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INTELLIBOT vs Python RPA comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 4, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
8.3
INTELLIBOT offers significant cost savings and immediate financial benefits with competitive pricing and reduced personnel expenses, ensuring higher returns.
Sentiment score
8.2
Python RPA boosts efficiency, reduces errors, saves costs, and enhances productivity, enabling employees to focus on higher-value tasks.
 

Customer Service

Sentiment score
5.9
INTELLIBOT's India service is efficient, but some users face delays and require follow-ups for resolution.
Sentiment score
7.3
Python RPA is praised for responsive, knowledgeable customer support with high ratings for professionalism and effective guidance through issues.
The customer service is slow to respond.
Delivery Head at Emergys Mexico
 

Scalability Issues

Sentiment score
6.9
INTELLIBOT is scalable, adapting to larger teams, though some users rate its scalability lower than market alternatives.
Sentiment score
6.9
Python RPA efficiently scales projects, handles tasks, integrates smoothly, and meets diverse needs, but optimal scaling may require expertise.
 

Stability Issues

Sentiment score
7.7
INTELLIBOT is stable and reliable with occasional glitches resolved through frequent updates, receiving a robust 7-8 rating.
Sentiment score
8.3
Python RPA is praised for its stability, reliability, and robustness in handling complex workflows with minimal glitches or errors.
 

Room For Improvement

INTELLIBOT users recommend less reliance on scripts, improved documentation, and enhancements in Java interaction, OCR, and customer support.
Python RPA users face stability issues, complex setup, insufficient documentation, and slow performance with large datasets.
Customer support could also be improved, as they are slow to respond and appear to have policies that do not provide sufficient support for partners.
Delivery Head at Emergys Mexico
 

Setup Cost

Enterprise users find INTELLIBOT's pricing mixed, with costs ranging from $1,000 to $5,000, but value remains substantial.
Python RPA provides flexible and competitively priced plans, beneficial for both small projects and large enterprises, with excellent support.
 

Valuable Features

INTELLIBOT provides intuitive automation features, including coding-free AI tasks, document classification, role management, and Citrix integration for efficiency.
Python RPA is valued for its ease of use, flexibility, integration, quick deployment, customization, community support, cost-effectiveness, and scalability.
INTELLIBOT provides immediate cost savings on the headcount perspective, as a lot of operational tasks can be automated.
Delivery Head at Emergys Mexico
 

Categories and Ranking

INTELLIBOT
Ranking in Robotic Process Automation (RPA)
27th
Average Rating
7.0
Reviews Sentiment
6.9
Number of Reviews
8
Ranking in other categories
No ranking in other categories
Python RPA
Ranking in Robotic Process Automation (RPA)
15th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2026, in the Robotic Process Automation (RPA) category, the mindshare of INTELLIBOT is 0.9%, up from 0.4% compared to the previous year. The mindshare of Python RPA is 1.0%, down from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Robotic Process Automation (RPA) Mindshare Distribution
ProductMindshare (%)
Python RPA1.0%
INTELLIBOT0.9%
Other98.1%
Robotic Process Automation (RPA)
 

Featured Reviews

AK
Delivery Head at Emergys Mexico
Implementation successfully automates operations but support response requires improvement
There are other INTELLIBOT products available in the market that are superior and have been around for a long time. ServiceNow's product could improve by increasing its promotion. Customer support could also be improved, as they are slow to respond and appear to have policies that do not provide sufficient support for partners. They expect partners to be self-sufficient, which seems unusual for a product company.
Natalia  Raffo - PeerSpot reviewer
Co - Founder & Chief Data Officer -CDO at Data360
Robust and good for data processing while being helpful for building data science use cases
The processing of data is good. We can use many different types of data, including images and videos. We can use different libraries to do better preprocessing of different types of data. We can do different models in recommendation systems for things like videos and sales strategy. We can do language processing or sentiment analysis to predict things for our clients. We can design and develop machine learning applications that can predict events. We can use these on libraries to solve complex problems when we have a lot of data. It's possible to use the solution with other tools. It's very agile. In the financial advisory and portfolio management space, several budget management applications are now available in the market. These have machine learning based functionality. In Python, I use different machine learning algorithms to enable customers to keep track of their expenses and provide recommendations on better savings. These are machine learning algorithms that customize financial portfolios by looking at income rate tolerance and preferences, et cetera.
report
Use our free recommendation engine to learn which Robotic Process Automation (RPA) solutions are best for your needs.
894,738 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Manufacturing Company
14%
Construction Company
10%
Educational Organization
9%
Computer Software Company
7%
Financial Services Firm
14%
Manufacturing Company
12%
Construction Company
8%
Marketing Services Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise5
No data available
 

Questions from the Community

Which lesser known RPA vendor has the best chance at unseating today's market leaders?
Intellibot.io would be my suggestion. From DPA to RPA to cognitive model long to Chatbots to IOT they have come a long way since inception. Within the short time they have rose to the top contende...
What needs improvement with INTELLIBOT?
There are other INTELLIBOT products available in the market that are superior and have been around for a long time. ServiceNow ( /products/servicenow-reviews )'s product could improve by increasing...
What is your primary use case for INTELLIBOT?
I work as an implementation partner for ServiceNow ( /products/servicenow-reviews ), using INTELLIBOT ( /products/intellibot-reviews ) primarily for process automation.
What needs improvement with Python RPA?
I've worked with file detection for secure transactions. I use a machine learning model to predict events related to security transactions by predicting possible routes in advance. They need to imp...
What is your primary use case for Python RPA?
In our team, we construct different statistical models to resolve things for clients. We do modelling and segmentation to determine a customer's lifetime value. We do deep learning and protective a...
What advice do you have for others considering Python RPA?
We're just a customer. It's a good tool. It's easy. I can use it in many different ways and for many different use cases. I'd recommend the product for data science use cases. It is a robust tool a...
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
Home Credit, Silimed, Hilton, Al Hilal Bank, Baskin and Robbins
Find out what your peers are saying about INTELLIBOT vs. Python RPA and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.