Citrine’s software platform uses data aggregation and machine learning to help the world's largest companies turn their manufacturing into more reliable products.
Primary Application Area: Manufacturing, Instrumentation
Technology Development Status: Prototype
FIGURES OF MERIT
Value Proposition: Advanced physical products are defined by the materials the comprise them. And understanding how those materials will perform over the course of their lives is very important. While statistical process control has become the norm in most manufacturing environments, and industrial internet of things (IIOT) is emerging as a useful set of tools in the management of machines, the quality assurance world has not fully benefitted from the revolution that data science has enabled. Citrine uses a purpose built data structure for materials and chemicals and optimized machine learning algorithms to connect long term performance to in-line metrology and historical accelerated life and other destructive testing to predict materials lifetimes. This enables manufacturers to have more confidence in the performance of every part they produce.
Organization Type: Mid-stage Startup (A or B)
Showcase Booth #: 46M / 46T
GOVT/EXTERNAL FUNDING SOURCES
Vetted Programs/Awards: StartX
SBIR/STTR Awards: $150,000, NSF, July 2014
$1,150,000, DOE, Jan 2016
External Funding to Date: $1.05 million seed stage venture capital