No more typing reviews! Try our Samantha, our new voice AI agent.

Private AI vs XGEN AI comparison

Review summaries and opinions

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

Categories and Ranking

Private AI
Average Rating
10.0
Number of Reviews
1
Ranking in other categories
AI Professional Services (7th)
XGEN AI
Average Rating
7.0
Number of Reviews
1
Ranking in other categories
AWS Marketplace (76th)
 

Mindshare comparison

Private AI and XGEN AI aren’t in the same category and serve different purposes. Private AI is designed for AI Professional Services and holds a mindshare of 1.9%, down 2.2% compared to last year.
XGEN AI, on the other hand, focuses on AWS Marketplace, holds 0.2% mindshare, up 0.1% since last year.
AI Professional Services Mindshare Distribution
ProductMindshare (%)
Private AI1.9%
Accenture AI services3.2%
Software Orca2.9%
Other92.0%
AI Professional Services
AWS Marketplace Mindshare Distribution
ProductMindshare (%)
XGEN AI0.2%
47Lining Enterprise PaaS- Adoption Catalyst0.4%
Alt/Finance - Crystal & Rhinestone Bag Index (CRI)0.4%
Other99.0%
AWS Marketplace
 

Featured Reviews

reviewer2783763 - PeerSpot reviewer
Manager, Software Development at a outsourcing company with 201-500 employees
Secure access control has protected internal documents and improves private collaboration
The best features Private AI offers for my needs include security. What stands out to me about the aspects of security in Private AI are access control and privilege for the users using the solution. Private AI has positively impacted my organization very much because privacy is more important for us. It has reduced the risks and improved the collaboration.
Rajiv Kedia - PeerSpot reviewer
IT Director at a consultancy with 10,001+ employees
Personalized conversations have boosted engagement but need clearer insights and cleaner data
My experience with using XGEN AI for hyper-personalization is that it is generally very strong, but it needs to be implemented correctly. The way it really works well is that real-time behavior tracking is very fast, allowing you to give better results to your users. The recommendation engine is also very fast. The main point is that you need clean data; if you don't have clean data, it can reduce the impact and sometimes over-personalize, which can be of no use or may have negative implications as users might see repetitive items. The best features XGEN AI offers, in my view, are its strong event tracking capabilities. It can track events, clicks, and views, and it has good product metadata. If you're looking to build a true conversational AI engine, it is the best. My assessment is that it works best when treated as a revenue engine, not just as a feature. You have to tie it to a metric such as conversation and retention to see clear ROIs. What stands out to me most about the event tracking or conversational AI engine in XGEN AI is its conversational AI understanding. With NLPs or with most chatbots or voicebots that you would be building, the biggest struggle point is that they are very deterministic in nature, and they don't let you know what to tell and when to tell the user. With XGEN AI, I feel this is consolidated and you get a unified view. XGEN AI has positively impacted our organization by helping us track what users are looking for. The initial release itself showed that the success rate is more than what we were getting previously. We were able to collect a lot of data, and the best part is that it can work across channels, apps, and emails, which helps us provide a unified experience to the end user. We have seen XGEN AI recommendations lift conversion by 10 to 15 percent. We have experienced real-time behavior tracking and have started seeing some ROIs; though I'm not allowed to share the actual ROI itself, we see improvement in the overall metrics. User engagement has been very positive. We have focus groups and are collecting client feedback, and for most people that we have been able to capture feedback from, the CSAT has improved. That's the biggest thing, so overall, it's trending towards positive.

Quotes from Members

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

Pros

"Private AI has positively impacted my organization very much because privacy is more important for us."
"We have seen XGEN AI recommendations lift conversion by 10 to 15 percent."
 

Cons

"Private AI can be improved for security."
"However, the things that do not work as well include its high dependency on data quality and very limited transparency in how recommendations are generated, which needs to improve."
report
Use our free recommendation engine to learn which AI Professional Services solutions are best for your needs.
894,738 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Construction Company
43%
Insurance Company
13%
Comms Service Provider
7%
Healthcare Company
7%
Construction Company
35%
Comms Service Provider
18%
Transportation Company
11%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What needs improvement with Private AI?
Private AI can be improved for security. Encryption is a specific area that could be stronger. I don't think Private AI needs any other improvements outside of security.
What is your primary use case for Private AI?
I have been experimenting with Private AI for six months so far. My main use case for Private AI is generative AI for vendors. I use Private AI in locating folders in the internal files documents i...
What advice do you have for others considering Private AI?
There is nothing else I would like to add about my main use case or how it's working for me so far. My advice to others looking into using Private AI is that it needs to read the internal documents...
Ask a question
Earn 20 points
 

Comparisons

No data available
 

Overview