deepsense.ai Customer Reviews 2025 | Machine Learning Platforms

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deepsense.ai

Composite Score

8.1 /10

CX Score

8.6 /10

13 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.
Download the entire Product Scorecard to access more information on deepsense.ai.

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.

87 Likeliness to Recommend

94 Plan to Renew

1
Since last award

94 Satisfaction of Cost Relative to Value

1
Since last award

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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 85

Data Pre-Processing

Explainability

Model Tuning

Pre-Packaged AI/ML Services

Performance and Scalability

Model Monitoring and Management

Data Exploration and Visualization

Algorithm Recommendation

Feature Engineering

Data Labeling

Openness and Flexibility

Vendor Capability Ratings

Average 82

Usability and Intuitiveness

Ease of IT Administration

Ease of Implementation

Business Value Created

Vendor Support

Ease of Data Integration

Availability and Quality of Training

Breadth of Features

Quality of Features

Product Strategy and Rate of Improvement

Ease of Customization

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

Sashank M.

Role: Information Technology
Industry: Technology
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Jun 2023

Easy to use and good product for AI

Likeliness to Recommend

9 /10

What differentiates deepsense.ai from other similar products?

Deep Expertise: DeepSense.ai focuses on deep learning and artificial intelligence, leveraging cutting-edge research and expertise in these domains. Industry-Specific Solutions: DeepSense.ai tailors its solutions to specific industries, such as healthcare, finance, manufacturing, and energy. Customization and Collaboration: DeepSense.ai emphasizes collaboration with its clients. They work closely with organizations to understand their specific business objectives and challenges.

What is your favorite aspect of this product?

Cutting-Edge Research: DeepSense.ai is actively involved in research and development. The company collaborates with leading academic institutions and stays at the forefront of advancements in deep learning and AI. Full-Stack AI Solutions: DeepSense.ai offers end-to-end AI solutions, covering the entire pipeline from data collection and preprocessing to model development and deployment. By providing a comprehensive suite of AI capabilities, the company aims to streamline the adoption of AI technology for their clients.

What do you dislike most about this product?

Scalability: Depending on the specific product or service offered by DeepSense.ai, scalability could be a consideration. Integration Challenges: Integrating AI solutions into existing workflows or systems can sometimes be complex. Interpretability and Explainability: Deep learning models often exhibit a "black box" nature, where the internal workings and decision-making process are not easily interpretable or explainable. Data Privacy and Security: AI solutions often rely on large amounts of data to train and improve models.

What recommendations would you give to someone considering this product?

Clearly Define Your Objectives: Before considering any AI product, clearly define your objectives and the specific challenges you aim to address. Research and Understand the Product: Take the time to thoroughly research and understand the specific product or service you are considering from DeepSense.ai. Evaluate Compatibility and Integration: Assess how well DeepSense.ai's product can integrate into your existing infrastructure or workflows. Request a Proof of Concept or Pilot: If possible, request a proof of concept (POC) or pilot project to test DeepSense.ai's product in your specific environment.

Pros

Continually Improving Product
Reliable
Performance Enhancing
Unique Features

deepsense.ai

What is deepsense.ai?

Company Details

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Awards & Recognition

deepsense.ai Ratings

87 Likeliness to Recommend

94 Plan to Renew

1 Since last award

94 Satisfaction of Cost Relative to Value

1 Since last award

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.

Explainability Ability to explain/ visualize the model.

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

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

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

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

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.

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

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

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

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

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.

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.

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

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.

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.

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.

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.

deepsense.ai Reviews

Niharika M.

Fantastic service for deployment of model

Likeliness to Recommend

Pros

Fantastic support

Likeliness to Recommend

Pros

Sashank M.

Easy to use and good product for AI

Likeliness to Recommend

Pros

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Feature Ratings

Data Pre-Processing

Explainability

Model Tuning

Pre-Packaged AI/ML Services

Performance and Scalability

Model Monitoring and Management

Data Exploration and Visualization

Algorithm Recommendation

Feature Engineering

Data Labeling

Openness and Flexibility

Vendor Capability Ratings

Usability and Intuitiveness

Ease of IT Administration

Ease of Implementation

Business Value Created

Vendor Support

Ease of Data Integration

Availability and Quality of Training

Breadth of Features

Quality of Features

Product Strategy and Rate of Improvement

Ease of Customization