Exclaimer is a provider of email signature solutions, operating with the goal of empowering businesses to u
$0.90
per month (billed annually) per user
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
Exclaimer
Kortical
Editions & Modules
Starter
$0.90
per month (billed annually) per user
Standard
$1.45
per month (billed annually) per user
Pro
$1.75
per month (billed annually) per user
No answers on this topic
Offerings
Pricing Offerings
Exclaimer
Kortical
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Licensing is based on the number of active mailboxes Exclaimer adds email signatures to. Subscriptions are on a monthly or annual basis. Volume and charitable discounts are available. Minimum number of users is 10 per month.
Exclaimer is highly beneficial for larger companies that have a range of business units and requirements around the look and feel of signatures. Smaller organisations are unlikely to need the same degree of customisation, so the requirement is diminished. Particularly as there is something of a cost premium and another platform to manage.
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. 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
We are very happy with exclaimer it runs 99.9% of the time without any issues. It also very easy to use and maintain and the design team are happy to use it as its so user friendly. When compared to how much time we used to spend updating banners exclaimer saves us hours. This more than justifies the cost and when it comes to renew we wont be thinking twice about doing so
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
In the order that I recall the setup process: Signature templates need to be set up (attribute mapping to AD) Office 365 connector needs to be set up (global admin needed and exclaimer engineer for guidance) Signature policies need to be set up (who gets which signatures) Office membership groups need to be setup (who in the org will use exclaimer) Members need to be added to those groups (user membership) Agents need to be deployed on the end-user hosts (local agent)
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
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've only had one issue in 7 years where I needed to reach out to Exclaimer for support, but it was handled quickly and resolved my issue. No messing around to provide additional information. Just a quick solution to what I was facing which resolved the issue on the first go around.
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.
Our implementation was relatively easy as we weren't cutting over from anything. We just got the software installed, set up the file share and got active directory set up. We got exsync on a scheduled task and it just worked. We built our templates and policies and it has always been relatively smooth.
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
Exclaimer blows the doors off compared to Letsignit. Exclaimer is a little more expensive, but you get what you pay for. What you get is a much better user interface, real analytics instead of one crappy report you have to manually sort, and a much more robust campaign area. With Letsignit I was constantly getting messages that they were experiencing one problem or another, leading to service outages that impacted our users. Gotta love it when the CEO calls because he can't find his email signature. I've had no service interruptions with Exclaim and no email "excuses." That's the sort of thing that makes you lose confidence in a supplier quickly. Oh, and no communication/bills in French. I lived near the Canadian border, I get it, but you have customer databases, communicate appropriately.
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
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
We used the Design Template service; this was a very pleasant experience and the design team we in constant communication with us to ensure the templates were designed exactly to our remit.
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.