Overview
Geminus builds a generative engineering platform that integrates data, physics, and computation to enable autonomous control and real-time intelligence for complex cyber-physical industrial systems. The company emphasizes engineering foundational models and physics-informed AI to accelerate design, optimize operations, and scale across industries such as oil & gas, semiconductors, and utilities. Geminus combines academic research and industrial partnerships to deploy digital twins, AI-augmented computational physics, and scalable decisioning for enterprise-scale problems. (Source: geminus.ai home, industries, who-we-are, case-studies)
Key Features
Generative Engineering Platform
Combines generative AI with computational physics to produce design and control solutions for industrial systems.
Physics‑Informed AI / Foundational Models
Uses physics-informed foundational models tailored to engineering tasks for improved accuracy and robustness.
Digital Twins & Simulation
Builds and leverages digital twins for large-scale simulation, optimization, and what-if analysis.
Real‑Time Autonomous Control
Enables decisions and control at operational time scales for complex cyber-physical systems.
Industry Solutions
Pre-built approaches and domain expertise for oil & gas, semiconductors, and utilities to drive operational outcomes.
Scalable Enterprise Deployment
Designed to scale across large industrial networks and integrate with enterprise data sources.
Who Can Use This Tool?
- Engineers:Use physics-informed AI and digital twins to optimize designs and control systems in production.
- Product Teams:Leverage generative engineering to accelerate feature development and reduce time-to-market for industrial products.
- Executives:Drive operational efficiency and sustainability initiatives using AI-driven decisioning and real-time insights.
- Energy Companies:Optimize production, reduce emissions, and improve throughput with AI-augmented computational physics.
- Semiconductor Firms:Accelerate chip design and manufacturing yield improvements with AI-enabled simulation and optimization.
Pricing Plans
Pricing information is not available yet.
Pros & Cons
✓ Pros
- ✓Focused on physics-informed and generative AI for engineering use-cases.
- ✓Targets large-scale industrial problems with digital-twin and real-time control capabilities.
- ✓Leadership and academic pedigree (founders and chief scientists) support credibility.
- ✓Industry-specific focus (oil & gas, semiconductors, utilities) with case studies and real-world deployments.
✗ Cons
- ✗No public pricing or plan details available on the website.
- ✗Limited platform/technical integration details publicly exposed (APIs, SDKs, deployment options not listed).
- ✗Launch year and some company metadata not clearly published on site.
Compare with Alternatives
| Feature | Geminus | Archetype AI — Newton | Together AI |
|---|---|---|---|
| Pricing | N/A | N/A | N/A |
| Rating | 8.0/10 | 8.4/10 | 8.4/10 |
| Physics Integration | Yes | No | No |
| Real-Time Control | Yes | Partial | No |
| Digital-Twin Fidelity | High fidelity digital twins | No digital twin focus | No digital twin focus |
| Sensor Fusion | Partial | Yes | No |
| Model Fine-tuning | No | No | Yes |
| Inference Scalability | Scalable enterprise deployment | Edge optimized inference | Scalable GPU inference and training |
| Edge Deployment | Partial | Yes | Partial |
| Governance & Audit | Partial | Partial | Partial |
Related Articles (3)
Explores Geminus's Generative Engineering and digital twins shaping the future of industrial AI across energy, manufacturing, and semiconductors.
Smaller, multi-model AI and edge hardware are reshaping progress, delivering practical, safe solutions beyond giant frontier models.
Geminus.AI highlights Euronews' The Exchange episode on AI's transformative impact and adoption challenges across industries.
