At Arcwise, we’re untangling the complexity of modern data tools to make analytics and data science accessible to anybody.
Data volume worldwide is growing rapidly with no signs of stopping, at +23% year-over-year. Advancements in data infrastructure have made it possible to crunch all of it remarkably cheaply and quickly. But all of that has resulted in an overwhelming explosion of tooling, of which only a small fraction is accessible to non-coders.
Business users today are incredibly frustrated with feeling locked out from the data and tools that they need. To start with, we're building a platform on top of the trusty spreadsheet - it’s been around for over 43 years and has an estimated billion users across the world, but hasn’t evolved to keep up with the pace of modern data.
Arcwise is the missing tool that would have saved years of person-hours at Flexport, where business-critical data applications would have taken days and not months to move from spreadsheets to Python.
At Meta, Hanson was the tech lead for the Looper machine learning platform used at Meta by nearly 100 teams across the company.
He's seen the tremendous impact that democratizing ML and data-driven decisions can have first-hand, and is super excited about continuing that mission through Arcwise.
James has a passion for simple solutions to complex problems, both in industry and as a former professor. He is currently a Principal Data Scientist at Gopuff and was one of the first data scientists at Flexport where he solved pricing, logistics, and allocation problems. Prior to that he worked at Uber on surge pricing.
He has distilled cutting edge techniques into practical algorithms and is excited to bring this to a wider audience with Arcwise.
Before joining Arcwise, Santiago was the tech lead for the data platform team at Allbirds. In that role, he collaborated with many different kinds of data users and developed a passion for how data is used at organizations, how the barrier-to-entry to its usage can be lowered, and how its impact can be maximized.
He's excited to channel that passion as a founding engineer at Arcwise.
Harry studied at UC Berkeley for both his M.S. in EECS and B.S. in EECS before joining Arcwise. He studied extensively machine learning, statistics, and natural language processing, and completed his master's thesis under the Berkeley NLP Group of Berkeley AI Research Lab (BAIR). He is excited to bring his knowledge of AI/ML technologies into the realm of industry.
We're hiring for a founding frontend engineer in San Francisco!
Please check out our job posting for more information!