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Edgeverve AssistEdge Cloud RPA vs Jiffy.ai Automate comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Edgeverve AssistEdge Cloud RPA
Ranking in Robotic Process Automation (RPA)
44th
Average Rating
6.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Jiffy.ai Automate
Ranking in Robotic Process Automation (RPA)
25th
Average Rating
8.2
Number of Reviews
8
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Robotic Process Automation (RPA) category, the mindshare of Edgeverve AssistEdge Cloud RPA is 0.2%, up from 0.1% compared to the previous year. The mindshare of Jiffy.ai Automate is 0.4%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Robotic Process Automation (RPA)
 

Featured Reviews

reviewer1412862 - PeerSpot reviewer
Dec 29, 2020
Stable with good cross-integration between modules, but the training needs to be improved
We mainly use UiPath as our RPA platform. I have looked at several other solutions that include the bigger ones, Blue Prism, and Automation Anywhere. We have experience in developing bots in all three of these. It is difficult to move from UiPath to EdgeVerve when UiPath is so good at getting people in the door. They've got a great ecosystem and a great training model. Every other system is more challenging to use. To get an EdgeVerve license, for example, you need to have an NDA in place to use it. Blue Prism is even worse, although, with them, you just have to pay more money. By not democratizing the software and the way to utilize it, smaller companies like EdgeVerve and even Blue Prism, to a certain extent, have suffered in terms of growth. The three leaders at the top do a pretty good job. Outside of workflow, they do a pretty good job, and that's why the customers buy, so you have to be strong on those. As far as the tools are concerned, RPA is RPA, and everybody generally does it in the same way. What is probably going to start distinguishing between products is the use of AI. When AI really overtakes the selectors for RDA, robotic desktop automation, when you have to really rely on the backdrop of the DOM to get at the element, the use of AI and more efficient on-prem AI solutions is going to really make that a better experience. The on-premises distinction is important because there's latency when you hit the cloud. Ultimately, to me, the toolsets are all the same. Drag and drop, the ability to create custom activities in terms of creating your libraries, and that kind of thing, they're all there. This past year has been ridiculous in terms of how all of the tools have progressed. What they were a year ago versus what they are today, is a considerable and significant difference. For example, I have totally redesigned my solutions and architectures over the past year.
JG
Jan 14, 2021
Removes the burden of having to do some tasks manually
Initially, in version 3, Jiffy.ai did not have support for containerization. In our environment, we are heavy users of containers and container illustrators. So, the initial deployment option was running based on individual hosts that we deployed in the cloud. That created a singularity in the way that we deployed services in our system. However, in the latest version release (4), they have full support for containerization. This has been a great improvement and one of the driving factors for switching from version 3 to version 4 very soon. The containerization capability will make a huge difference in our deployment process, because it doesn't create exceptions in the way we would deploy services. All the rest of the system is containers, so if you now have a product from a vendor that doesn't support containerization that means you must have a different process of deploying services, then accompany it with corresponding policies, because we have policies on how systems need to be configured to be reliable, secure, etc. Also, there are the BCDR aspects of it: the disaster recovery and business continuity. So, if you're introducing a new way of deploying services, now you need to have a BCDR plan dedicated to that as well, as opposed to deploying everything using a single model of deployment (mainly containers). Therefore, this will simplify a lot of things, in terms of DevOps.

Quotes from Members

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

Pros

"I would say that the cross-integration between different modules, such as between the OCR, RPA, and ML, is the most valuable feature."
"It removes the burden of having to do some tasks manually. However, we are just using it in production for a single project. It saves us a lot of time in terms of extracting that information. So far, it has made a big impact."
"Its initial setup process was quite efficient."
"I found the invoice data extraction very exciting. It is really good."
"The biggest driver was the cost savings. We wanted to improve productivity and save costs. Therefore, we gave most of the mundane tasks currently being done by a human to a bot. Some of the mundane tasks were reading invoices and keying in the data. We are talking about 15,000 documents every day. That is a huge volume that needs a lot of people. With the bot, it is just a fraction of the cost, because there is a huge savings in terms of manpower."
"With the customization option, we can write custom expressions using its compatibility with Python or other programming languages."
"The most valuable feature is the computer vision or OCR. That has a lot of use cases in real life. A lot of man hours can be saved, as we've seen in the finance processes... The feedback I have gotten from the team is that the OCR is quite powerful."
"It is a one stop solution for automating process. The modular way that is assigned and works together follows a certain logic, and it encompasses a wide range of processes in a very structured and logical manner."
"The way Jiffy.ai integrates into existing infrastructure has been great for us. Our company is pretty stringent when it comes to cyber security and integrating with our apps... We've definitely had very strong scrutiny over this platform and this work, and even within that, it's been really successful at being able to integrate."
 

Cons

"Better training and better accessibility of the tools are the things that need to be improved."
"The solution's support services need improvement."
"They are still new in the market. Or, at least, they are still a small player. They require a lot of improvement in terms of learning material as well as the community developers. If you compare Jiffy.ai to an established solution, like UiPath, you can go to YouTube and find a lot of learning material posted by UiPath, partners, and other people in the community. However, for Jiffy.ai, you won't find that available in the market. Because of this it is very hard for us to find talent in the market. Most of the developers in the market are used to the bigger players. For Jiffy.ai, if you search a resume because you are trying to find someone who has used Jiffy.ai, you won't be able to find it. So, when we onboard a new person, we want them to learn this new system, but it is a bit hard for them to pick up because there are no external learning materials on the Internet."
"The UI or the UX has room for improvement. The approach for designing the workflow is not that straightforward. It's quite difficult."
"The solution has just not closed the gap of being accessible to non-IT users. If you are a non-IT person, then this all looks like gobbledygook. Maybe that is something that can be improved upon."
"Initially, in version 3, Jiffy.ai did not have support for containerization. In our environment, we are heavy users of containers and container illustrators. So, the initial deployment option was running based on individual hosts that we deployed in the cloud. That created a singularity in the way that we deployed services in our system."
"The setup process could definitely be better."
"I believe this is also being addressed, but a lot of the platform work, as we were putting in new versions or making some updates, was, ironically, very manual. It's improved greatly, but I would imagine that's an area that they're probably still working on, on the backend, to help when it comes to what we need to do for platform support."
"When using UiPath automation, we could just Google issues if we were stuck with something. In the initial days with Jiffy.ai, we could not get that type of information from Google because there wasn't much of a community."
 

Pricing and Cost Advice

Information not available
"I like that it is very cost-efficient."
"If cost is of concern, then start with Jiffy. If cost is not your main concern there are a few premium products out there, but they come with a huge price tag."
"The pricing and license make sense. They have a model based on the concurrency of the workforce, which is very suitable in our case. The savings are great on the licensing cost."
"The pricing is quite competitive. As a small player in the market, they are quite aggressive in their pricing. With the features that they offer, it is quite worth the value."
"The licensing is not expensive; it is quite cheap. The expensive part is to support and maintain it. Understandably, we engage them to do a lot of work that could have been done by our own staff, if we had an RPA team. I wouldn't hold that against them. It is just that the cost of support is on the higher side for us."
"Its license is yearly. There are no additional costs to the standard fee. It is a standard license."
"The solution's price is reasonable."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
25%
Computer Software Company
11%
Transportation Company
10%
Healthcare Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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What do you like most about Jiffy.ai Automate?
Its initial setup process was quite efficient.
What is your experience regarding pricing and costs for Jiffy.ai Automate?
The solution's price is reasonable in terms of its performance. The licensing costs approximately $10,000 per year. There are no additional costs involved.
What needs improvement with Jiffy.ai Automate?
The solution's support services need improvement.
 

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Sample Customers

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Southwest Airlines
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