Surge
Data labeling platform for NLP
About Surge
Surge AI is a data labeling and RLHF (Reinforcement Learning from Human Feedback) platform designed to help organizations build and improve machine learning systems through high-quality human-annotated data.
Pitch deck breakdown
How Surge would pitch themselves.
Target customer
Companies + developers adopting AI in their stack — from indie builders to enterprise ML teams working on data labeling platform for nlp.
Problem they solve
Surge AI is a data labeling and RLHF (Reinforcement Learning from Human Feedback) platform designed to help organizations build and improve machine learning systems through high-quality human-annotated data. The category has historically been served by tools that miss the modern workflow this product is built around.
Key differentiator
Surge differentiates on data labeling platform for nlp. $0 raised — the company has resources + validation to compound this thesis.
Go-to-market strategy
Series-A scaling stage — building outbound sales motion, hiring first AEs, layering on customer success. Mix of PLG (where the product allows) + direct sales for higher-ACV deals.
Surge website preview
Company facts
- Category
- AI
- Funding stage
- Series A
- Total raised
- $0
- Founded
- 2020
- Team size
- 51–200
- HQ
- San Francisco, United States
- Country
- United States
- Website
- surgehq.ai
Frequently asked questions
What does Surge do?
Surge AI is a data labeling and RLHF (Reinforcement Learning from Human Feedback) platform designed to help organizations build and improve machine learning systems through high-quality human-annotated data.
Where is Surge based?
Surge is based in San Francisco, United States, United States.
When was Surge founded?
Surge was founded in 2020.
How much has Surge raised?
Surge has raised $0 in their Series A round.