Powering next-gen AI applications for startups and enterprises
Months saved per project
Data for ML Teams
Leading ML teams use Refuel to label data on-demand – from creating initial training datasets to ongoing performance monitoring – saving 3 months per project, reducing labeling costs by 90% and improving ML model performance by up to 50%.
We partner with teams solving challenging entity matching and linking problems – whether it is business entities, consumer data or digital records – used in KYB/KYC, fraud detection and data deduplication.
Fintechs, data providers and banks use Refuel to categorize transactions at scale, perform attribute and merchant enrichment and drive better outcomes for customers with better data.
Product Catalog Enrichment
Marketplaces and e-commerce companies use Refuel for product categorization and attribute enrichment – leading to improved search rankings, and increase in sales, all with minimal engineering effort.
Social media companies, marketplaces and gaming platforms work with Refuel to detect hate speech, toxic content and misinformation and improve safety and user experience – Refuel is 80% cheaper than just manual review, and enables a 5x increase in throughput.
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