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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Real user data aggregated to summarize the product performance and customer experience.
92 Likeliness to Recommend
86 Plan to Renew
100 Satisfaction of Cost Relative to Value
Emotional Footprint Overview
+97 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?
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Emotional Footprint
How to Read
Positive
Neutral
Negative
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Feature Ratings
Explainability
Pre-Packaged AI/ML Services
Performance and Scalability
Model Monitoring and Management
Feature Engineering
Data Ingestion
Algorithm Recommendation
Data Exploration and Visualization
Openness and Flexibility
Data Pre-Processing
Ensembling
Vendor Capability Ratings
Business Value Created
Ease of Implementation
Breadth of Features
Product Strategy and Rate of Improvement
Vendor Support
Availability and Quality of Training
Ease of Customization
Ease of IT Administration
Usability and Intuitiveness
Ease of Data Integration
Quality of Features
deepsense.ai Reviews
Vaibhav B.
- Role: Industry Specific Role
- Industry: Biotechnology
- Involvement: IT Development, Integration, and Administration
Submitted Oct 2023
easy to use. features are complicated.
Likeliness to Recommend
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
Sashank M.
- Role: Information Technology
- Industry: Technology
- Involvement: Business Leader or Manager
Submitted Jun 2023
Easy to use and good product for AI
Likeliness to Recommend
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