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Data & Analytics

Put a label on it.

Explore 👉

We can help.

Invisible is for ambitious industry leaders. Here's how we can help.

Here's how we help.

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.

Highlights from the year:

We've labeled 30,000 data fields this year
We write one new scraper each week
We work within your most complex workflows

For Example

Clients have used our data capabilities to build network maps, cohere analytics, and manage inventory.
Scroll through the below to see "micro" use cases. And check out our case studies for more.

Enriched Social Graphs

Before
A lot of names with no clear relationships between them.
After
A social graph and executive bio, produced from quantitative and qualitative research.

Analytics Reports

Before
Analytics in different places.
After
Analytics from different platforms turned into reports.

Structured Keyword Metadata

Before
Too much information, not enough metadata.
After
The right set of information, intelligently labeled for metadata.

Scraped Data

Before
Poor price data by location.
After
Prices sourced by location.

Examples

Clients have used our data capabilities to build network maps, cohere analytics, and manage inventory.

Scroll through the examples to the right 👉

Before:
A lot of names with no clear relationships between them.
After:
A social graph and executive bio, produced from quantitative and qualitative research.
Before:
Analytics in different places.
After:
Analytics from different platforms turned into reports.
Before:
Too much information, not enough metadata.
After:
The right set of information, intelligently labeled for metadata.
Before:
Poor price data by location.
After:
Prices sourced by location.

Related Process & Tools

Client Experience

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.

Daisy Onubogu
Head of Network, Backed VC

I've always wanted something as flexible as Mechanical Turk, but capable of more complex tasks. Invisible is a dream come true.

Hugo Liu
Chief Data Scientist, Artsy

By letting Invisible take on repeated but nuanced tasks, we are able to focus our resources on actions that might drive a higher ROI.

Alex Immel
Admissions Manager, Pathrise

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.' "

Brennan Pothetes
Product Innovation, Rhino

Without Invisible, we wouldn’t be able to respond so quickly to new client demands.

Olivier Zimmer
Cofounder, Spate

Like having unlimited interns at your fingertips. Their accuracy and attention to detail is what makes them our choice for outsourced labor.

Darlene Byrne
Director of Marketing, Powur

Everybody should be using Invisible. They have sped up processes across my life and my company by multiples...my assistant Bucky is my favorite person.

Eva Sadej
CEO, Medbar
Before:
A lot of names with no clear relationships between them.
After:
A social graph and executive bio, produced from quantitative and qualitative research.
Before:
Analytics in different places.
After:
Analytics from different platforms turned into reports.
Before:
Too much information, not enough metadata.
After:
The right set of information, intelligently labeled for metadata.
Before:
Poor price data by location.
After:
Prices sourced by location.