Insight Engines
Insight engines, also known as enterprise knowledge discovery and management, are enterprise platforms that make key enterprise insights available to users on demand. +Show More
| Products | Position | Customer satisfaction | |||
|---|---|---|---|---|---|
Elastic Enterprise Search |
Leader
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Satisfactory
|
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Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
4k-5k employees
Company's social media followers
100k-1m followers
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IBM Watson Discovery |
Leader
|
Satisfactory
|
|
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Infuse dynamic news content into every app you build.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
100k-1m employees
Company's social media followers
10m-20m followers
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Google Cloud Search |
Leader
|
Satisfactory
|
|
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Google Cloud Search is a cloud search solution designed to seacrh through Gmail, Drive, Docs, Sheets, Slides, Calendar, and others.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
100k-1m employees
Company's social media followers
50m-60m followers
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Stravito |
Leader
|
Satisfactory
|
|
||
|
Ever find yourself wondering what your company already knows about a key topic or trend? Stravito is a purpose-built storage and sharing system for market research. With Stravito, you can centralise your insights and make them accessible to employees everywhere, with minimal time and effort. Stravito is a user-friendly application that puts you first. Natural language search understands what you mean, not just what you say, and machine learning automatically classifies information. Search through documents, dashboards, and 3rd party sources to find the information you need, in just seconds.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
5-10 case studies
Company's number of employees
100-200 employees
Company's social media followers
5k-10k followers
Total funding
$10-50m
# of funding rounds
3
Latest funding date
September 2, 2021
Last funding amount
$10-50m
Company
Type of company
private
Founding year
2017
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Lucidworks Fusion |
Challenger
|
Satisfactory
|
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Lucidworks provides the world’s largest organizations with the tools they need to connect users with data in meaningful and relevant ways. By making data work efficiently for your customers and employees, your organization can react faster and smarter with a solution that searches everything, provides the right information to the right people, and surfaces actionable, profitable insights extracted from your data. Fusion, Lucidworks’ flagship product, removes information silos by unifying data from varied sources to solve findability issues. The Fusion platform makes building reliable and tunable search applications that harness the power of Apache Solr and Spark accessible to both developers and broader business users. By applying machine learning from the moment of data ingest, a deeper understanding and context can be extracted from every data set. Fusion offers a flexible breadth of offerings to meet any search and machine learning need. Designed to scale to the largest document repositories and support the most active and demanding user populations, Fusion allows customers to dynamically manage application resources as utilization ebbs and flows, avoiding any unscheduled downtime and performance degradation. Pre-built solutions and out-of-the-box machine learning algorithms bring your organization to value rapidly. Fusion has everything you need to build and deploy powerful search applications at scale, including: Data Connectors Content Security Query & Index Pipelines Clustering Classification NLP Engine Application Studio SQL Engine Machine Learning Driven Relevance Query Rewriting Autocomplete Recommendations Experiments Data Science Toolkit
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
200-300 employees
Company's social media followers
20k-30k followers
Total funding
$100-250m
# of funding rounds
9
Latest funding date
August 12, 2019
Last funding amount
$100-250m
Company
Type of company
private
Founding year
2007
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Funnelback |
Challenger
|
Satisfactory
|
|
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Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
10-20 employees
Company's social media followers
1k-2k followers
Company
Type of company
private
Founding year
1998
|
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Micro Focus IDOL |
Challenger
|
Satisfactory
|
|
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The IDOL Server collects indexed data from connectors and stores it in its proprietary structure, optimized for fast processing and retrieval of data.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
5k-10k employees
Company's social media followers
40k-50k followers
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Azure Cognitive Search |
Challenger
|
Low
|
|
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Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
100k-1m employees
Company's social media followers
30m-40m followers
Company
Type of company
private
Founding year
2011
|
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Coveo |
Niche Player
|
Low
|
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The Coveo Relevance Cloud uses applied AI to deliver relevant experiences in all digital interactions, from search to recommendations and personalization. Coveo allows you to meet business outcomes while maximizing profits. Our AI powers relevant interactions for hundreds of the world’s most innovative brands and is supported by a large network of global system integrators and implementation partners. Coveo provides AI powered solutions for enterprise ecommerce, such as personalization, product recommendations and insights, along with social proof and product badging; plus cart abandonment recovery and more. Coveo also offers AI solutions for service, website, and workplace applications that maximize business outcomes and profitability. Our solutions are designed to provide tangible value to our customers by helping drive revenue growth, reduce customer support costs, increase customer satisfaction, website engagement, and improve employee proficiency through knowledge management at scale.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
40-50 case studies
Company's number of employees
400-1k employees
Company's social media followers
40k-50k followers
Total funding
$250-500m
# of funding rounds
6
Latest funding date
November 6, 2019
Last funding amount
$100-250m
Company
Type of company
public
Founding year
2005
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Sinequa |
Niche Player
|
N/A
|
|
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Sinequa provides a Cognitive Search & Analytics platform for Fortune Global 2000 companies and government agencies. Using advanced Natural Language Processing (NLP) and Machine Learning algorithms, the solution offers insights extracted from structured and unstructured data. Broad connectivity to on-premise, cloud and Hadoop data sources facilitates and accelerates enterprise-wide projects.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
10-20 case studies
Company's number of employees
100-200 employees
Company's social media followers
10k-20k followers
Total funding
$10-50m
# of funding rounds
2
Latest funding date
July 9, 2019
Last funding amount
$10-50m
Company
Type of company
private
Founding year
2002
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“-”: AIMultiple team has not yet verified that vendor provides the specified feature. AIMultiple team focuses on feature verification for top 10 vendors.
Sources
AIMultiple uses these data sources for ranking solutions and awarding badges in insight engines:
Insight Engines Leaders
According to the weighted combination of 4 metrics
What are insight engines
customer satisfaction leaders?
Taking into account the latest metrics outlined below, these are the current insight engines customer satisfaction leaders:
Which insight engines solution provides the most customer satisfaction?
AIMultiple uses product and service reviews from multiple review platforms in determining customer satisfaction.
While deciding a product's level of customer satisfaction, AIMultiple takes into account its number of reviews, how reviewers rate it and the recency of reviews.
- Number of reviews is important because it is easier to get a small number of high ratings than a high number of them.
- Recency is important as products are always evolving.
- Reviews older than 5 years are not taken into consideration
- older than 12 months have reduced impact in average ratings in line with their date of publishing.
What are insight engines
market leaders?
Taking into account the latest metrics outlined below, these are the current insight engines market leaders:
Which one has collected the most reviews?
AIMultiple uses multiple datapoints in identifying market leaders:
- Product line revenue (when available)
- Number of reviews
- Number of case studies
- Number and experience of employees
- Social media presence and engagement
What are the most mature insight engines?
Which one has the most employees?
Which insight engines companies have the most employees?
278 employees work for a typical company in this solution category which is 255 more than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 14 companies with >10 employees are offering insight engines. Top 3 products are developed by companies with a total of 800k employees. The largest company in this domain is IBM with more than 300,000 employees. IBM provides the insight engines solution: IBM Watson Discovery
Insights
What are the most common words describing insight engines?
This data is collected from customer reviews for all insight engines companies. The most positive word describing insight engines is “Easy to use” that is used in 9% of the reviews. The most negative one is “Difficult” with which is used in 4% of all the insight engines reviews.
What is the average customer size?
According to customer reviews, most common company size for insight engines customers is 1-50 Employees. Customers with 1-50 Employees make up 50% of insight engines customers. For an average AI Solutions solution, customers with 1-50 Employees make up 49% of total customers.
Customer Evaluation
These scores are the average scores collected from customer reviews for all insight engines. Insight Engines are most positively evaluated in terms of "Value For Money" but falls behind in "Likelihood to Recommend".
Where are insight engines vendors' HQs located?
Trends
What is the level of interest in insight engines?
This category was searched on average for 258 times per month on search engines in 2024. This number has decreased to 0 in 2025. If we compare with other ai solutions solutions, a typical solution was searched 13.1k times in 2024 and this decreased to 0 in 2025.