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super.AI

2193 Fillmore St #32, San Francisco, California, 94115, United States

Overview

Super.AI builds a "data process automation" platform that uses AI (rather than traditional RPA) to label and analyze unstructured data across images, video, text, and audio. Its technology is used for tasks such as e-commerce product quality control, processing video streams, and automatically removing personally identifiable information. The company reports a customer count in the high double digits and declined to provide revenue metrics. Super.AI is a 36-person team, previously known as Canotic, and is based in Berlin; it was previously co-located in Seattle and plans to hire employees there. Leadership includes CEO Brad Cordova; co-founder Henry Setiawan is no longer with the company. The team includes veterans from MIT, AWS, Google, Microsoft, and SAP. The company aims to scale its technology to help large enterprises automate data-heavy workflows. Canotic builds an "AI compiler" that automates the transformation, labeling, and production deployment of machine‑learning workflows for unstructured datasets. Its platform can label complex unstructured data, create real‑time production AI APIs, and produce summaries and insights from sources like meeting audio and drone imagery. The company launched last year and already has a handful of customers across IT, manufacturing, and agriculture. Canotic has fewer than 10 employees today and plans to grow to about 30 in the coming months. Founders include CEO Brad Cordova (who co‑founded TrueMotion during his PhD at MIT) and CTO Henry Setiawan (formerly at Microsoft Research, Google Brain, and BlueKai). The team positions the product as a way to let companies implement AI faster and cheaper without hiring top ML experts.

Total raised
$17M
Funding rounds
2
Latest round
Equity
Latest activity
Jun 2021

Industries

  • Artificial Intelligence (AI)
  • Business Process Automation (BPA)
  • Computer Vision
  • Data Collection and Labeling
  • Document Management
  • Information Technology
  • Machine Learning
  • Natural Language Processing
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Recent funding

  1. Equity

    Jun 2021

    $12M

  2. Seed

    Nov 2018

    $5M

Team