Coactive AI was co-founded by Cody Coleman and William Gaviria Rojas, both of whom have backgrounds in computer science and data science. The company aims to address the challenge of managing large volumes of visual data, a task that is often outsourced to human reviewers or data labeling services. Coactive AI's software can instantly retrieve specific images or videos from a client's library, saving time and resources. The company is also committed to tackling bias in AI and has co-created an image dataset featuring items from households across a range of incomes.
Key takeaways:
- Coactive AI, a startup that uses AI to manage and analyze visual data, has raised $30 million in a Series B funding round led by Emerson Collective and Cherryrock Capital, valuing the company at $200 million.
- The company's software can identify and label images and videos, and has applications in content moderation, eliminating the need for time-intensive human review.
- Coactive AI was founded by Cody Coleman and William Gaviria Rojas, both with strong backgrounds in computer science and AI. The company serves large enterprises outside the tech sector who find it too expensive to build similar tools in-house or pay for manual data labeling providers.
- Coactive AI is also working to tackle bias in AI by creating a diverse image dataset. The company's focus on visual data sets it apart from companies that focus on text-based data.