Matching people with content to drive conversion, using smart math.
One line pitch
Matching people with content to drive conversion, using smart math.
Team
CEO: Alex Kelleher – was previously co-founder of Touch Clarity, and is supported by a team of University Professors in artifical intelligence and machine learning Commercial Director: Glen Conybeare
Pain
Sites have been through usability and basic content testing. Now they are missing out on the revenue and profit that can be delivered through smart content-targeting
Solution
A highly effective solution to matching individuals with content. The software and approach are focused only on increased relevance – that drives increased user response and ultimately revenue and profit.
Technology
Technology is a SaaS (Software as a Service) remote service
Market
Large ecommerce and content (publisher) sites
Business Model
Our success is directly related to the success of our clients – and our business model is based on this
Competition
A range of content targeters, but typically those in the “recommendations” area, though these tend to be less commercially rigorous
Milestones
- Get more customers – Help them be ridiculously successful
Conclusion
The internet is moving towards one-to-one relevance, at last. That shift needs technologies capable of processing the vast amounts of data thrown up by individuals’ behavior online. Cognitive Match is a key part of that.
Cognitive Match is profoundly interesting in that it leverages tools in mathematics, technology and content to deliver relevant solutions to customers. The team is also a neat and diverse group.
On July 1, it was anounced that Cognitive Match raised a Series A round in order to focus on development. Right now, it seems as if they’re still in development mode, as the site is a bit brief and vague; however, the idea conjured is quite intriguing. The pain they’re proposing to target and mitigate is significant enough to where I’d love to implement it:
Cognitive Match applies a combination of artificial intelligence, learning mathematics, psychology and semantic technologies to create software solutions that match individuals with content in real-time on the internet. The software ensures maximum response from individuals, thereby increasing conversion, revenue and ultimately profit for Clients.
Bottom Line: Though I’m not a quant, and certainly not an advanced math guy, I do find services that combine the realm of mathematics and technology interesting (i.e. Wolfram Alpha). I look forward to seeing what these guys pull off.
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