Candidature YC de Prox
Prox a été sélectionné par Y Combinator dans le cadre du batch Fall 2025 en tant qu'entreprise B2B. Ci-dessous : ce que fait l'entreprise, qui l'a fondée, et sa candidature à YC, reconstruite question par question dans le vrai formulaire YC.
- Batch YC
- Fall 2025
- Secteur d'activité
- B2BRetail
- Taille de l'équipe
- 7
- Statut
- Active
- Lancé
- 2025
Fondateurs
Dima YanovskyFounder
Gregory MakodzebaFounder
Ce que fait Prox
Every product ever sold needs support at some point. That support falls into one of two buckets. Bucket 1: Simple stuff. T-shirts, screen protectors, keyboards. You buy it, it shows up, maybe you ask “where's my order?” once. This is solved. Zendesk and a hundred other horizontal companies solved it. Bucket 2: Hard stuff. $20,000 industrial heaters. HVAC systems. CNC machines. Car parts. Products where buying wrong means your building doesn't have heat or your manufacturing line is down. Support for these products can only be performed by highly trained domain specialists and there aren't enough of them. If you're selling EV charging stations, your support person needs to be a certified electrician who understands local power grids, installation codes, and compatibility matrices. You can't hire this off the street. You can't outsource it overseas. You'd think LLMs would have solved this by now. They haven't. Three years into the LLM era, penetration in this industry is very low & the reason is twofold. First, off-the-shelf models don't actually understand these products. The knowledge lives in 48-page technical manuals buried on some manufacturer's website in terrible formatting - wiring schematics, compatibility matrices, installation diagrams that can only make sense visually. A general-purpose LLM can't draw you the diagram showing how to connect terminal A to terminal B. It doesn't have the spatial understanding or the product-specific reasoning to be a real technical advisor. So companies still rely entirely on human experts. Second, even if the models were good enough, there are no harnesses to make them useful in the business. No engine to capture deep technical knowledge about complex physical products and keep it updated. No way for a company to offload tribal knowledge from their senior technicians into a system. No way to see what questions customers are actually asking and feed that back into the knowledge base. No generative multimodal presentation and no expressive voice support. Prox is building the best technical product expert for extremely complicated physical products. A multimodal agent that can draw wiring schemes, share CAD models, process incoming videos from a technician in the field, and support people over the phone with voice that can pass the Turing test. To get there, we're solving multimodal knowledge graph building at a very deep level. A huge portion of your work will be developing SOTA knowledge engines that can truly understand complex physical products.
Candidature YC de Prox, reconstruite
Candidature Y Combinator
Prox, promotion Fall 2025. Les vraies questions de candidature, répondues à partir de données publiques.
- Founders2
- Company7
- Progress7
- Idea4
- Equity3
- Curious2
- Batch Preference1
Company
Prox
AI technical support for complex products
We're building a multimodal AI agent that acts as a technical support expert for complicated physical products. It can interpret wiring diagrams, CAD models, and videos from field technicians, and support users through voice interaction. This goes beyond generic support tools by deeply understanding complex manuals and the spatial and technical reasoning required to advise on products like industrial heaters, EV chargers, or CNC machines.
We live in San Francisco, CA, and will base Prox here after YC.
San Francisco is where we and most of our early team are based. It's also the center of AI talent and customer demand for high-tech B2B products, so we get to build and sell from here.
21 réponses supplémentaires dans la candidature complète
se trouvent dans la version complète. Créez un compte gratuit pour l'ouvrir dans YC Insights, à côté de tous les autres batches YC.
Questions fréquemment posées
Est-ce la vraie candidature YC de Prox ?
Non. Y Combinator garde les candidatures soumises privées. Ceci est une reconstruction : les vraies questions du formulaire YC, répondues à partir des données publiques de Prox (notes de lancement, parcours des fondateurs, description du produit). Cela montre comment une entreprise comme Prox se présenterait à YC, pas le texte qu'ils ont soumis.
À quel batch YC Prox appartenait-il ?
Prox faisait partie du batch Fall 2025 de Y Combinator.
Qui a fondé Prox ?
Prox a été fondé par Dima Yanovsky, Gregory Makodzeba.
Que fait Prox ?
AI technical support for complex physical products
Comment lire la candidature complète reconstruite ?
Créez un compte Round Funded gratuit. La version complète de la candidature de Prox en 26 réponses, et de chaque autre promotion YC, se trouve dans YC Insights.
