Turn engineering data into lasting value.

Miura transforms scattered simulation and engineering data into a sovereign foundation for reusable knowledge, machine learning and engineering AI.

Turn engineering data into lasting value.

Miura transforms scattered simulation and engineering data into a sovereign foundation for reusable knowledge, machine learning and engineering AI.

1.

Connect

Unify simulation, compute and experimental sources.

2.

Qualify

Structure raw outputs into trusted, traceable datasets.

3.

Build

Serve knowledge to models, agents and applications.

In collaboration with industry leaders

Our conviction

Your engineering data is a strategic asset. Build on it.

Miura is a French DeepTech company working at the intersection of simulation, data and AI. Its mission is to make engineering knowledge last: connected to its context, reusable across programs and controlled by the organizations that create it.

Own your data.
Own the knowledge it creates.
Own what comes next.

Preserve engineering knowledge

Connect simulations, experiments and compute environments while retaining the metadata, context and lineage that give each result meaning.

Connect existing sources in place

Keep knowledge discoverable

Capture solver and workflow context

Preserve engineering knowledge

Connect simulations, experiments and compute environments while retaining the metadata, context and lineage that give each result meaning.

Connect existing sources in place

Keep knowledge discoverable

Capture solver and workflow context

Preserve engineering knowledge

Connect simulations, experiments and compute environments while retaining the metadata, context and lineage that give each result meaning.

Connect existing sources in place

Keep knowledge discoverable

Capture solver and workflow context

Turn knowledge into new capabilities

Make qualified engineering datasets available to AI models, intelligent agents and domain applications—from training through inference.

Train open AI/ML frameworks

Deploy engineering applications

Integrate models into workflows

Turn knowledge into new capabilities

Make qualified engineering datasets available to AI models, intelligent agents and domain applications—from training through inference.

Train open AI/ML frameworks

Deploy engineering applications

Integrate models into workflows

Turn knowledge into new capabilities

Make qualified engineering datasets available to AI models, intelligent agents and domain applications—from training through inference.

Train open AI/ML frameworks

Deploy engineering applications

Integrate models into workflows

Build a reusable capital

Turn raw engineering output into structured, qualified datasets that can be found, governed and reused across programs.

Automate repeatable data pipelines

Trace every transformation

Qualify and version datasets

Build a reusable capital

Turn raw engineering output into structured, qualified datasets that can be found, governed and reused across programs.

Automate repeatable data pipelines

Trace every transformation

Qualify and version datasets

Build a reusable capital

Turn raw engineering output into structured, qualified datasets that can be found, governed and reused across programs.

Automate repeatable data pipelines

Trace every transformation

Qualify and version datasets

PART 02
NEXUS

The data backbone for engineering.

Every simulation, test and engineering workflow creates valuable data and knowledge. Structured over time, this becomes a durable capital that can be reused across projects, teams and applications.

01 / OWNERSHIP

Connect engineering sources

Connect simulation, HPC, test and existing data stores without creating another silo.

02 / PIPELINES

Organize and qualify

Transform raw results into governed, traceable and reusable engineering datasets.

RAW

RAW

>

PROCESS

PROCESS

>

QUALIFY

QUALIFY

>

DATASET

DATASET

>

AI / ML

AI/ML

03 / GOVERNANCE

Serve data to applications

Expose trusted data through APIs and SDKs for analytics, ML, AI agents and custom engineering applications.

04 / DEPLOYMENT

Deploy on your terms

Run Nexus on-premises, in the cloud or across a hybrid environment. Keep control of data, models and intellectual property.

From data to value

Build on your engineering data. Go further.

A structured engineering data capital creates value far beyond a single project: reuse results, accelerate analysis, automate workflows and build AI on a trusted foundation.

01

Connect engineering sources

Turn validated simulation data into fast predictive models for broader design exploration.

01

Connect engineering sources

Turn validated simulation data into fast predictive models for broader design exploration.

02

Simulation data management

Centralize, structure and retrieve high-value datasets across projects and software environments.

02

Simulation data management

Centralize, structure and retrieve high-value datasets across projects and software environments.

03

AI model training

Create reliable, traceable datasets for engineering-specific machine learning models.

03

AI model training

Create reliable, traceable datasets for engineering-specific machine learning models.

04

Design exploration

Connect computation, datasets and models to iterate across more design possibilities.

04

Design exploration

Connect computation, datasets and models to iterate across more design possibilities.

05

Engineering AI agents

Give specialized AI agents access to your engineering knowledge, data and validated results.

05

Engineering AI agents

Give specialized AI agents access to your engineering knowledge, data and validated results.

Lasting value

Build once. Reuse, learn and improve over time.

01

Reuse

Carry qualified data, pipelines and context into the next engineering program.

02

Learn

Turn every simulation and experiment into accessible organizational knowledge.

03

Automate

Replace fragile manual preparation with governed, observable workflows.

04

Build

Create models and applications on a foundation designed to endure.

Sovereignty by design

Your knowledge should outlast your tools

Software environments evolve. The engineering knowledge accumulated in your data should remain reusable, interoperable and under your control.

Software environments evolve. The engineering knowledge accumulated in your data should remain reusable, interoperable and under your control.

Closed approach

Dependent

×

Data trapped inside individual applications

×

Proprietary and heterogeneous formats

×

Manual dataset preparation

×

Limited visibility and traceability

×

AI projects built in isolation

×

Dependence on individual vendors

The Miura approach

Sovereign

✓

Unified access to engineering data

✓

Interoperable, reusable data pipelines

✓

Qualified, AI-ready datasets

✓

End-to-end lineage and observability

✓

AI connected to existing workflows

✓

Open integration with the ML ecosystem

PART 03
MIURA ONE

Miura One

From engineering challenge to production-ready AI.

Miura One combines simulation, data engineering and machine learning expertise to build models and applications tailored to your engineering workflows. From data preparation and model development to integration and deployment.

Miura One combines simulation, data engineering and machine learning expertise to build models and applications tailored to your engineering workflows. From data preparation and model development to integration and deployment.

Develop surrogate models, field predictors and engineering-specific ML models from your own data.

Custom AI models
Workflow integration

Integrate models into existing engineering workflows through APIs, SDKs, CLIs or dedicated applications.

Industrial deployment

Deploy on-premises, in the cloud or in hybrid environments according to your infrastructure and security constraints.

Your model, your know-how

Keep ownership of the data, models and engineering knowledge created through the project.

Develop surrogate models, field predictors and engineering-specific ML models from your own data.

Custom AI models
Workflow integration

Integrate models into existing engineering workflows through APIs, SDKs, CLIs or dedicated applications.

Industrial deployment

Deploy on-premises, in the cloud or in hybrid environments according to your infrastructure and security constraints.

Your model, your know-how

Keep ownership of the data, models and engineering knowledge created through the project.

Develop surrogate models, field predictors and engineering-specific ML models from your own data.

Custom AI models
Workflow integration

Integrate models into existing engineering workflows through APIs, SDKs, CLIs or dedicated applications.

Industrial deployment

Deploy on-premises, in the cloud or in hybrid environments according to your infrastructure and security constraints.

Your model, your know-how

Keep ownership of the data, models and engineering knowledge created through the project.

Nexus Pioneers

Help build the future of engineering AI.

Work directly with Miura’s engineering team on real simulation-data workflows and help shape Nexus ahead of its broader release.

✓

Early access to demos and prototypes

✓

Exclusive co-design workshops

✓

Dedicated workflow audit sessions

✓

Direct access to the engineering team

French DeepTech company helping industrial engineering teams build and valorise a sovereign engineering data capital.

Why Miura

Simulation. Data. AI.

Miura brings together computational engineering, data engineering and machine learning. We help industrial teams turn accumulated engineering knowledge — simulations, workflows, models and data — into a durable and sovereign technological asset.

Open by design

Connect to the tools and AI frameworks you choose.

Sovereign by default

Keep control of data, models and deployment.

Built around engineers

Complement validated workflows instead of replacing them.

Questions

Three subjects, clearly answered.

Understand the role of Miura as a company, Nexus as the engineering data platform, and Miura One as the AI post-processing offer.

Miura

What does Miura do?

Miura is a French DeepTech company working at the intersection of simulation, engineering data and AI. Its objective is to turn engineering knowledge into a durable, reusable and sovereign asset.

Nexus

What is Miura Nexus?

Nexus is the engineering data management platform. It connects existing sources, organizes and qualifies data, preserves lineage and serves trusted datasets to applications.

Nexus

Does Nexus replace our existing engineering tools?

No. Nexus adds a sovereign data layer on top of the solvers, compute environments, test systems, databases and workflows your teams already trust.

Miura One

What is Miura One?

Miura One is the AI post-processing offer. It uses simulation outputs and qualified engineering data to develop custom AI models, integrate them into workflows and prepare them for industrial deployment.

Together

How do Nexus and Miura One work together?

Nexus creates the connected, governed data foundation. Miura One builds on that foundation to transform engineering data into production-ready AI capabilities.

Sovereignty

Who owns the data and AI models?

You do. Across Nexus and Miura One, your engineering data, qualified datasets, models and know-how remain under your control, without hidden lock-in.

What does Miura do?

What is Miura Nexus?

Does Nexus replace our existing engineering tools?

What is Miura One?

How do Nexus and Miura One work together?

Who owns the data and AI models?

Your engineering data already has value. Build on it.

Structure your engineering data capital, keep it sovereign and turn it into new engineering and AI capabilities.

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