Machine Learning & AI Models
Creation and Distribution for
Autonomous Applications
LIDAR & Camera Navigation
Pedestrian, Rider or Driver Safety
Collision Avoidance
Accurate Positioning
Manufacturing Quality Control
Defect Identification & Classification
Yield & Process Improvement
Batch Size 1 Production
Why Work With Us?
Create
containerized AI models
Developed with flexible deployment and easy integration in mind, our solutions are hardware agnostic as much as possible. With hundreds of examples, we run our software on your hardware and system, with major savings.
Distribute
models for unique roles
Users are unique, so should be their experiences. Success profiles are also different from one to the other. We make the experiences understandable, easy to deploy and more efficient
Scale
proportional to your needs
Save time and money, use one of our off the shelf, pre-trained models to save resources
Create a proof of concept to see the end to end operation of your system
Future proof your process by using ASSET-Rx EDGE for scalable deployment
Our Solution - How We Do It
POC
Identify the core challenge, find the solution and prove it
Prototype
Integrate into the system, cover
the details and the exceptions.
Path to product
Deploy
Optimize and orchestrate for
deployment, spread instances
across boundaries
Use Cases
Our cross-functional Engineering Team works with our Clients to understand their application and develop a solution that is reliable and sustainable.
Our cross-functional Engineering Team works with our Clients to understand their application and develop a solution that is reliable and sustainable.
Located in Silicon Valley, our dedicated Team provides white glove support to our valued Customers.
Deployment Components - What We Do
Data Management
Extraction: Deploy off-the-shelf hardware. Collect data with full coverage.
Annotation: Annotated in batches for initial training or enhancement of the models.
Generation: Obtain annotated data from controlled replica systems. Save time and resources. Cover rare exceptions, achieve higher confidence levels and quicker results
Ingestion: Use the data that is being generated after deployment to further enhance models
Modeling
Existing Models: Work with us to select from one of our pre-trained models
Do It Your Way: If you already have a model identified, let’s train it. If you have it trained, let’s put it to work and enhance it
Ground Up: If your case calls for architecting a system that is ground up due to constraints such as computing resources, training time or method, we will work with you to create the models. An example is tiny models that run on low power microcontrollers.
Model Management
Data Recording: Collects and records data on complete deployments, no piece of information left behind
Collaborative Training: Record only those sets that would add value for further training
Orchestrated Models: Trained models that meet and exceed quality standards deployed massively across devices, projects, and sites
Our Services
DATA
COLLECTION
- Data extraction from PLCs, databases
- Automated robotic data collection
- Data categorization & organization
DATA
ANNOTATION
- Bounding Box
- Lines & Splines
- Semantic
- Segmentation
- Custom test beds for synthetic data
MODEL
CREATION
- Model Architecture
- Model Training
- Model Testing
ORCHESTRATED
DEPLOYMENT
- Mass Deployment of
- Models
- Unique configuration management
MODEL
OPTIMIZATION
- Monitoring deployed inference services
- Continuous monitoring of changes in trends
- Dynamic model accuracy optimization
OUR AREAS OF EXPERTISE
APPLICATIONS
- Obstacle Detection & Collision
Avoidance - Quality Control / Defect
Detection - Object Classification
- Autonomous Navigation
- Industrial Lidar
- Event / Anomaly Detection
and Capture - Safety Cell Supervision
- Optical Inspection
- Inventory Counting
MARKETS
- Manufacturing
- Industrial Automation
- Defense
- Medical
- Pharmaceutical
- Logistics
- Transportation
- Infrastructure / Smart Cities
- Automotive
- Oil & Gas
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