|
|
|
OUR BUSINESS MODEL
ABOUT — SPECTRAL ANALYTIX
STRIVING TO BE A WORLD LEADER IN INTEGRATION OF HYPERSPECTRAL, MACHINE LEARNING, AND ROBOTICS
The saying – an image is worth a thousand words – is gaining ever deeper meaning, as hyperspectral camera technologies, customized lighting, robotics, and machine learning are integrated and used to produce frontier solutions in the 21st Century. Spectral Analytix Inc. was founded in 2019 as a company that develops and commercializes classification and sorting solutions based on integration of hyperspectral imaging, robotics, and machine learning. Spectral Analytix Inc. focuses on classification and sorting of objects - "optical solutions" - such as, seeds, insects, food products, pharmaceutical products. Optical solutions are customized to specific client needs can be offered as service (objects sent to Spectral Analytix for analyses) or as installation of a system (purchase of hardware and software and training of personnel).
OUR BUSINESS MODEL
Spectral Analytix Inc. strives to create clients for life relationships with costumers and offers two complementary business models: 1) service, and 2) system installment and personnel training. Both models are accompanied by comprehensive client support. The 5-step process is described below.
1. Discuss sorting solution needs
We work diligently with our clients to identify priorities and to ensure that optical solutions meet expectations. Minimum classification accuracy, throughput demand, number of object categories to be classified, variability within and between object categories - these are just some of the aspects that greatly influence how to customize an optical solution to a specific need.
3. Comprehensive analysis
If results from the feasibility study meet expectations, then a more comprehensive analysis is performed, and thorough validation procedures are included.
2. Initial feasibility study
Representative samples of object categories are used to develop an initial "classification algorithm" - the machine learning algorithm used to classify objects. Proprietary performance diagnostics are used to thoroughly examine both accuracy and robustness of the classification algorithm.
4. Commercial agreement
5. Satisfaction Guaranteed!
Throughout the entire process and also after a commercial agreement has been made, we work with our clients to ensure satisfaction and to maximize the benefits of our collaboration
If results from the comprehensive analysis meet expectations, then a commercial plan is developed. Spectral Analytix Inc. offers two separate business models: 1) service, and 2) system installation. We recommend that a first commercial agreement is based on service (clients shipping samples to be analyzed). At later stage, the commercial agreement can be modified and focus on training of clients' personnel and installment of a complete system.