This is the first edition of SwiftScale Selections — a monthly feature of 5 fast-growth startups doing good stuff in a particular vertical.

This November, we’re getting excited about data.


Cambridge Intelligence — visualise your connected data

UK-based, 2011 founded, bootstrapped, 30 employees.


Where’s the good stuff? 

Shortlisted in the Sunday Times Tech Track 2018, recognised as a Cool Vendor by Gartner in 2016 and placed 15th in the 2017 Disrupt 100.

What do they do? 

They help organisations uncover new insights into their connected data using network visualisation technology. From fraud detection to cyber security, they make it possible for analysts to ‘join the dots’ in their networks, uncover hidden threats, and generate intelligence.

Their Key Lines Technology tool makes it quick and easy to build powerful data visualisation applications, roll them into analysts’ tools and workflows, and deploy them anywhere in the world.



Import.io — web data extraction platform

US-based, 2012 founded, $22.8m raised, 53 employees


Where’s the good stuff? Raised a total of $22.8m to date, won a plethora of awards and their clients include Uber, Shell, Accenture and Amazon to name a few.

What do they do? As the largest data source on earth (and growing), web data provides incredible value. Import.io enables organisations to gain intelligence, efficiencies and competitive advantages from the vast amount of data on the web.

Their web data platform is a scalable, managed service or hands-on SaaS solution for data; cleaning and transforming, visualising and reporting, accurately extracting, integrating into a company’s internal and external processes and finally sharing alongside images, reports and visualisations.



Anodot – automated anomaly detection system and real-time analytics

Israel-based, 2014 founded, $27.5m raised, 73 employees


Where’s the good stuff? Made waves at the end of last year after announcing their Series B raise which was led by Redline Capital Management, were recognised as a cool vendor by Gartner in 2016 and have an impressive client list including Microsoft, Telekom and WeWork.

What do they do? Anodot illuminates business blind spots with AI analytics, so companies do not miss revenue leaks or brand-damaging incidents. They provide real-time analytics and automated anomaly detection, discovering outliers in vast amounts of data and turning them into valuable business insights.

Their automated machine learning algorithms continuously analyses all business data and alerts companies in real time whenever a metric is out of place long before it becomes a major issue.



LEVERTON– turns unstructured documents into insightful, structured data.

German-based, 2012 founded, €15m raised, 105 employees


Where’s the good stuff? 100+ global corporate and investor clients including JLL, Deutsche Bank, SAP & Clifford Chance, global presence and have won a plethora of awards.

What do they do? LEVERTON is an AI-driven information extraction and management platform that leverages machine learning technology to automate the process of document management by creating structured data out of unstructured documents, enabling smarter and data-driven decisions for clients.

Their platform empowers corporations and investors to be more efficient and effective with their data & document management. It facilitates quick and data-driven decision-making by creating actionable, valuable insights out of unstructured data.



Dremio — empowers business users to curate precisely the data they need, from any data source.

US-based, 2015 founded, $45.0m raised, 67 employees


Where’s the good stuff? Back in April they announced the release of their new open source platform , Dremio 2.0, after which they raised $30m led by Cisco. They were also recently coined by Forbes as the company that could finally deliver on self-service data.

What do they do? Dremio empowers users to discover, curate, accelerate and share any data at any time, from any source — regardless of location, volume or structure. They empower business users to curate and analyse precisely the data they need with their favourite tools, all without the dependence on IT.]