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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Our mission is to ensure that data science and machine learning truly transform organizations. As an AI product studio, we consist of a talented team of 100 seasoned data scientists and engineers, who bring a wealth of experience from both dynamic digital startups and large multinational firms. Our focus extends beyond creating appealing presentations and dashboards; we prioritize delivering automated data solutions that are seamlessly integrated into real-world processes. We emphasize the value of our skilled data scientists and engineers, rather than merely counting clicks. Our commitment lies in the effective deployment of data science solutions in the cloud, adhering to rigorous standards of continuous integration and automation. We strive to cultivate the brightest and most innovative data professionals by providing an inspiring and rewarding work environment in Central Europe. By empowering our team to leverage our collective expertise, we continuously seek and refine the most promising data-driven opportunities for both our clients and our own innovative products, ensuring we remain at the forefront of the industry. This approach not only enhances our clients’ capabilities but also fosters a culture of creativity and collaboration within our studio.

Description

SplineCloud serves as a collaborative knowledge management platform aimed at enhancing the identification, formalization, and sharing of structured and reusable knowledge within the realms of science and engineering. This innovative platform allows users to systematically arrange their data into organized repositories, ensuring that it is easily discoverable and accessible. Among its features are tools like an online plot digitizer, which helps in extracting data from graphical representations, and an interactive curve fitting tool, enabling users to establish functional relationships within datasets through the application of smooth spline functions. Additionally, users have the capability to incorporate datasets and relationships into their models and calculations by directly accessing them via the SplineCloud API or employing open source client libraries compatible with Python and MATLAB. By supporting the creation of reusable engineering and analytical applications, the platform aims to minimize design process redundancies, safeguard expert knowledge, and enhance decision-making efficiency. Ultimately, SplineCloud stands as a vital resource for researchers and engineers seeking to optimize their workflows and improve knowledge sharing in their fields.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
Databricks Yes 
Microsoft 365 Yes 
Microsoft Azure Yes 

Integrations

Amazon Web Services (AWS) No 
Databricks No 
Microsoft 365 No 
Microsoft Azure No 

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 Yes 
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 No 
Live Training (Online) No 
In Person Yes 

Types of Training

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

Vendor Details

Company Name

DataSentics

Country

Czech Republic

Website

datasentics.com

Vendor Details

Company Name

SplineCloud

Founded

2021

Country

Ukraine

Website

splinecloud.com

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

eCommerce Personalization

A/B Testing No 
Abandoned Cart Email No 
Dynamic Pricing No 
Offers & Discounts Notifications No 
Personalized Site Navigation No 
Product Recommendations No 
Reporting / Analytics No 
Social Insights No 

Personalization

A/B Testing No 
Abandoned Cart Saver No 
Account Based Marketing No 
Behavioral Targeting No 
Campaign Segmentation No 
Content Analytics No 
Contextual Targeting No 
Customer Profiles No 
Experience Management No 
Recommendation Engine No 
Website Personalization No 

Retail Execution

AI / Image Recognition No 
Collaboration Tools No 
Data Collection No 
Inspection No 
Pricing / Placement Optimization No 
Product Education No 
Product Promotion Strategy No 
Retail Site Audit No 
Workforce Management No 

Product Features

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