Kore.ai has 100 customers using their new GALE Gen-AI platform

Yesterday I picked up some news from the team at Kore.ai who have been beta-testing their GALE platform for quite some time.

In their news release they announced 100 customers are now testing it. This sounds eminently promising.

What is GALE? Here is the summary from the release:

GALE is the industry's first dedicated GenAI application platform that addresses businesses' need to rapidly develop and deploy advanced AI applications and scale them in an enterprise environment. With a no-code toolset and intuitive visual interface, GALE offers enterprises the most efficient way to experiment with multiple models and prompts, build and deploy AI agents for the first time, making it easy for developers without specialized AI talent.

The way it's presented, I wonder if you could describe GALE as Zapier-for-AI-processes? That might be somewhat inaccurate, but it certainly looks a little like this – and I wonder if it's helpful to think of it like this, at least initially.

If, for example, you've got a specific set of business processes that you feel could benefit from a bit of Generative AI at some stages, plug them into GALE, select the models you want to use (i.e. Gpt 4.o, Claude) and then execute – safe in the knowledge that GALE will handle everything in a robust and enterprise-grade manner.

I think that's what I'm seeing when I look at the product's webpages.

If so, then there's likely to be a lot of interest from enterprise players, not least because the opportunity to test-and-learn with GALE will, I'm sure, be highly valued. Indeed, I think that would be one of the primary reasons to acquire GALE in the short term (unless you have specific demands today).

Organisations can't be handing their OpenAI enterprise keys out to everyone in the company. Things need to be controlled. Data needs to be managed correctly. We also can't keep hiring £1,500/day AI architects for every single idea we want to look at.

Instead, have a play around with GALE first. Use the point-and-click no-code system. See if it works. See if it's usable. See if your existing tech team can plug into it and do something useful with the results...

And if you're happy? You can actually go live and your architecture and tech teams should be much happier if it's running through GALE than if it's Wild-West-Style hacked together code with a bit of Python and some shell scripts doing the work.

Very interesting.

Here are some screenshots from the GALE promo video to give you an idea of the offering:

Find out more about Kore.ai's GALE here.