Moss YC Application

Fall 2025Active

Moss went through Y Combinator in the Fall 2025 batch as a B2B company. Below: what the company does, who founded it, and its application to YC, reconstructed question by question in the real YC form.

YC batch: Fall 2025
Industry: B2B
Team size: 5
Status: Active
Launched: 2025

Founders

Sri Raghu MalireddiFounder
Harsha NalluruFounder

What Moss does

Moss is building the real-time semantic search runtime for conversational and multimodal AI. Our system enables voice agents, copilots, and chat interfaces to retrieve, reason, and respond in sub-10 ms, delivering the responsiveness that makes AI interactions feel truly natural. If you’ve ever built a conversational or voice AI product, you’ve felt the lag. That moment when an agent pauses and the illusion of intelligence breaks. The bottleneck is almost always retrieval. Each query hops across networks and databases, adding delay and cost. Moss eliminates that gap by keeping retrieval close to where the agent runs. Moss runs natively across browsers, mobile devices, and servers with an optimized vector index built in Rust and WebAssembly. It enables teams to build AI products that feel instant, contextual, and adaptive. The experiences that sustain engagement and unlock new kinds of interaction. For our customers, this translates into tangible business value: stronger user retention, higher conversion, and entirely new product categories made possible by real-time understanding. Moss is already powering production pilots across voice AI and developer platforms, achieving sub-10 ms retrieval and 70 - 90% token savings compared to traditional pipelines.

Moss's YC application, reconstructed

Y Combinator application

Moss, Fall 2025 batch. The real form questions, answered from public data.

Founders2
Company7
Progress7
Idea4
Equity3
Curious2
Batch Preference1

Company

Company name

Moss

Describe what your company does in 50 characters or less.

Real-time semantic search for Conversational AI

What is your company going to make? Please describe your product and what it does or will do.

We're building Moss, a semantic search runtime that runs in sub-10 ms for conversational and multimodal AI. It powers voice agents, chatbots, and copilots by handling retrieval locally to eliminate network delays that kill responsiveness. Our product runs across browsers, mobile, and servers using a fast vector index built in Rust and WebAssembly, enabling AI interactions that feel instant and natural rather than laggy.

Where do you live now, and where would the company be based after YC?

We live in San Francisco, CA and plan to keep the company based here after YC.

Explain your decision regarding location.

San Francisco has the right technical talent and developer ecosystem for building developer tools and AI infrastructure like Moss. Being here keeps us close to early customers and talent.

21 more answers in the full application

Founders, Progress, Idea, Equity, Curious, Batch Preference are in the full version. Create a free account to open it in YC Insights, next to every other YC batch.

See full application

Frequently Asked Questions

Is this the real Moss YC application?

No. Y Combinator keeps submitted applications private. This is a reconstruction: the real YC form questions, answered from Moss's public data (launch notes, founder backgrounds, product description). It shows how a company like Moss would present itself to YC, not the text they submitted.