Articles about Hyperscience

Alyssa Schroer

Updated on May 02, 2024

Take a look at the artificial intelligence companies working to make change across a wide range industries.

Leading a company all-hands. Finalizing quarterly budgets. Perfecting client presentations.  Executives’ to-do lists are long. So where does management come into play? At local companies HyperScience and Cedar Inc., the answer is simple: every step of the way. 

These NYC tech companies are pushing the limits of AI.

See what perks the following eight local companies offer their teams.

We caught up with several engineers who shared the coolest company projects they’re working on and potential initiatives for the future.

Mike Thomas

Updated on April 04, 2024

A deep dive into the top companies making use of machine learning.

Ellen Glover

Updated on April 01, 2024

These bots are tackling the tedious, back-office work humans don’t want to do.

Kate Heinz

Updated on May 24, 2023

Follow this guide to effectively change your company culture with real examples.

Built In NYC selected 50 startups — all less than five years old — that we believe will make big moves in 2018.

Looking for work worth getting excited about?

Sometimes you have to look back to move forward when growing your company.

This is Hyperscience’s third round of funding in less than two years. The money will be used to further develop its platform and grow its team.

Kim Conway

Updated on November 16, 2021

Local team leaders are tackling difficult conversations now to better prepare their workforce for the challenges of tomorrow.

Tyler Holmes

Updated on July 12, 2021

As the world returns post-pandemic, one leader shares plans for adapting to and preparing for the unknowns.

Leaders at Hyperscience unpacked the ethos they embrace as they help power the next phase of the fast-growing company.

Built In NYC talked with product leaders about how they structure their product teams, how their teams evolved and what they look for in the future. 

As business continues to grow amid the pandemic, Hyperscience plans to use this fresh funding to further improve its software automation platform and grow its international presence. The company is also growing its team, with several open tech positions available right now.

Hyperscience can automate data entry and other repetitive tasks to make businesses more efficient.

In 2014, three out of the four people working at Hyperscience were founders. For a small, tight-knit staff, writing down the culture and the company’s values weren’t necessary. That shared understanding and work culture served the team well — for a time. The company’s machine learning solution to document processing was taking off, and the company was continuously doubling in size. But, eventually, Brodsky saw some of what he loved about his company culture begin to, as he put it, “dim.”  

The following seven NYC tech companies are focused on providing their employees with benefits that last.

How do engineers decide what tech to use to tackle their next project? And how do they stay on the cutting edge, evolving their tech stacks as new tools and trends emerge? We asked three NYC companies to find out.   

NYC tech is home to some of the most innovative companies changing their industries — and the world — for the better.

We talked to six local salespeople to learn more about what attracted them to the industry and what gets them excited to come to work each day. 

OCTOBER 2017: Not sure you’re at the right job? There’s no need to settle when there are this many companies looking to make big hires. These fast-growing startups are looking for new talent, and they’re offering some pretty sweet deals for their employees.

We decided to ask local founders why they chose NYC of all cities to launch their startups, and almost everyone we spoke with called out one specific perk: the talent.

Imagine what you could get done if you didn’t have to manage the monotony of business: the scheduling, the organizing, the paperwork. But as tech continues to advance, tedium may soon be left to the machines.