Machine learning and first principle models are two widely discussed approaches for process optimization nowadays. First principle models, which are also referred as dynamic models,…
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A blog about news, research, and events at Quartic.ai
The future of manufacturing
This is what the future looks like in 2030: “AI centric control systems run manufacturing plants by optimizing high-level objectives and following constraints and other…
Continue ReadingQuartic.ai Addresses Process Development Capacity Constraints with AI-Powered PD Optimization
New innovation delivers optimal product conditions in fewer runs, reducing raw materials costs, and shaving weeks off of Process Development campaigns SAN JOSE, CALIF. (DECEMBER 15,…
Continue ReadingBridging the gap between AI and industrial controls
Our paper titled SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments has recently been accepted by NeurIPS 2022, Datasets and Benchmarks Track. In this…
Continue ReadingManufacturing needs MVDA: An introduction to modern, scalable multivariate data analysis
By Manuel Tejeda Although there are speed efficiencies that can be achieved by successfully digitizing the enterprise, the competitive advantages will be gained by achieving…
Continue ReadingThe Current Challenges of Life Science Manufacturing Require the Adoption of Modern Solutions
By Michael Bartlett and Bryan Pope In the last 2 – 3 years, Life Science industry supply chain disruptions highlighted the need for high performance,…
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Quartic partners with ZS to accelerate manufacturing digitalization in life sciences
Quartic.ai announced a strategic partnership with the leading global professional services and analytics firm ZS Associates to accelerate manufacturing digitalization in life sciences and healthcare. …
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Introducing the Quartic.ai PAT Solution
Rapidly analyze PAT spectral data using ML models and an easy-to-use no-code UI. GxP-ready, in the Cloud, and a per-molecule pay-as-you-go pricing designed to help your start using this solution right away.
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Survey Reveals that 79 Percent of IT and Regulated Process Manufacturing Respondents Expect to Adopt a Validated Cloud Solution Within the Year
However, 63% of Respondents Said Validation Has Kept Them from Deploying Operational Analytics in the Cloud SAN JOSE, Calif. (March 9, 2022) – Quartic.ai, provider…
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The Myth of the Elusive Golden Batch?
The ‘Golden Batch’ is your ideal batch, the one that came out perfectly, the way you intended: the recipe is followed perfectly, the process stays…
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