Data and Analytics leaders are the lifeblood of the modern organization. They wrangle unstructured data unfit for action into ordered data that drives the company forward. But sometimes there's not enough data wranglers to support the data scientists.
Invisible does the work that your data leads hate. We enter data, label data, extract data, validate data. We scrape data from websites and we QA the data we've gathered. We're extremely competent at following instructions and running multi-step custom data transformation efforts. We're exquisitely good with tedium.
Scroll through the examples to the right 👉
I trust Indiana Jones to keep my data organized so I can...make data-driven decisions about the communities and networks I'm creating... Frankly, it would be impossible otherwise.
I've always wanted something as flexible as Mechanical Turk, but capable of more complex tasks. Invisible is a dream come true.
By letting Invisible take on repeated but nuanced tasks, we are able to focus our resources on actions that might drive a higher ROI.
You're almost like a verb in our company. Any time someone tells me no or it can't be done, I'm like we'll just put Invisible on it, I don't see the problem here...like why don't we 'Invisible it.' "
Without Invisible, we wouldn’t be able to respond so quickly to new client demands.
Like having unlimited interns at your fingertips. Their accuracy and attention to detail is what makes them our choice for outsourced labor.