We’ve worked with many clients and we do everything we can to make sure they’re happy with the results.
Have a look at what some of them have said about us.
I first came across Intoli after reading some of their articles on web scraping, which are excellent.
I thoroughly recommend them for anyone learning Scrapy and web scraping in general!
Co-Creator, Scrapy
I had been wanting to make Pointy Ball for years but it wasn’t until I talked to Intoli that I found people who could actually make it a reality. They aggregated data from all over and were able to add functionality to the ESPN site to an extent that I didn’t think was possible.
If you need something done, and you’re not even sure it’s possible, then these are your guys!
Director, Experiential Learning Programs at UF
Evan was awesome to work with. He was really good at multitasking across our whole stack and he tore through some very difficult problems in no time… like scary fast in some cases.
He’s an excellent developer and I couldn’t recommend him more.
Lead Engineer, Fourmation Inc
Andre operated across the entire stack to develop a research-oriented web application with us. He worked against aggressive deadlines on everything from the backend and AWS devops, all the way to specifically architecting complex JavaScript applications that push the limits on browsers.
Andre is a pleasure to work with and I would be happy to work with him again.
Founding Partner, Deckspire
Evan is a very knowledgeable and experienced data scientist and developer. We worked with him to build a core part of our algorithm. His communication before starting the project was great: he helped narrow down exactly what we were looking for so that we wouldn’t be billed for any extra hours. He hit every requirement with well-structured, maintainable code in just a few days, and gave us lots of support afterwards to get it fine-tuned for production. I will absolutely be reaching out to Intoli again for future projects.
CTO, ClaimFound
Check out all the cool stuff we do.
An interactive explanation of how gerrymandering is a risky strategy that allows for the possibility of a blue wave.
Learn how to estimate page importance and allocate bandwidth during a broad crawl.
A short guide to breaking out of the WebExtension content script sandbox.
A free dataset and JavaScript library for generating random user agents that are always current.
We’ve been good friends and developing code together for twelve years.
Find out what makes us the perfect team to help you meet your business needs.
Evan has been an avid programmer for 19 years and has shipped projects in over a dozen languages. His career began in experimental higher energy physics where he managed distributed computing infrastructures and performed award winning research on particle identification. This work included the development of a ground breaking unsupervised machine learning technique that significantly outperformed all existing approaches. He later switched fields to statistics where he developed the strongly intensive cumulants and made the first Bayesian determination of the nuclear equation of state using advanced statistical techniques designed to accommodate otherwise prohibitively expensive models.
Since leaving academia, he has founded a startup that used artificial intelligence to make video games more fun, written technical articles that hundreds of thousands of people have enjoyed, and helped numerous companies build their products or meet their data needs.
After getting his Ph.D. in math, Andre spent two years working as a postdoc at research institutions in Canada. His academic work centered on applying ideas from mathematical physics and string theory to number theory, and he developed techniques for greatly simplifying certain extremely labor intensive calculations.
His mathematical training and life-long programming experience allowed for an easy transition to industry, where he has helped multiple teams meet their business and data science needs. He worked on desktop and web applications, as well as data science projects, and has a detailed understanding of machine learning algorithms and techniques.
Before Intoli, he most recently worked in the data science department of Spreemo Health, where he used Bayesian techniques to define analytical metrics used to measure quality of radiology services. He helped identify key predictive factors for high quality MRI exams, and demonstrated drastic differences amongst various radiology providers.
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