What Makes our Technology “Weightless”?
Under the Hood
As the name implies, MicroAI’s core engine (AtomML) is extremely small and lightweight.
There is no smaller AI engine available on the market today. Our technology differentiators include:
Rapid Customization and Deployment
A common barrier for companies looking to utilize AI to optimize operational performance is…. time. Deployment of existing technologies can take months, during which time there can be multiple disruptions to daily operations. Those disruptions cost money and can negatively impact bottom lines for extended periods of time.
MicroAI’s endpoint (AtomML) and edge (AtomML+) technologies were designed to reduce the time required to customize AI-enabled products to meet specific customer needs and then to deploy those products into the customer’s machines, factory, factories, networks, etc.
Rapid Evaluation of AI Model Impact
By utilizing MicroAI’s AIStudio platform, users can dynamically evaluate the capabilities of MicroAI’s AI technologies on their asset data. Various AI models can be quickly tested to determine a model that will deliver maximum value to a particular use case.
AIStudio simplifies and expedites the process of evaluating how MicroAI’s technologies can bring value to asset performance optimization use cases. AI model evaluation that is…
Faster
Complete assessment in hours instead of days/weeks
Simpler
Easier to use, requiring no extraneous expertise
More flexible
In-built flexibility to accommodate specific assessment requirements
More dynamic
Real-time model assessment vs time-lag limitations
Less costly
Ability to evaluate AI models in a virtual environment significantly reduces cost
Less Risky
Ability to thoroughly evaluate before making an investment
Deployment Model
Deployment Time
Frictionless Integration
MicroAI’s plug-and-play technology can be quickly integrated with existing customer applications and platforms. An ecosystem of intelligence is created without having to scuttle expensive assets and/or to procure new supporting solutions. Depending on the scope of integration, this can save the enterprise 10’s to 100’s of thousands of dollars.
- Ultra-low requirements for storage, memory, and CPU power
- Seamless integration into existing low spec hardware
- Ability to leverage existing devices and machines without additional hardware investment
Reduced Drain on Customer Resources
Many initial AI deployments fail due to lack of internal AI expertise required to manage deployment and integration processes that are too dense and complex. MicroAI has developed technologies that provide self-contained development tools and processes that significantly reduce the resource burden on the client. Operations are not faced with the dilemma of having to divert existing resources or adding new resources to support the AI integration effort.
Faster Time-to-Benefits
- Optimized machine/factory performance
- AI-enabled predictive maintenance
- Transition to digital manufacturing
- Improved network quality of service (NQoS)
- Higher OEE scores
- Reduced cost and higher margins
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