Industrial partner
Expertise and data control
Contribute process expertise and demonstrations, define permitted uses, and approve access arrangements while retaining ownership of the raw data.
Data commercialization
Secure VLA training with real industrial expertise
Mimetik connects industrial data owners and robotics developers through infrastructure for preparing, accessing, and using human demonstrations to train vision-language-action models.
We bring together multimodal data preparation, controlled training access, and model evaluation under agreed ownership and usage conditions.
A shared training collaboration
Industry controls the data. Robotics defines the learning objective. Mimetik connects the two.
Each partner has a clear role in turning operational expertise into a useful training outcome.
Robotics developer
Models and learning objectives
Supply the target model or training requirements, define evaluation criteria, and receive the agreed training outputs.
Mimetik
Infrastructure and integration
Prepare the demonstrations, integrate the training workflow, configure the infrastructure and access controls, and coordinate evaluation.
Agree the rights for each collaboration
Raw-data ownership, training rights, and ownership of resulting models are agreed separately. The collaboration also defines access arrangements and which outputs may be released.
What Mimetik provides
The infrastructure between industrial work and robot learning
Mimetik brings together the data pipeline, training environment, and access controls needed to turn industrial demonstrations into a practical model-development collaboration.
- 1
Multimodal data preparation
Synchronize video, motion, and audio; structure demonstrations into actions and process context; prepare datasets against the target model’s requirements.
- 2
Controlled training access
Configure which datasets, organizations, and training workloads may participate, with traceable access and agreed usage permissions.
- 3
Protected training environments
Define and integrate an environment suited to the industrial partner’s confidentiality requirements, including on-premises or confidential-computing configurations.
- 4
VLA integration and evaluation
Adapt demonstrations to the selected training pipeline, support fine-tuning, and evaluate results against agreed tasks and baselines.
- 5
Controlled release of results
Define which model artifacts, evaluation results, or approved data products can leave the training environment, with review and an audit trail.
Deployment options
Bring training to the data
Mimetik helps define a deployment model that connects useful training access with control over sensitive operational data. We scope the configuration around your infrastructure, target model, and confidentiality requirements.
Within your environment
On-premises training
Run approved training and evaluation workloads within the industrial partner’s environment. Define which results may be exported.
Protected execution
Confidential computing
Process data inside a hardware-protected execution environment. Attestation helps verify the environment before access is granted.
Training across sites
Federated learning
Coordinate training across participating sites, with local training on local data and an agreed exchange of model updates.
Access across data sources
Federated data access
Provide policy-controlled access across separately managed data sources, without requiring a permanently centralized dataset.
These approaches can be combined. Data location, execution location, and permitted transfers are defined separately for the selected configuration.
A focused training pilot
One task. One model. One controlled training run.
Together, we define a representative industrial task, prepare a limited demonstration dataset, select the deployment approach, and evaluate a training or fine-tuning run.
The pilot is scoped to produce an agreed data specification, a working training workflow, evaluation results, and a proposal for expanding the collaboration.
What we define together
- The industrial task, target model, and learning objective.
- The required video, motion, audio, and output structure.
- The training environment, access controls, and permitted transfers.
- The baseline, evaluation criteria, and technical owners.
- The data ownership, training rights, and release of results.
Discuss a training pilot
Connect your industrial expertise with a concrete learning objective
Bring a process you know well or a robotics task you need to teach. We’ll help define the data, infrastructure, and evaluation plan for a focused pilot.