Nanonets
RepVue Score
0
Nanonets
Profile Highlights
Competitive Salaries
OTE at Nanonets for Mid Market Account Executives and SMB Account Executives is highly competitive compared to industry peers. View salaries
High Score for Inbound Lead / Opportunity Flow
Nanonets is in the 91st percentile for Inbound Lead / Opportunity Flow
Performance Category Ratings
See how employees rated Nanonets in RepVue’s key performance categories.
Category Score
Industry Percentile
Industry Rank
Culture and Leadership
2.9
36th%of Software orgs
# 1,647of 2,554 Software orgs
Base Compensation
3.7
55th%of Software orgs
# 1,130of 2,554 Software orgs
Incentive Compensation Structure
2.4
8th%of Software orgs
# 2,355of 2,554 Software orgs
Product - Market Fit
3.3
34th%of Software orgs
# 1,684of 2,554 Software orgs
Professional Development and Training
2.5
31st%of Software orgs
# 1,775of 2,554 Software orgs
Inbound Lead / Opportunity Flow
3.8
91st%of Software orgs
# 219of 2,554 Software orgs
Diversity and Inclusion
4.1
77th%of Software orgs
# 582of 2,554 Software orgs
About Nanonets
Nanonets facilitates self-service artificial intelligence by streamlining the adoption process. Construct machine learning models effortlessly, even with limited training data or...More
Salaries
Reviews
2.6
Jan 30, 2025
Useful
4.4
Sep 20, 2024
Useful
Employee Ratings
Total Employee Ratings
Total Ratings
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Ratings Verified by RepVue
Verified Ratings
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Frequently Asked Questions
Nanonets has an overall employee rating of 3.3 out of 5 and a RepVue score of 77.04. They are ranked #1483 out of all Software organizations.
Currently it is reported that 37.1% of the reps at Nanonets are hitting quota.
Nanonets has a rating of 2.9 out of 5 for culture and leadership. They are ranked #3500 in this category out of 5518 companies.
Nanonets has a rating of 3.3 out of 5 for Product - Market Fit and is ranked #1684 out of 2554 Software companies.
About Nanonets
Nanonets facilitates self-service artificial intelligence by streamlining the adoption process. Construct machine learning models effortlessly, even with limited training data or...More
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Company Size
65%
226
202320242025