deepsense.ai Customer Reviews 2024

deepsense.ai

Composite Score

8.0 /10

CX Score

8.5 /10

10 Reviews Write a Review

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What is deepsense.ai?

deepsense.ai is a data science company, which helps organizations gain competitive advantage by providing them with AI-based end-to-end solutions, with the main focus on computer vision, predictive analytics and natural language processing. The company also delivers machine learning and deep learning training programs to support enterprises in building AI capabilities in-house.

Company Details

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deepsense.ai Ratings

Real user data aggregated to summarize the product performance and customer experience.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

85 Likeliness to Recommend

90 Plan to Renew

95 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+99 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love deepsense.ai?

0% Negative

0% Neutral

100% Positive

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Feature Ratings

Average 84

Data Pre-Processing

Model Tuning

Explainability

Performance and Scalability

Data Exploration and Visualization

Algorithm Recommendation

Model Monitoring and Management

Data Labeling

Pre-Packaged AI/ML Services

Openness and Flexibility

Feature Engineering

Vendor Capability Ratings

Average 80

Usability and Intuitiveness

Ease of Implementation

Business Value Created

Ease of IT Administration

Breadth of Features

Product Strategy and Rate of Improvement

Ease of Customization

Ease of Data Integration

Vendor Support

Availability and Quality of Training

Quality of Features

deepsense.ai Reviews

Niharika M.

Role: Information Technology
Industry: Engineering
Involvement: IT Leader or Manager

Validated Review

Verified Reviewer

Submitted Mar 2024

Fantastic service for deployment of model

Likeliness to Recommend

10 /10

What differentiates deepsense.ai from other similar products?

easy to learn and skill up deep learning terms

What is your favorite aspect of this product?

the deployment part of any models and tools that they provided

What do you dislike most about this product?

nothing to dislike but little bit pricing but its okay, i'll prefer it

What recommendations would you give to someone considering this product?

i'll suggest to all my colleagues to use this tech

Pros

Performance Enhancing
Enables Productivity
Trustworthy
Unique Features

Role: Information Technology
Industry: Engineering
Involvement: IT Leader or Manager

Validated Review

Anonymous Reviewer

Submitted Mar 2024

Fantastic support

Likeliness to Recommend

8 /10

Pros

Continually Improving Product
Performance Enhancing
Unique Features
Effective Service

Vaibhav B.

Role: Industry Specific Role
Industry: Biotechnology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Oct 2023

easy to use. features are complicated.

Likeliness to Recommend

10 /10

What differentiates deepsense.ai from other similar products?

It is present in many different domains.

What is your favorite aspect of this product?

very easy to use! it is very well distributed!

What do you dislike most about this product?

UI/UX can be better!

What recommendations would you give to someone considering this product?

take a trial before buying the product. The product might not be a good fit for your use case.

Pros

Generous Negotitation
Helps Innovate
Enables Productivity
Unique Features

deepsense.ai

What is deepsense.ai?

Company Details

Need Assistance?

deepsense.ai Ratings

85 Likeliness to Recommend

90 Plan to Renew

95 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+99 Net Emotional Footprint

How much do users love deepsense.ai?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Pre-Processing Ability to wrangle or pre-process data to ready it for model training.

Model Tuning 'Ability to fine-tune models based on monitoring feedback within the platform.

Explainability Ability to explain/ visualize the model.

Performance and Scalability Systems performance (time) and scalability end-to-end: from data load and processing to model creation and deployment.

Data Exploration and Visualization Ability to visually manipulate, interact with, and explore data, and perform basic descriptive statistics and pattern detection.

Algorithm Recommendation Ability to recommend a best ML algorithm to use based on dataset characteristics.

Model Monitoring and Management Ability to monitor model use and performance in production, incl. identifying models for refresh and/or replacement.

Data Labeling Ability to annotate/ label data to create a training data set.

Pre-Packaged AI/ML Services Pre-trained models and associated resources, e.g., for forecasting, recommendations, image and video analysis, NLP, voice, etc.

Openness and Flexibility Integration with open-source and 3P resources (languages, frameworks, libraries, etc.)

Feature Engineering Ability to extract and build features from raw data.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

deepsense.ai Reviews

Niharika M.

Fantastic service for deployment of model

Likeliness to Recommend

Pros

Fantastic support

Likeliness to Recommend

Pros

Vaibhav B.

easy to use. features are complicated.

Likeliness to Recommend

Pros

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Feature Ratings

Data Pre-Processing

Model Tuning

Explainability

Performance and Scalability

Data Exploration and Visualization

Algorithm Recommendation

Model Monitoring and Management

Data Labeling

Pre-Packaged AI/ML Services

Openness and Flexibility

Feature Engineering

Vendor Capability Ratings

Usability and Intuitiveness

Ease of Implementation

Business Value Created

Ease of IT Administration

Breadth of Features

Product Strategy and Rate of Improvement

Ease of Customization

Ease of Data Integration

Vendor Support

Availability and Quality of Training

Quality of Features