Go beyond social listening by analysing complaints from your customers, track competitor brand sentiment, or monitor product launch performance from further and wider than ever before, by analysing unstructured data from across the web.


Discover valuable customer insights within unstructured data

Combine data:

Our Skim Engine combines data from millions of different sources both internal (email, support tickets, chat) and external (forums, blogs, product pages or social media) to create a live dataset for analysis

Extract Value:

We then intelligently extract features from the text, to identify products, brands, companies, people and more as well as context and sentiment.

Deliver Insights:

This intelligent data is modelled and presented via our analytics platform. Or if you want to do the digging yourself you can connect to our API.

How You Can Use It


Brand Tracking:

Whether it's your own brand or a competitors, you can get a wider view into likes and dislikes across a brand, a product range or the entire company. Start to connect the dots between announcements and opinions and inform a better strategy.


Product Development:

Track sentiment before or after a product launch, or link common features across competitor products. All useful insights to help with a smarter product roadmap.


Market Research:

Want to win a new client pitch? Identify brand and product sentiment your client hasn't seen before. Link product features from competitors to gaps in their roadmap, and wow them with the insights you uncover.


Complaint Tracking:

Do you know exactly what your customers say about you, good or bad, across the entire web? Use Skim to get a fuller picture and ensure customer success

Book a demo

Want to see our Smart Insights model in action?

Speak to our Data Experts today to learn how Skim can turn your data into insights and unlock real opportunities for your business

Our mission

Skim’s mission is to empower people to use data more effectively and to demystify artificial intelligence. Rather than holding up the common narrative of machines replacing humans, we see how machines can help humans to have easier lives and better businesses.

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