Brassring, formerly from IBM and part of the Kenexa Talent Acquisition Suite, and now sold by Infinite Computer Solutions, is an enterprise grade ATS and onboarding solution. It allows companies to find the right talent, track and manage candidates, and use candidate data to spot trends within the applicant pool.
N/A
Kortical
Score10 out of 10
Enterprise companies (1,001+ employees)
Kortical is an end to end AI as a Service (AIaaS) platform designed to accelerate the creation, iteration, explanation and deployment of world-class machine learning models. The vendor describes the key benefits of Kortical is AutoML that writes custom machine learning solutions from the ground up in code. Getting hands-on with the code is optional but being able to edit code it makes it easy to get the best of data scientists and AutoML, while also getting the benefits of full…
N/A
Pricing
Brassring
Kortical
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Brassring
Kortical
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
—
More Pricing Information
Features
Brassring
Kortical
Recruiting / ATS
Comparison of Recruiting / ATS features of Brassring and Kortical
Kenexa is is well suited for any organization that has more than 3000 employees globally. I would not recommend this to startups or a growing organization with less than 3000 employees. But once you cross this number, Kenexa becomes useful and is a brilliant tool for global operations - recruiting. I would recommend this tool to any organization that has offices in many countries/geographies as well.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Kortical is really widely applicable to many use cases, although it doesn't handle images or video it is great to help you build really great ML models without needing to plan ahead what you are going to try, you let the platform build you the best model. It is suited to beginner and more advanced data scientists as you can edit the code to narrow the search space which makes model creation more you build it without AutoML. Hosting the model behind an API that is ready to go is great as it saves so much time vs doing that dev work from scratch
Kenexa allows Boolean key word search within a particular requisition so it makes sifting through a high number of applicants manageable and effective
Kenexa can be tailored to meet individual business needs. During the time we’ve had Kenexa here I’ve used it in support of a few different business segments and for each the way the system was used to “position” candidate statuses have varied based on the individual need of the business. One example is when interviewing a high volume of applicants internationally, we were able to send qualified applicants through to the “event manager” and it would enable the candidate to select his/her interview date/time based on previously submitted options inputted by our Kenexa users.
Kenexa allows one to customize and score questions for each open requisition that applicants complete as they apply. The system then sorts applicants according to the score of candidate answers allowing for easy sorting of top qualified candidates.
BrassRing's application system for candidates is prone to freezing and crashing in the middle of the application causing potential candidates to lose all progress. I filled out the application myself and witnessed these issues first hand, on top of several complaints I received via phone and email from candidates attempting to apply via the BrassRing service. Also, the Parsing system within the application is not capable of pulling any meaningful information out of text documents.
Each user must be added to each job in order for that job, and the candidates in it, to show up in relevant searches. This becomes a problem when a new team member joins the account and needs access to all of the previous openings just so that they can find candidates already in the system. The account I was working on involved literally hundreds of new openings a month, meaning that any movement of personnel on or off the account would mean having to update potentially thousands of old positions just to allow them to be able to mine the ATS for candidates. I don't see any particular reason why someone with access to the system should have to be given access to each individual job. If a particular position needs to be kept confidential for whatever reason then that individual position should be able to be set to only show to authorized recruiters. The rest of the positions should automatically be searchable by anyone with appropriate access to the ATS to allow for basic level candidate mining and movement.
I am confident that the Kenexa product will continue to evolve to meet the needs of our business in an ever changing work environment. The affiliation with IBM also plays a factor as we have a long standing successful relationship with IBM products. We will be looking to integrate other Kenexa products in the near future to streamline our HR processes.
I feel like I am pretty decent with computers and systems. It was fairly easy to use it after about a week or two . But I have seen people struggle with it as well as some people not use it at all. It can be slow at times and not work at times. But Its a fine system.
It is a very basic system. It may be OK for entry level positions only. The practice of removing CVs while the recruitment process is ON is disturbing and there is no one to explain or to inform why it is being done. Even a routine mail is not sent to the client/consultant. I am surprised how this system is continuing without too many complaints.
Their support is great as we use Slack and we have our own channel and they always respond really quickly. Data Science support is available to help unblock you as well as dev support as we're setting up the data feeds. It would be great if there were more FAQ or self-help guides in the platform but the personal touch is also really appreciated and probably gets us there quicker anyway.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
SF ATS was not available at the time and Taleo was thought to be too expensive. In retrospect, given the amount of customization and leveraging of other vendor technology for things like analytics I suspect any cost advantage we realized evaporated
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
ROI is great as what we would spend on compute we get the AutoML for essentially the same price so it is cost neutral as Kortical comes with compute built-in.
The results mean that we can automate so much more than our previous model so that is key to the positive ROI.
The platform auto trains new models and lets us know when there is a better model so it has saved a lot of time so we can focus on new business problems to solve with ML.
