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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Create continuously improving predictive models effortlessly, without the need for intricate engineering processes. Seamlessly integrate with your current cloud data warehouse, utilizing all available data in its existing location. Effortlessly share features and deploy advanced machine learning models using just SQL or dbt, or expand functionality with Python if needed. Keep predictions organized within your data warehouse for straightforward access by your business intelligence and operational systems. Manage features and predictions directly in your data warehouse, eliminating the need for additional infrastructure. Construct cutting-edge models that capitalize on all your data without the necessity of writing code or establishing pipelines. Foster collaboration between analytics and AI teams through the comprehensive extensibility of Continual's declarative AI framework. Oversee features, models, and policies using a declarative GitOps workflow as your operations expand. Enhance the speed of model development with a collaborative feature store and a data-centric approach, while also ensuring cross-team communication remains seamless. This innovative approach allows for a more integrated and efficient workflow, ultimately driving better insights and outcomes.

Description

XPS, short for eXtended Particle Simulations, represents an advanced Discrete Element Method simulation tool crafted by RCPE and made available worldwide by InSilicoTrials, specifically tailored for high-precision particle-based process simulations. This software is particularly focused on the pharmaceutical sector, enabling accurate forecasting of powder and granular material behavior, which aids teams in gaining insights, enhancing predictions, and managing pharmaceutical unit operations more effectively. Utilizing sophisticated contact models, XPS characterizes the flow dynamics of granular materials and employs highly parallel algorithms that are fine-tuned for contemporary GPUs, thereby expediting simulations involving as many as 100 million particles. By providing unparalleled detail in process configuration assessments, XPS empowers pharmaceutical engineers to navigate decision-making spaces virtually, significantly curtail the need for expensive and lengthy physical experiments, and bolster data-driven approaches to process development. As a result, this innovative software not only streamlines operations but also fosters a deeper understanding of material behaviors within pharmaceutical manufacturing environments.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift
Databricks
Google Cloud BigQuery
Snowflake

Integrations

Amazon Redshift
Databricks
Google Cloud BigQuery
Snowflake

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Continual

Founded

2019

Country

United States

Website

continual.ai/

Vendor Details

Company Name

InSilicoTrials

Founded

2016

Country

United States

Website

insilicotrials.com/xps/

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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Alternatives

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