venturebeat.com Open in urlscan Pro
192.0.66.2  Public Scan

Form analysis
1 forms found in the DOM

GET https://venturebeat.com/

<form method="get" action="https://venturebeat.com/" class="search-form" id="nav-search-form">
  <input id="mobile-search-input" class="" type="text" placeholder="Search" name="s" aria-label="Search" required="">
  <button type="submit" class="">
    <svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
      <g>
        <path fill-rule="evenodd" clip-rule="evenodd"
          d="M14.965 14.255H15.755L20.745 19.255L19.255 20.745L14.255 15.755V14.965L13.985 14.685C12.845 15.665 11.365 16.255 9.755 16.255C6.16504 16.255 3.255 13.345 3.255 9.755C3.255 6.16501 6.16504 3.255 9.755 3.255C13.345 3.255 16.255 6.16501 16.255 9.755C16.255 11.365 15.665 12.845 14.6851 13.985L14.965 14.255ZM5.255 9.755C5.255 12.245 7.26501 14.255 9.755 14.255C12.245 14.255 14.255 12.245 14.255 9.755C14.255 7.26501 12.245 5.255 9.755 5.255C7.26501 5.255 5.255 7.26501 5.255 9.755Z">
        </path>
      </g>
    </svg>
  </button>
</form>

Text Content

WE VALUE YOUR PRIVACY

We and our partners store and/or access information on a device, such as cookies
and process personal data, such as unique identifiers and standard information
sent by a device for personalised ads and content, ad and content measurement,
and audience insights, as well as to develop and improve products. With your
permission we and our partners may use precise geolocation data and
identification through device scanning. You may click to consent to our and our
partners’ processing as described above. Alternatively you may click to refuse
to consent or access more detailed information and change your preferences
before consenting. Please note that some processing of your personal data may
not require your consent, but you have a right to object to such processing.
Your preferences will apply to this website only. You can change your
preferences at any time by returning to this site or visit our privacy policy.
MORE OPTIONSDISAGREEAGREE

Skip to main content
Events Video Special Issues Jobs
VentureBeat Homepage

Subscribe

 * Artificial Intelligence
   * View All
   * AI, ML and Deep Learning
   * Auto ML
   * Data Labelling
   * Synthetic Data
   * Conversational AI
   * NLP
   * Text-to-Speech
 * Security
   * View All
   * Data Security and Privacy
   * Network Security and Privacy
   * Software Security
   * Computer Hardware Security
   * Cloud and Data Storage Security
 * Data Infrastructure
   * View All
   * Data Science
   * Data Management
   * Data Storage and Cloud
   * Big Data and Analytics
   * Data Networks
 * Automation
   * View All
   * Industrial Automation
   * Business Process Automation
   * Development Automation
   * Robotic Process Automation
   * Test Automation
 * Enterprise Analytics
   * View All
   * Business Intelligence
   * Disaster Recovery Business Continuity
   * Statistical Analysis
   * Predictive Analysis
 * More
   * Data Decision Makers
   * Virtual Communication
     * Team Collaboration
     * UCaaS
     * Virtual Reality Collaboration
     * Virtual Employee Experience
   * Programming & Development
     * Product Development
     * Application Development
     * Test Management
     * Development Languages


Subscribe Events Video Special Issues Jobs



REFUEL AI NABS $5M TO CREATE TRAINING-READY DATASETS WITH LLMS

Shubham Sharma@shubham_719
June 15, 2023 1:07 PM
 * Share on Facebook
 * Share on Twitter
 * Share on LinkedIn

Image Credit: Adobe Stock

Join top executives in San Francisco on July 11-12, to hear how leaders are
integrating and optimizing AI investments for success. Learn More

--------------------------------------------------------------------------------



Refuel AI, a company using large language models (LLMs) to generate high-quality
training data for AI models, today came out of stealth with $5.2 million in seed
funding. The company said it will use the round to grow its team and build out
its platform’s capabilities, preparing it for commercial launch in July.

Founded by Stanford grads Nihit Desai and Rishabh Bhargava, Refuel has also
opened access to AutoLabel, an open-source library that makes it easy for any AI
team to label their data in their own environment and with any LLM they want.

1
/
12
diversity_in_gaming_breakfast
Read More

36.8K





Video Player is loading.
Play Video
Unmute

Duration 0:00
/
Current Time 0:00
Playback Speed Settings
1x
Loaded: 0%

0:00

Remaining Time -0:00
 
FullscreenPlayUp Next

This is a modal window.



Beginning of dialog window. Escape will cancel and close the window.

TextColorWhiteBlackRedGreenBlueYellowMagentaCyanTransparencyOpaqueSemi-TransparentBackgroundColorBlackWhiteRedGreenBlueYellowMagentaCyanTransparencyOpaqueSemi-TransparentTransparentWindowColorBlackWhiteRedGreenBlueYellowMagentaCyanTransparencyTransparentSemi-TransparentOpaque
Font Size50%75%100%125%150%175%200%300%400%Text Edge
StyleNoneRaisedDepressedUniformDropshadowFont FamilyProportional
Sans-SerifMonospace Sans-SerifProportional SerifMonospace SerifCasualScriptSmall
Caps
Reset restore all settings to the default valuesDone
Close Modal Dialog

End of dialog window.

Share
Playback Speed

0.25x
0.5x
1x Normal
1.5x
2x
Replay the list

TOP ARTICLES






 * Powered by AnyClip
 * Privacy Policy




diversity_in_gaming_breakfast


>>Don’t miss our special issue: Building the foundation for customer data
quality.<<

The offerings come as an answer to the data challenges that slow down AI
development, keeping enterprises from embedding the next-gen technology into
their products and business functions.


EVENT

Transform 2023

Join us in San Francisco on July 11-12, where top executives will share how they
have integrated and optimized AI investments for success and avoided common
pitfalls.

 


Register Now


EVERY AI COMPANY NEEDS AI-READY DATA

Today, every company is racing to be an AI company, working with in-house
experts and third-party vendors to develop models capable of targeting different
business-specific use cases. The task can be very challenging, but every AI
project has the same starting point: clean and labeled data. If this is done
right, the project can easily come to life.

Now, while companies have a lot of data at their disposal, not all of it is
training-ready by default. The information has to be cleaned and annotated for
training the model — a task that is typically handled by human teams and takes
weeks to months. This just doesn’t scale for the demands of AI today. 

“Many teams [we spoke to] had all these incredible ideas for models they wanted
to train and products they wanted to build — if only they had the data ready for
training. That’s when we knew making clean, labeled data available at the speed
of thought was what we wanted to focus on,” Bhargava told VentureBeat.

So, in 2021, the duo started Refuel and went on to build a dedicated platform
that uses specialized LLMs to automate the creation and labeling of datasets
(with quality on par with or better than humans) for every business and every
use case. 

According to the company, enterprise users will be able to use the platform by
simply uploading their datasets and instructing the LLMs to label the data. They
could also give guidelines and a few examples to ensure only high-quality
training-ready data comes out.

advertisement


“Within an hour, they (users) will have enough data to start training their AI
models, which they can then seamlessly connect into their model training
infrastructure. As these teams collect more data (especially from production),
they can re-route it into Refuel for labeling, measuring performance and
improving their datasets for model re-training,” the CEO added.

In private beta tests by select enterprises, the offering was found to speed up
the process of data creation and labeling by up to 100x. Bhargava didn’t share
the names of these companies but noted that Refuel AI is seeing interest from
multiple verticals, from social media and fintech to healthcare, HR and
ecommerce.


THE ROAD AHEAD

With this round, which was co-led by General Catalyst and XYZ Ventures, Refuel
plans to grow its engineering team from six to 12 members and further invest in
the platform and its LLM infrastructure to prepare for a commercial launch by
the end of July. The company will also invest the capital in its open-source
library and community.

“As a concrete example, we’re organizing a competition to push the boundaries of
LLM-powered data labeling, with prizes up to $10,000,” Bhargava noted.

Currently, in the data labeling space, the company competes with players like
Tasq AI, Snorkel AI and SuperAnnotate.

VentureBeat's mission is to be a digital town square for technical
decision-makers to gain knowledge about transformative enterprise technology and
transact. Discover our Briefings.




JOIN ENTERPRISE LEADERS IN SAN FRANCISCO

Learn to leverage the power of Generative AI

Learn More


 * VentureBeat Homepage
 * Follow us on Facebook
 * Follow us on Twitter
 * Follow us on LinkedIn
 * Follow us on RSS

 * Press Releases
 * Contact Us
 * Advertise
 * Share a News Tip
 * Contribute to DataDecisionMakers

 * Careers
 * Privacy Policy
 * Terms of Service
 * Do Not Sell My Personal Information

© 2023 VentureBeat. All rights reserved.