Soham Ray

Soham Ray is a Research Engineer at Sierra, focused on building conversational AI agents. He has over four years of experience in the customer service AI space, conducting applied research on augmenting and automating task-oriented dialogue systems. He holds a Master’s degree in Computer Science from Cornell University, where he specialized in AI and NLP.

Soham Ray の投稿

The text "τ³-Bench" on a blurry, grainy background of green and brown.

𝜏³-Bench: Advancing agent benchmarking to knowledge and voice

𝜏³-Bench is here. We've expanded agent evaluation to two new frontiers: knowledge retrieval and voice.

2026年3月18日

Gradient mixed colors, voice and global icons

Multilingual voice: building agents that speak to everyone

Multilingual voice agents aren’t just a feature — they’re a bridge to better, more inclusive customer experiences.

2025年10月8日

𝜏²-bench: benchmarking agents in collaborative real-world scenarios

𝜏²-bench challenges AI agents not just to reason and act, but to coordinate, guide, and assist a user in achieving a shared objective. This leap from solo operation to co-ownership of a task pushes agents into a much more demanding space. And, critically, it reflects the kinds of tasks AI agents are increasingly being asked to perform in the real world.

2025年6月10日

Soham Ray

Soham Ray の投稿

𝜏³-Bench: Advancing agent benchmarking to knowledge and voice

Multilingual voice: building agents that speak to everyone

𝜏²-bench: benchmarking agents in collaborative real-world scenarios

Sierraでできることを、ぜひご覧ください

Soham Ray の投稿

𝜏³-Bench: Advancing agent benchmarking to knowledge and voice

Multilingual voice: building agents that speak to everyone

𝜏²-bench: benchmarking agents in collaborative real-world scenarios