
Datasaur
Datasaur builds a data labeling workforce management platform for NLP.
Livermore, United States · Founded 2019
- Headquarters
- Livermore, California
- Employees
- 51–200
- Founded
- 2019
- Business Model
- B2B
- Website
- datasaur.ai
- Last Round
- SeedAug 2023
- Rounds
- 3
About
Datasaur builds intelligent, optimized, human-centric LLM/NLP tools. If you're still using Excel or maintaining your own in-house tools, Datasaur can offer you significant cost-savings and improve the quality of your training data. We provide tools custom-built for power users. Our built-in intelligence helps augment your human labelers and avoid costly mistakes; our workforce management tool allows you to assign projects to and cross-validate the results from multiple labelers to ensure you can train your models with the utmost confidence. I have 10 years of consumer product experience. I'd be happy to help discuss product strategy and gamification. I'd love to get any advice you have to offer on SaaS and enterprise sales.
Summary
Datasaur is an Artificial Intelligence company based in Livermore, United States, founded in 2019. Its most recent funding was a Seed round in Aug 2023. Investors include Initialized Capital, HNVR and Gold House Ventures.
Tech & App Stack
5 technologies & apps tracked
Create a free account — 10 credits a month to unlock the full tech & app stack, funding history, and valuations.
Sign up to view the funding chart
Create a free account — you'll get 10 credits a month to unlock funding history, valuations, and tech stacks.
Funding History
Aug 2023
Sign up to see all 3 rounds
Full funding history, per-round amounts, and investor participation.
Investors
Similar Companies
Cursor is the best way to code with AI, and built to make you extraordinarily productive.
AI pioneer startup that could make it big in 2026
Provides AI inference hardware and cloud platform for enterprises, using RDUs and SambaCloud to r...

UiPath is an AI-enhanced end-to-end automation platform.
ML inference infrastructure for deploying and serving AI models at scale, performantly and cost-e...

AI hardware company building wafer-scale processors for deep learning training and inference

