AI productization
turning your AI research to a product
Goal: Convert a new, high quality and with great potential academic research to a product suitable to fit a market.
Problem: Implemented algorithms are suitable for scientific publishing, yet huge effort must be put in place to convert it to a suitable product to be delivered to consumers.
Technology Transfer Must Deal With
- Regulations
- Scalability
- Development
- Business Dev
The MLPod™ platform jumps into the rescue!
The MLPodTM platform in Brief
- Fast UI deployment
- Fast Model Deployment
- Cloud and on the Edge
- Automatic Orchestration
- Security by Design
- RestAPI
But MLPod™ is not only about tech…
An integrated methodology for AI Engineering based on scientific research, published on peer-reviewed conferences.
Thus, the researcher has:
- A guide on how to monetize your AI research (download),
- A holistic no-code tool to fast and cost-efficiently convert the research findings to a fully functional app (www.mlpod.io – in private beta, ping us for more info).
The ecosystem of Success
Our ultimate goal is to assist the technology transfer and make the AI research properly enter the market,
allowing researchers, developers, model providers to monetise their AI assets.
Holistic approach
Provide a 360 platform for turning high-impact AI research into a functional business case.
AI App Build
Provide a no-code platform that hides all the technical details allowing the fast, secure and scalable deployment of AI apps.
The ultimate platform to monetise
your AI assets
Why we are unique
Fast UI deployment
No code mechanism that can be extended to meet advanced needs
Fast Model Deployment
Add our python wrapper and with a few lines of code have your models ready to communicate with your users/consumers Webapp
No Code Heterogeneous Computational Environments Integration
Fast integration of heterogeneous computational environments for model execution, including both private/public clouds, on premises and edge execution.
Automatic Orchestration
No need to deal with orchestrating the communications between the infrastructure that executes your models and the users Webapp
Security by Design
The platform is designed and implemented with security in top priority. All the communications are encrypted, and every access is controlled. The platform handles this process automatically without the need to code any functionalities
Extendable
For advanced use, the platform supports an API mechanism to integrate with 3rd parties.
Interested to Learn More?
Drop us a line.