Prox

Aplikacja Prox do YC

Fall 2025Active

Prox przeszedł przez Y Combinator w batchu Fall 2025 jako firma z branży B2B. Poniżej: czym zajmuje się firma, kto ją założył i jej aplikacja do YC, zrekonstruowana pytanie po pytaniu w prawdziwym formularzu YC.

Batch YC
Fall 2025
Branża
B2BRetail
Wielkość zespołu
7
Status
Active
Wystartowano
2025

Foundersi

  • Dima Yanovsky
    Dima YanovskyFounder
  • Gregory Makodzeba
    Gregory MakodzebaFounder

Czym zajmuje się 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.

Aplikacja Prox do YC, zrekonstruowana

Aplikacja Y Combinator

Prox, batch Fall 2025. Prawdziwe pytania z formularza, odpowiedzi na podstawie danych publicznych.

  1. Founders2
  2. Company7
  3. Progress7
  4. Idea4
  5. Equity3
  6. Curious2
  7. Batch Preference1

Company

Company name

Prox

Describe what your company does in 50 characters or less.

AI technical support for complex products

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

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.

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

We live in San Francisco, CA, and will base Prox here after YC.

Explain your decision regarding location.

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 dodatkowych odpowiedzi w pełnej aplikacji

Są w pełnej wersji. Utwórz darmowe konto, aby otworzyć je w YC Insights, obok każdego innego batcha YC.

Często zadawane pytania

Czy to jest prawdziwa aplikacja Prox do YC?

Nie. Y Combinator utrzymuje prywatność złożonych aplikacji. Jest to rekonstrukcja: prawdziwe pytania z formularza YC, na które odpowiedziano na podstawie publicznych danych Prox (notatki o premierze, tło founderów, opis produktu). Pokazuje, jak firma taka jak Prox przedstawiłaby się YC, a nie tekst, który złożyli.

W jakim batchu YC był Prox?

Prox był częścią Y Combinator batch Fall 2025.

Kto założył Prox?

Prox został założony przez Dima Yanovsky, Gregory Makodzeba.

Czym zajmuje się Prox?

AI technical support for complex physical products

Jak mogę przeczytać pełny zrekonstruowany wniosek?

Załóż darmowe konto Round Funded. Pełna, 26-pytaniowa wersja aplikacji Prox i każdej innej partii YC znajduje się w YC Insights.

Więcej startupów z YC jak Prox