Prox

Aplicación YC de Prox

Fall 2025Active

Prox pasó por Y Combinator en el batch Fall 2025 como una empresa de B2B. Abajo: qué hace la empresa, quién la fundó y su aplicación a YC, reconstruida pregunta por pregunta en el formulario real de YC.

Batch YC
Fall 2025
Industria
B2BRetail
Tamaño del equipo
7
Estado
Active
Lanzado
2025

Fundadores

  • Dima Yanovsky
    Dima YanovskyFounder
  • Gregory Makodzeba
    Gregory MakodzebaFounder

Lo que hace 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.

Aplicación YC de Prox, reconstruida

Solicitud de Y Combinator

Prox, batch Fall 2025. Las preguntas reales del formulario, respondidas con datos públicos.

  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 respuestas más en la aplicación completa

están en la versión completa. Crea una cuenta gratuita para abrirla en YC Insights, junto a cada otro batch de YC.

Preguntas Frecuentes

¿Es esta la aplicación YC real de Prox?

No. Y Combinator mantiene privadas las aplicaciones enviadas. Esta es una reconstrucción: las preguntas reales del formulario de YC, respondidas a partir de los datos públicos de Prox (notas de lanzamiento, antecedentes de fundadores, descripción del producto). Muestra cómo una empresa como Prox se presentaría a YC, no el texto que enviaron.

¿En qué batch de YC estuvo Prox?

Prox formó parte del batch Fall 2025 de Y Combinator.

¿Quién fundó Prox?

Prox fue fundado por Dima Yanovsky, Gregory Makodzeba.

¿A qué se dedica Prox?

AI technical support for complex physical products

¿Cómo leo la aplicación completa reconstruida?

Crea una cuenta gratuita de Round Funded. La versión completa de 26 respuestas de la aplicación de Prox, y de cada otro batch de YC, está en YC Insights.

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