- Specialization
- Not classified
- Business
- Software Applications
- Market
Manufacturingand 2 more market valuesLess
- Agriculture
- Construction
- Ecosystem
- Not classified
- Customers
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Not classified
- Business
- Software Applications
- Specialization
- Not classified
- Market
- Manufacturing, Agriculture, Construction
- Customers
- Enterprises
- Delivery models
- Hosted Software, API
- Revenue models
- Subscription, Usage Based
- Listing status
- Not classified
- Latest equity round
- Seed
- Reported funding amount
- Not classified
About
Prox builds AI product specialists for manufacturers of complex physical products, turning manuals and product knowledge into cited answers and visual guidance. Its software supports customers, dealers, support teams, and engineers across product pages, dealer portals, Slack, internal tools, ChatGPT, and Claude, with a focus on industries such as powersports, agriculture, HVAC, firearms, and construction equipment.
Market
Prox competes in vertical B2B AI support and product-knowledge software for manufacturers of complex physical goods, rather than in generic customer-service automation alone. It differentiates through product-specific knowledge graphs, manual-grounded answers cited to source pages, visual and multimodal assistance, and deployment across customer, dealer, and internal service channels; Neuron7 and Circuitry AI are the closest specialized comparables, while Zendesk represents the horizontal support-suite baseline.
Prox targets primarily mid-market and enterprise manufacturers of complex physical products, especially companies in powersports, agriculture, HVAC, industrial equipment, construction equipment, refrigeration, hydraulics, and related sectors. Its likely buyers and users are customer-support, technical-service, dealer-operations, product, engineering, and field-service leaders that manage large product catalogs, manuals, dealer networks, and technician workflows.
At a Glance
Problem
Manufacturers of complex physical products struggle to make technical product knowledge usable at the moment of purchase, installation, or repair. The hardest cases involve products such as industrial heaters, HVAC systems, CNC machines, EV chargers, and car parts, where choosing or installing the wrong component can leave a building without heat or halt a manufacturing line. The expertise required is scarce and difficult to outsource, while the relevant answers remain buried in badly formatted manuals, wiring schematics, compatibility matrices, and installation diagrams that general-purpose AI cannot reliably interpret.
The economic pain is lost deals, slower service, overloaded dealers and customer-service teams, and valuable know-how leaving with experienced technicians. The clearest killer use case is field or dealer support: a technician describes a symptom or uploads a photo and gets a source-cited diagnosis and fix in minutes. Prox also targets the pre-sales version of the problem, replacing a week of email back-and-forth with product configuration, sizing, and quoting tools.
Product / Service
Prox provides an AI product specialist for manufacturers. It ingests manuals, specification sheets, installation guides, fitment tables, and related product knowledge, then turns that material into grounded answers cited to the source page. Its product-specific experiences include visual troubleshooters, product selectors, sizing calculators, and configuration tools rather than generic text-only chat.
The specialist is delivered across the surfaces where product questions already arise: a product-page widget, dealer tablet, internal service or team workspace, Slack or Teams, and AI tools such as ChatGPT and Claude through MCP. Prox says manufacturers can provision a dedicated tenant, upload documents or provide URLs to crawl, and go live across those surfaces quickly. Its published commercial model is a 30-day free trial followed by a flat $2,000-per-month plan covering up to 10,000 indexed pages and 10,000 messages, with no per-seat or escalation charges.
Market
Prox competes in vertical AI software for technical support, product discovery, and service enablement in manufacturing and other complex-physical-product industries. It is positioned against horizontal customer-support platforms such as Zendesk for the harder cases those platforms do not address, and adjacent industrial-service AI such as Aquant, which focuses on improving equipment-service efficiency and troubleshooting. Prox’s stated target sectors include powersports, agriculture, HVAC, firearms, construction equipment, and related manufacturing categories.
The company appears early and pre-scale rather than supported by publicly demonstrated revenue metrics. Its site showcases live product examples involving powersports, concrete formwork, heat exchangers, and outdoor power equipment, and advertises a paid plan, but the available evidence does not disclose revenue, paid-customer counts, or deployment volume. Prox was founded in 2025, is a Fall 2025 Y Combinator company with seven employees in San Francisco, and says it is backed by Y Combinator, Bloomberg Beta, and investors from OpenAI and Microsoft; those are meaningful early traction signals, but public materials do not establish whether it is revenue-generating.
Founders & Leadership
Funding History
Y Combinator
Recent News
In a September 13 YC launch post, Prox said its AI agents were live in production at ShipBob, automating carrier claims for lost-in-transit packages. Prox reported that the agents were processing hundreds of claims in parallel and were on track to recover millions in carrier refunds annually.
Built In profiles Prox as an AI product specialist for manufacturers, providing AI-driven technical support for complex physical products.
Y Combinator’s company profile describes Prox as an AI technical-support provider for complex physical products and identifies it as a San Francisco startup founded in 2025.
Active Roles
5Business Model
Prox sells a subscription SaaS product priced at a flat monthly fee, with a 30-day free trial and a listed base price of $2,000 per month. The base plan includes 10,000 indexed pages and 10,000 monthly messages; additional pages and messages are charged at $0.10 each, with deployment across multiple customer and internal surfaces included.