Application YC di OnDeck AI

Summer 2025Active

OnDeck AI ha partecipato a Y Combinator nel batch Summer 2025 come azienda B2B. Sotto: cosa fa l'azienda, chi l'ha fondata e la sua application a YC, ricostruita domanda per domanda nel form reale di YC.

Batch YC: Summer 2025
Settore: B2BAnalytics
Dimensione team: 5
Stato: Active
Lanciata: 2025

Founder

Alexander DungateFounder
Sepand DyanatkarFounder

Cosa fa OnDeck AI

OnDeck is the infrastructure layer that makes Vision Language Models accessible and scalable for enterprise. We let organizations instantly find any object, behavior or event, in any footage, without needing to train a model or collect any training data. The Pain: Creating vision models usually takes months: collecting training data, training, then deployment. Worse yet: + it’s often impossible to get enough data for a specific task, and + even the best cv models struggle to generalize across diverse camera setups, workflows and environments. To overcome these blockers, we bet early on the power of VLMs and built a vision engine that can generalize across any task and doesn’t need any training data. We published a NeurIPS workshop paper showing our new methods with VLMs beat traditional CV even at niche tasks. Our current customers include: - National Defense Organizations - Robotics Research - Security cameras - Behaviour analysis for port monitoring - Off-shore oil & gas monitoring

Application YC di OnDeck AI, ricostruita

Domanda per Y Combinator

OnDeck AI, batch Summer 2025. Le vere domande del form, risposte da dati pubblici.

Founders2
Company7
Progress7
Idea4
Equity3
Curious2
Batch Preference1

Company

Company name

OnDeck AI

Describe what your company does in 50 characters or less.

Analyze any footage, no training needed

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

We built an AI platform that lets enterprises search any video footage instantly for objects, behaviors, or events. Unlike traditional computer vision, OnDeck AI doesn't require training models or gathering training data. We use Vision Language Models to handle any footage directly, making video analysis faster and scalable across different camera setups and environments.

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

We live in Vancouver, BC, Canada, and plan to keep the company based there after YC.

Explain your decision regarding location.

Our team is all local to Vancouver where we built the company. We have the talent and infrastructure here to grow efficiently without needing to relocate.

21 risposte in più nell'application completa

Founders, Progress, Idea, Equity, Curious, Batch Preference sono nella versione completa. Crea un account gratuito per aprirla in YC Insights, accanto a ogni altro batch YC.

Vedi domanda completa

Domande Frequenti

Questa è l'application YC reale di OnDeck AI?

No. Y Combinator mantiene private le application inviate. Questa è una ricostruzione: le domande del form YC reale, a cui si è risposto usando i dati pubblici di OnDeck AI (note di lancio, background dei founder, descrizione del prodotto). Mostra come un'azienda come OnDeck AI si presenterebbe a YC, non il testo che hanno inviato.

A quale batch YC apparteneva OnDeck AI?

OnDeck AI apparteneva al batch Summer 2025 di Y Combinator.

Chi ha fondato OnDeck AI?

OnDeck AI è stato fondato da Alexander Dungate, Sepand Dyanatkar.

Cosa fa OnDeck AI?

Analyze any footage, without training a model

Come leggo la ricostruzione completa della application?

Crea un account Round Funded gratuito. La versione completa di 26 risposte della application di OnDeck AI, e di ogni altro batch YC, è in YC Insights.