operating procedures, incident analysis, and regulatory evidence.
- Trace reactor simulations to assumptions, safety rationale, and source artifacts.
- Explore thermal-hydraulic, neutron transport, and structural integrity parameter spaces.
- Validate findings against NRC, IAEA, and internal nuclear safety standards.
- Produce audit-ready reports for regulated review cycles.
Primary Vertical
Defense Engineering
Centralize mission analysis, secure simulation outputs, operational expertise, and technical review workflows.
- Run controlled engineering simulations and operational scenario analyses.
- Link technical reviews to standards, assumptions, and mission constraints.
- Preserve classified-domain expertise in governed, access-controlled workflows.
- Deliver audit-ready assurance for controlled environments.
Primary Vertical
Aerospace Engineering
Connect certification history, simulation provenance, flight-test learnings, and design rationale across programs.
- Orchestrate CFD, structural, thermal, and multiphysics workflows.
- Carry forward flight-test evidence and anomaly learnings into new programs.
- Align validation evidence with certification and design review processes.
- Maintain persistent aerospace knowledge across program lifecycles.
Resources
Insights and articles from the engineering desk.
Notes on AI-native workflows, simulation, and hardware design—aligned with the same topics we discuss with teams building in regulated environments.
Building multi-physics simulations with LLMs
LLMs don’t solve Navier-Stokes. But they’re remarkably good at figuring out which solver should, and how to set it up.
Read article →Automating FEA: From weeks to hours
The solver is the fastest part of any FEA workflow. Everything around it—geometry cleanup, meshing, BC setup, reporting—is the actual bottleneck.
Read article →Why AI-native workflows are the future of hardware design
We’ve spent 18 months talking to engineering teams. The same frustration keeps coming up: the tools got faster, but the process didn’t.
Read article →Security & Deployment
Designed for regulated and mission-critical environments.
Zeta Nexus is built for organizations that need trustworthy AI, explainability, controlled infrastructure, and deployment options aligned to sensitive engineering operations.
Air-gapped readiness
Deployment patterns for restricted networks and sensitive scientific environments.
On-premise support
Run close to internal simulation data, standards, and engineering repositories.
Explainable outputs
Every generated insight can reference the evidence and rationale behind it.
Audit trails
Maintain reviewable records across sources, analyses, recommendations, and decisions.