
Заявка Prox в YC
Prox прошел Y Combinator в потоке Fall 2025 как компания из сферы B2B. Ниже: чем занимается компания, кто ее основал, и ее заявка в YC, реконструированная вопрос за вопросом в реальной форме YC.
- Поток YC
- Fall 2025
- Сфера
- B2BRetail
- Размер команды
- 7
- Статус
- Active
- Запущено
- 2025
Фаундеры
Dima YanovskyFounder
Gregory MakodzebaFounder
Чем занимается 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.
Заявка Prox в YC, реконструирована
Заявка Y Combinator
Prox, батч Fall 2025. Реальные вопросы из анкеты, ответы из публичных данных.
- 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 еще ответ в полной заявке
Founders, Progress, Idea, Equity, Curious, Batch Preference находятся в полной версии. Создайте бесплатную учетную запись, чтобы открыть ее в YC Insights, рядом с каждым другим потоком YC.
Часто задаваемые вопросы
Это реальная заявка Prox в YC?
Нет. Y Combinator держит поданные заявки в приватности. Это реконструкция: реальные вопросы формы YC, ответы на которые основаны на публичных данных Prox (заметки о запуске, бэкграунд фаундеров, описание продукта). Это показывает, как компания вроде Prox представила бы себя YC, а не текст, который они подали.
В каком потоке YC был Prox?
Prox был частью потока Y Combinator Fall 2025.
Кто основал Prox?
Prox был основан Dima Yanovsky, Gregory Makodzeba.
Что делает Prox?
AI technical support for complex physical products
Как мне прочитать полную реконструированную заявку?
Создай бесплатный аккаунт Round Funded. Полная 26-ответная версия заявки Prox и каждой другой партии YC доступна в YC Insights.