Refuel.ai

Refuel Cloud is the unified, end-to-end platform for cleaning, structuring, and enriching enterprise data at scale. Designed for data science and engineering teams, it solves the critical challenge of achieving high-quality datasets quickly by leveraging custom, purpose-built Large Language Models (LLMs) and automated fine-tuning. Refuel transforms weeks of manual data preparation and prompt tuning into hours of productive output, ensuring your AI models are built on high-integrity data from the start.

Key Features

Refuel provides a streamlined workflow designed to deliver superhuman data quality and accelerate deployment, managing all the complexity of LLM customization for you.

✍️ Define Tasks with Natural Language Feedback

Simplify complex data logic by instructing Refuel on how to clean, label, or enrich your data using simple natural language descriptions or pre-built templates. Instead of painstaking prompt engineering, you guide the AI with binary feedback (thumbs-up/down) on outputs, allowing the system to rapidly learn your specific domain rules and requirements.

⚙️ Automated LLM Customization and Fine-Tuning

Outperform off-the-shelf models by deploying LLMs purpose-built for your task. Refuel automates the entire customization lifecycle—from data connectors and few-shot example selection to hyperparameter optimization and deep fine-tuning. This systematic approach allows you to ascend the complexity ladder quickly, consistently driving accuracy towards the 99%+ threshold without requiring specialized ML infrastructure expertise.

🚀 Instant Deployment for Real-Time and Batch Processing

Deploy your high-quality data tasks instantly for both streaming workloads and large batch processing pipelines. Refuel manages the underlying infrastructure and scaling, enabling sub-second latency and limitless scale, eliminating common bottlenecks like rate limits or token constraints associated with external API models.

🛡️ Enterprise-Grade Security and Data Control

Maintain full sovereignty over your data and choice of models. Refuel Cloud is built with enterprise security standards (including SOC 2 compliance) and offers deployment options that allow you to run the platform entirely within your own environment. This ensures that your proprietary data remains protected and is never used to train external models.

Use Cases

Refuel Cloud is engineered to handle the "unsexy" but critical data tasks across finance, e-commerce, legal, and HR, where accuracy and scale are paramount.

Refuel Cloud is built by ML researchers and infrastructure experts dedicated to achieving peak performance on complex enterprise data challenges. We focus on tuning every parameter so you can focus on building products.

Unmatched Accuracy for Enterprise Data Tasks

Refuel LLM-2, the platform's proprietary model, is purpose-built and trained on over 50 billion tokens across thousands of data structuring and enrichment tasks in finance, HR, and e-commerce.

• Benchmark Performance: RefuelLLM-2 consistently outperforms current state-of-the-art models on data labeling and enrichment tasks. On a recent benchmark, RefuelLLM-2 (83.82%) surpassed GPT-4-Turbo (80.88%) and Claude-3-Opus (79.19%).
• Guaranteed Quality: Our platform delivers up to 30% higher accuracy compared to using off-the-shelf GPT-4 for the same tasks, ensuring your downstream applications receive the highest quality data possible.

Reliable Confidence and Human-in-the-Loop Integration

Unlike standard LLM outputs, Refuel provides a calibrated confidence score for every prediction. This is a critical feature for high-stakes environments:

• Error Reduction: You can filter, retry, or ensemble outputs based on these reliable confidence scores, virtually eliminating hallucinations and reducing the risk associated with costly mistakes in applications like loan processing or legal parsing.
• Intelligent Automation: Route only the low-confidence examples for manual review, ensuring human experts focus their time efficiently while 90%+ of the process is fully automated.

Built for True Speed and Scale

Refuel is optimized for production environments, eliminating the development-to-production gap often seen with larger, slower models.

• Low Latency: Achieve sub-second latency and limitless throughput by leveraging smaller, highly capable models optimized for data operations.
• Efficiency: Refuel automates dynamic few-shot prompting and hyper-parameter optimization, saving your engineering team months of effort typically spent debugging and tuning prompts manually.

Conclusion

Refuel Cloud provides the speed of automation with the quality of a human expert, fundamentally changing how enterprises acquire and utilize structured data. By moving beyond prompt engineering to customized, fine-tuned LLMs, you can deliver high-quality data at the speed of thought.