Skip to main content
MIT Corporate Relations
MIT Corporate Relations
Search
×
Events
STEX25
Startups
opportunities
MIT ILP
Sign-In
Register Your Startup
Search
Search
×
STEX Home
Events
Corporates
Event Videos
Startups
STEX25
Featured
Videos
Startups
Search
News
opportunities
MIT ILP
User Menu and Search
Sign-In
Register Your Startup
Search
STEX Home
Toggle menu
Search
Sign-in
Register your startup
Events
Corporates
Event Videos
Startups
STEX25
Featured
Videos
Startups
Search
News
opportunities
MIT ILP
Back to search results
Einblick Analytics, Inc.
STEX25
Active dates:
April 4, 2022 - April 4, 2022
STEX25
View Feature
STEX25 Participation:
April 4, 2022 - June 30, 2024
Company information
Contact
165 Middlesex Ave #1084
Somerville
,
MA
02145
United States
https://einblick.ai/
Empty Facebook link
https://www.linkedin.com/company/einblick-analytics/
https://www.youtube.com/@einblickAI
Empty Twitter link
Elevator Pitch
Elevator Pitch
Einblick is an AI-native data notebook that empowers users to solve any data problem with just one sentence. Data professionals no longer have to switch tabs and research answers on Google or Stack Overflow. With Einblick, by simply describing your desired data result, you can use it to write and fix code, plot beautiful charts, build models, and much more.
Description
Description
Einblick is an AI-native data notebook on an interactive canvas. The engine behind it, Prompt, is an AI agent that empowers users to solve any data problem with just one sentence. Data professionals use Einblick to work more efficiently and bring insights to their business faster because it allows them to focus on their data goals and do the bulk of their coding without context switching, copy-pasting, or tracking down documentation.
Technology Description
Technology Description
Prompt: Our AI agent leverages the power of generative AI. Einblick Prompt is fully integrated into the Einblick canvas – so you can build any workflow without ever switching tabs to Google or Stack Overflow. Use it to do things such as:
-Write code quickly with just natural language prompts
-Create beautiful and complex charts
-Debug Python with just a click
Canvas Style Data Notebook: During our research years in academia, we found that data scientists need to have a more flexible workspace that was innately collaborative. The canvas environment increases productivity, is more intuitive, and aligns with how humans process data.
Multimodal workflows: switch from Python, SQL, and interactive components like Charts and Tables easily
Live collaboration: no need to hop on Zoom, you can work together in multiplayer in an Einblick canvas