SuperAnnotate builds a low-code platform for creating, labeling, iterating on, and evaluating AI training datasets, initially focusing on labeling software and expanding into fine-tuning and model evaluation tools. The platform lets users connect local and cloud data, collaborate on projects, compare model performance by training data from a dashboard, and deploy models to various environments. It also operates a marketplace of crowdsourced annotators used for data-labeling tasks. The company counts clients such as Databricks and Canva and faces competitors including Scale AI, Weka, and Dataloop. SuperAnnotate was founded by brothers Vahan and Tigran Petrosyan and is San Francisco-based. The startup plans to use new funding to grow its ~100-person team, accelerate product R&D, and expand its roughly 100-company customer base while pursuing deeper customization for enterprise data fine-tuning. SuperAnnotate provides an AI-powered image annotation platform that supports manual labeling, pixel-accurate annotations, workflows, templates, dashboards, status tracking, and communication tools. The platform also helps teams run pilot projects with multiple annotation providers to choose the right partner. Led by CEO Tigran Petrosyan, the product targets data scientists and labeling teams with tools for recognition improvement and image status tracking. Launched this February, the company has already served more than 3,000 data scientists and over 100 companies. SuperAnnotate intends to use the new funding to continue expanding operations and broaden its business reach.

Total raised

$39M

Funding rounds

2

Latest round

Series B

Latest activity

Nov 2024