Put your data to work. Build use cases in days not months.
3 months saved
in engineering time per project
30% increase in accuracy
compared to GPT-4 on every task
12 billion+ data points
processed to date
How Refuel Cloud works

The modern way to deploy accurate, reliable AI models to production

1 |

Describe your task with words and guide with feedback

Simply instruct Refuel on how to clean, label, or enrich your data in simple natural language, or pick from a library of pre-built templates. Provide simple thumbs-up or down feedback to guide the AI.
A GIF that demonstrates the sentiment analysis process on Refuel's user interface

Fine-tune an LLM purpose-built for your task. Outperform GPT-4 by 30% at 1/10th the cost.

Our no-code LLM training manages everything from data curation to hyperparameters to infrastructure so you just see results without having to do the training yourself.
Your models, full control, managed seamlessly.
An animation that shows a user scrolling down a sample Refuel categorization task page.

2 |

3 |

Deploy behind an endpoint, instantly. Feedback loops built-in.

Refuel makes it a single click to deploy your application to run in real-time and at any scale. Power it with the model that best fits your latency and accuracy needs, with built-in feedback loops for accuracy improvement.
A sample code window showing how to implement Refuel's product

Enterprise-grade connectors and industry-standard security (SOC 2 and more)

Maintain full control over your data and choice of LLMs. Run Refuel in your own environments, so no one trains models on your data. Refuel provides connectors for reading data from and writing data into where your data already lives.
A light blue circle with the words "SOC" on it in white.The text "GDPR" inside the European Union logo

4 |

Why Refuel

An all-in-one platform for building and deploying AI applications at scale. Just bring your data.

We are a team of ML researchers and infra experts who stay up-to-date with the latest in AI, and sweat the details on tuning every parameter. We do this, so you never have to.

Outperform GPT-4 with you in the driver’s seat

We automate prompt engineering, model evaluation, dynamic few-shot prompting and hyper-parameter optimization for you, so you see the highest accuracy possible.

Built for speed and scale

Refuel unlocks limitless scale and sub-second latency with smaller models so you never worry about rate and token limits or slow responses. Go to market faster with scale in mind.

A simple, seamless experience

Work with the interface designed for operating LLMs on large-scale data operations. Pre-build templates, simple feedback mechanisms and team workflows get your job done faster.

Develop securely with control

Refuel employs enterprise-grade security for constant data protection and offers deployment options for maximizing control over your data and choice of models.

"A key bottleneck in driving growth for our marketplace is clean, structured data about our product inventory. We consistently see 95%+ precision from Refuel, and Refuel’s customized LLMs can enable us to dramatically scale the amount of data we label – from 10000s of data points per week, to millions."

Photo of Andrew Jeon smiling and looking at the camera

Andrew Jeon

Director of Product Management – Coupang

"Data labeling is a critical need for Enigma. We compared Refuel against our existing manual data labeling solution, and not only did Refuel’s LLM produce more accurate labels as validated by human teams, but their speed for large datasets was astounding – 1 day compared to 5 weeks. We’re excited to partner with Refuel on many more projects and leverage LLMs for data labeling and enrichment."

Photo of Charles Zhu looking at the camera

Charles Zhu

VP of Product Management – Enigma

"Refuel drastically reduces time to market for our ML features. Our team used to spend so much time on getting our training datasets in order for every new feature, but with Refuel, we can dramatically accelerate our roadmap."

Photo of a man outside, smiling and looking off camera

Berk Coker

CTO – TeachFX

"Labeled data from Refuel has enabled a novel way to evaluate our core ML models at scale. We’re amazed at how well Refuel’s LLMs were able to learn the nuances of our business identity data and appreciate how the Refuel team showed up throughout our partnership."

Photo of a man smiling and looking at the camera

Ken Chew

Data Science Lead – Middesk

"Refuel makes it so easy to improve models by labeling data at extreme accuracy. This is a no-brainer for every data and AI team."

Photo of a man smiling and looking at the camera

Prasad Kawthekar

CEO – Dashworks

A key bottleneck in driving growth for our marketplace is clean, structured data about our product inventory. We consistently see 95%+ precision from Refuel, and Refuel’s customized LLMs can enable us to dramatically scale the amount of data we label – from 10000s of data points per week, to millions. 

Photo of Andrew Jeon smiling and looking at the camera

Andrew Jeon

Director of Product Management – Coupang

Data labeling is a critical need for Enigma. We compared Refuel against our existing manual data labeling solution, and not only did Refuel’s LLM produce more accurate labels as validated by human teams, but their speed for large datasets was astounding – 1 day compared to 5 weeks. We’re excited to partner with Refuel on many more projects and leverage LLMs for data labeling and enrichment.

Photo of Charles Zhu looking at the camera

Charles Zhu

VP of Product Management – Enigma

Refuel drastically reduces time to market for our ML features. Our team used to spend so much time on getting our training datasets in order for every new feature, but with Refuel, we can dramatically accelerate our roadmap. 

Photo of a man outside, smiling and looking off camera

Berk Coker

CTO – TeachFX

Labeled data from Refuel has enabled a novel way to evaluate our core ML models at scale. We’re amazed at how well Refuel’s LLMs were able to learn the nuances of our business identity data and appreciate how the Refuel team showed up throughout our partnership.

Photo of a man smiling and looking at the camera

Ken Chew

Data Science Lead – Middesk

Refuel makes it so easy to improve models by labeling data at extreme accuracy. This is a no-brainer for every data and AI team.

Photo of a man smiling and looking at the camera

Prasad Kawthekar

CEO – Dashworks

Ready to get started?

Start labeling data in minutes.