exabite.Let talk
Exabite supplies AI training data at exabyte scale, offering an off-the-shelf catalog spanning pre-training, post-training, RL, video, documents, and global web text beyond Common Crawl. The company also provides custom web scraping infrastructure built for petabyte- and exabyte-scale procurements, with delivery capacity of exabytes of data and 60T+ corpus-ready tokens.
- Artificial Intelligence
Funding
Founders
Founder details are not available yet.
Product
Problem
AI labs and enterprises building frontier models require massive, diverse datasets across pre-training, post-training, reinforcement learning, and evaluation stages. Sourcing this data at exabyte scale is slow, expensive, and often limited to common sources like Common Crawl, which lack the depth, novelty, and subject-specific coverage needed to train competitive models.
Solution
Exabite supplies AI training data at unprecedented scale, offering a large off-the-shelf catalog plus custom web scraping services built for petabyte- and exabyte-scale procurement. Their catalog spans video, documents, and global web text beyond Common Crawl, with delivery of exabytes of data and 60 trillion-plus corpus-ready tokens. Exabite's ethical scraping infrastructure is engineered for speed, volume, and cost efficiency, enabling faster delivery at higher volume than competitors. The company also continually develops novel data sourcing methods for hard-to-find pre-training, post-training, RL, and evaluation data, with a focus on helping customers build better models through technical expertise.
Target Audience
Primary customers are AI research labs and enterprises training foundation models that need massive, diverse datasets for pre-training, post-training, reinforcement learning, and evaluation—not venture capital firms.
Features
- Off-the-shelf dataset catalog spanning pre-training, post-training, RL, video, documents, and global web text
- Delivery capacity of exabytes of data and 60T+ corpus-ready tokens
- Custom web scraping infrastructure designed for petabyte- and exabyte-scale capture
- Novel data sourcing techniques for subject-specific and hard-to-find datasets
- Price match guarantee aiming to undercut competitor quotes on equivalent data by 10–20%