Greenhouse is an ATS for companies of all sizes. Greenhouse's software supports every stage of the hiring process, from sourcing to onboarding, with the goal of empowering companies to hire top talent quickly, consistently and fairly as their business grows.
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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…
Well suited for Big organizations where recruitment is a daily task. Understanding of Greenhouse workings is simple and it is not difficult to train people who use it for first time. Greenhouse is less appropriate if you are looking for sharing offer letters or doing employee onboarding. Did not had a great experience in doing that
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
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. TR verified that a representative sample of customers was invited. More Info
Greenhouse Security is simple, but not that granular. For example, everytime new recruiter joins, we have to give them access manually one by one. There is no one click or an easy way to auto assign security unlike other systems that we use such as Workday.
Greenhouse reporting is very lacking. Even though we are on the highest tier, we cannot extract data through this delivered feature. For example, scorecard custom questions. We have to do this through SQL.
Greenhouse Audit Log is also lacking. It is not useful at all. We cannot even see what job info changed and who changed it even though we are on the highest tier now.
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
Greenhouse's user-friendly interface, efficient workflows, and integration capabilities with other HR tools make it a powerful tool for our company, helping us streamline our hiring and onboarding processes. With its customizable workflow and intuitive design, Greenhouse allows us to create a hiring process that suits their specific needs and requirements, without the need for extensive coding or technical expertise. Moreover, Greenhouse's integration capabilities with other HR tools enable us to centralise our hiring and onboarding data, making it easier to access and analyse applicant information, and reducing the risk of data loss or errors.
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
I have never needed to call Greenhouse for support. I am not the primary account holder, nor do I use Greenhouse enough to merit calling support. I delegate that responsibility to the Recruiting team. They have never mentioned any experience with Greenhouse technical support, either bad or good. I would assume that they would tell me if the support was poor.
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
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
Tools appears very light to use. It does not take forever to load. the interface is very simple but capable, unlike many ATS's. The tools is Simple yet loaded with very useful functionalities that save a lot of time and expedites the processes. For different stakeholders, the tools works accordingly.
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.