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A91 Partners leads $25m series A in US-based AI startup Deccan
Deccan AI, a Bay Area startup that supplies post-training data and model evaluation, raised US$25 million in an all-equity series A.
The round was led by A91 Partners, with Susquehanna International Group and Prosus Ventures joining.
The company does data generation and evaluation and reinforcement learning tasks for AI model developers and enterprises. It also sells an evaluation suite called Helix plus an operations automation platform.
The company said its customers include Google DeepMind and Snowflake.
Deccan has around 125 employees, with a large operations team in Hyderabad. It relies on a network of over 1 million contributors, mostly in India, with 5,000 to 10,000 active in a typical month.
🔗 Source: TechCrunch
🧠 Food for thought
Implications, context, and why it matters.
The human engine behind today’s most advanced AI
- Deccan AI runs a business that covers a quieter part of the AI supply chain. It organizes large-scale human input for post-training data work and model evaluation 1.
- It offers reinforcement learning tasks (a method that helps models improve based on feedback) for AI model developers and enterprises. The company has said its customers include Google DeepMind 1.
- The work depends on a huge labor pool. Deccan AI manages a network of more than 1 million contributors, mostly in India 1.
- Advanced AI also requires strong people operations. Those teams create training data and handle evaluation at scale 1.
An AI “picks and shovels” market is forming around model development
- Deccan AI raised US$25 million. The round suggests more money is going to the services that improve models, not only to building foundational models 1.
- This supports a “picks and shovels” layer where vendors sell data generation and evaluation work to AI model developers and enterprises 1.
- The company has said its customers include Snowflake 1.
- A large distributed workforce also spreads AI-related labor across borders. It creates a new tier of digital work focused on data generation and model evaluation 1.
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