Track company performance in real time

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Revenue chart Revenue chart

Unique insights from next-generation web scraping

We assemble obscure web data and apply proprietary AI models to predict a range of key company metrics.

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Accuracy

Our predictions are consistently within 1% of reported figures

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Detail

We model metrics by aggregating every transaction a company makes, so clients can understand the context behind our predictions

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Unpublished metrics

We can unearth metrics which are not disclosed in company reporting, such as the booking curve for travel companies

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Latency

Our data can be delivered T+1, ahead of credit card data

Industry coverage

Our unique coverage includes hard-to-track sectors like industrials, autos and luxury.

Luxury
Fashion
Hotels
Airlines
Consumer Electronics
Semiconductors
Autos
Industrials
1TB
Data gathered by Athelas each day
$100bn
Assets managed by our clients
1m
Products scanned each day

Our team

Photo of Andrew Long
Andrew Long, CFA
CEO

Andrew previously founded a profitable fintech business, and before that spent 12 years as an equity options trader in London, Paris and Hong Kong.

Photo of Chris Berry
Chris Berry
CTO

Chris has 15 years' experience as a software engineer and technical leader, at startups and blue chip firms. He holds a MSc in Computer Science and a BSc in Economics.

Matt Dixon
Engineer

Matt's background is in scraping sports betting data, and before that in data engineering in the healthcare sector. He studied Computer Science at Swinburne University.

Henry Ashton, PhD
Senior Engineer

Henry was an equity portfolio manager for 10 years before gaining a doctorate in Computer Science. He also holds degrees in Mathematics, Economics and Forensic Accounting.

Book a demo

Please choose a convenient time and we'll send you a link to a meeting with Andrew.