<aside> 💻 We’re hiring for a front-end engineer in SF! (hybrid on-site, 3 days/week) About the role | Our team | ✍️ Apply here
At Arcwise, we’re untangling the complexity of modern data tools to make analytics and data science accessible to anybody.
The background - 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-technical people:
The 2021 Machine Learning, AI and Data (MAD) Landscape, courtesy of Matt Turck
Our mission is to put all that power into the hands of everyone, not just the 0.5% of people that can code; to enable everybody to use data to answer questions, understand their business more deeply, and make smarter, data-driven decisions.
Our initial product targets the trusty spreadsheet - it’s been around for over 43 years, but hasn’t evolved to keep up with the pace of modern data. We’re starting with spreadsheet users because they’re so keenly aware of that pain, stuck with CSVs that are too big to load and awkward formulas for what should be simple data transformations. Still, it’s been estimated that there are ~800 million Excel users and ~160 million Google Sheets users worldwide!
Over 150+ user conversations, we’ve seen volumes of frustration around how spreadsheets struggle to deal with modern data workloads, and heard about the pain it causes for both business users and their overwhelmed data teams.
Watch this Excel ad from 1992. “My spreadsheet doesn’t do that!”
We’re building an AI-powered copilot for spreadsheet users that:
Check out our launch post for the V1 product on LinkedIn and Twitter, as well as this quick demo video. You can install it for yourself from the Chrome store today!
On the B2B side, we’re focusing on a more targeted pain point: connecting Google Sheets to modern data warehouses (Snowflake) and the ETL modeling layer (dbt).
Users can easily pull data from Snowflake & dbt (including support for the new dbt semantic layer). This includes a no-code UI to select, filter, aggregate, and add custom computed columns.
“ARC” variants of the common spreadsheet formulas (e.g. ARCSUM, ARCCOUNT) get “pushed down” to scalable SQL that executes in the warehouse.
In 10 years, we want Arcwise to be the first place you go to learn about data, and the last tool you'll need.