Prox YC-Bewerbung
Prox durchlief Y Combinator im Fall 2025-Batch als ein B2B-Unternehmen. Unten: Was das Unternehmen tut, wer es gegründet hat und seine Bewerbung bei YC, Frage für Frage im echten YC-Formular rekonstruiert.
- YC-Batch
- Fall 2025
- Branche
- B2BRetail
- Teamgröße
- 7
- Status
- Active
- Gestartet
- 2025
Gründer
Dima YanovskyFounder
Gregory MakodzebaFounder
Was Prox tut
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.
Proxs YC-Bewerbung, rekonstruiert
Y Combinator Bewerbung
Prox, Fall 2025 Batch. Die echten Fragen des Antrags, beantwortet aus öffentlichen Daten.
- 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 weitere Antworten in der vollständigen Bewerbung
Founders, Progress, Idea, Equity, Curious, Batch Preference sind in der Vollversion. Erstelle ein kostenloses Konto, um es in YC Insights neben jedem anderen YC-Batch zu öffnen.
Häufig gestellte Fragen
Ist das die echte YC-Bewerbung von Prox?
Nein. Y Combinator hält eingereichte Bewerbungen privat. Dies ist eine Rekonstruktion: die echten Fragen des YC-Formulars, beantwortet aus den öffentlichen Daten von Prox (Veröffentlichungsnotizen, Gründerhintergründe, Produktbeschreibung). Sie zeigt, wie sich ein Unternehmen wie Prox bei YC präsentieren würde, nicht den Text, den sie eingereicht haben.
In welchem YC-Batch war Prox?
Prox war Teil des Y Combinator Fall 2025-Batches.
Wer hat Prox gegründet?
Prox wurde von Dima Yanovsky, Gregory Makodzeba gegründet.
Was macht Prox?
AI technical support for complex physical products
Wie lese ich die vollständige, rekonstruierte Bewerbung?
Erstelle ein kostenloses Round Funded Konto. Die vollständige 26-Antwort-Version der Bewerbung von Prox, und jede andere YC-Kohorte, findest du in YC Insights.
