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features
design
support

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Description

AQChemSim is an innovative cloud-based platform created by SandboxAQ that utilizes Large Quantitative Models (LQMs) based on principles of physics and chemistry to transform the landscape of materials discovery and enhancement. By incorporating techniques such as Density Functional Theory (DFT), Iterative Full Configuration Interaction (iFCI), Generative AI, Bayesian Optimization, and Chemical Foundation Models, AQChemSim facilitates precise simulations of molecular and material dynamics in real-world scenarios. The platform's features allow it to forecast performance under diverse stress conditions, expedite formulation via in silico testing, and investigate eco-friendly chemical processes. Remarkably, AQChemSim has achieved notable progress in battery technology, cutting the prediction time for lithium-ion battery end-of-life by 95%, while also attaining 35 times greater accuracy with a mere fraction of the data previously required. This advancement not only streamlines research but also paves the way for more efficient and sustainable energy solutions in the future.

Description

sMMMart AI represents a cutting-edge tool for optimizing marketing strategies, hosted on the Google Cloud Platform, which utilizes continuous Bayesian modeling to produce outcomes as frequently as every week. This innovative system automates the process of data ingestion through exclusive connectors and employs the lightweight_mmm library for comprehensive multi-level marketing mix modeling, while presenting insights through Looker Studio. In contrast to conventional modeling techniques, sMMMart AI evaluates contributions throughout the entire marketing funnel across various campaigns and channels, including aspects like media expenditure, pricing strategies, promotional activities, and seasonal trends. By incorporating Bayesian methods, it enhances the accuracy of its predictions and enables scenario planning to visualize potential budget distributions and their projected effects. Furthermore, it adapts to changing data privacy laws by relying on aggregate econometric models instead of tracking individual users, thus providing marketing teams the ability to transcend last-click attribution. This approach reveals the synergies between different channels, assesses the impact of creative tactics at a granular level, and facilitates strategic enhancements across the broader marketing landscape, ultimately empowering teams to make more informed decisions.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
Google Cloud Platform No 

Integrations

Amazon Web Services (AWS) No 
Google Cloud Platform Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

SandboxAQ

Founded

2021

Country

United States

Website

www.sandboxaq.com/solutions/aqchemsim

Vendor Details

Company Name

Salestube

Founded

2016

Country

Poland

Website

salestube.tech/smmmart-ai

Product Features

Chemical

Certificates of Analysis No 
Chemical Process Simulation No 
Computer-Assisted Structure Elucidation (CASE) No 
ISO Management No 
Inventory Management No 
Particle Tracking No 
Reporting & Statistics No 
Samples Tracking No 
Traceability No 
Uncertainty Analysis No 

Product Features

Alternatives

Alternatives

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