PARES AI
AI platform for CRE brokers: lead sourcing to deal closing
Website: https://www.pares.ai
Cover Block
| Attribute | Value |
|---|---|
| Company Name | PARES AI |
| Tagline | AI platform for CRE brokers: lead sourcing to deal closing [extruct.ai, 2025] |
| Headquarters | Pasadena, CA, USA [Y Combinator, 2025] |
| Founded | 2025 [PitchBook, 2026] |
| Stage | Seed [extruct.ai, 2025] |
| Business Model | SaaS |
| Industry | Proptech |
| Technology | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Solo Founder |
| Funding Label | Undisclosed (total disclosed ~$1,000,000) [extruct.ai, 2025] |
Links
- Website: https://www.pares.ai
- LinkedIn: https://www.linkedin.com/company/pares-ai
- YouTube: https://www.youtube.com/watch?v=_LA9YHCv-js
Summary and Signal
PARES AI is an early-stage Y Combinator-backed startup building an integrated software platform for commercial real estate brokers, using artificial intelligence to automate workflows from lead generation to deal closing [Y Combinator, 2025]. The company, founded in 2025 by solo founder Zihao Wang, addresses a market where manual research and fragmented tools dominate, positioning its AI agents for seller recommendations and underwriting as a wedge [extruct.ai, 2025]. The core product combines prospecting, deal tracking, underwriting, and marketing automation to consolidate a broker's toolkit [Y Combinator, 2025].
The company's disclosed traction consists of a single, unverified revenue figure of $440,000 reported for September 2025 [getlatka.com, Sep 2025]. PARES AI has raised an estimated $1 million in a seed round, with Y Combinator as the only publicly confirmed investor [extruct.ai, 2025].
Data Accuracy: YELLOW -- Core company description corroborated by multiple sources; key traction and team details rely on limited or single-source reporting.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Seed |
| Business Model | SaaS |
| Industry / Vertical | Proptech |
| Technology Type | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Solo Founder |
| Funding | Undisclosed (total disclosed ~$1,000,000) |
Company Overview
PARES AI was founded in 2025 by solo founder Zihao Wang, launching as a participant in the Y Combinator S25 batch [Y Combinator, 2025]. The company is headquartered in Pasadena, California, at 2820 East California Boulevard [extruct.ai, 2025]. The founding narrative centers on streamlining the historically manual workflows of commercial real estate brokerage through an integrated AI platform.
The primary public event is its Y Combinator launch, which includes a public launch video and company listing [YouTube, 2025] [Y Combinator, 2025]. The company closed a seed funding round in 2025, raising $1 million [extruct.ai, 2025]. A revenue figure of $440,000 was reported for September 2025 by a single third-party source [getlatka.com, Sep 2025].
Data Accuracy: YELLOW -- Core founding and location data confirmed by YC and company aggregator; funding amount corroborated by one source; revenue figure is single-source and unverified.
The Product and the Stack
The product is an integrated workflow platform. PARES AI presents a suite of AI agents and automation tools designed to address specific, time-consuming tasks across the commercial real estate brokerage lifecycle [extruct.ai, 2025]. The platform's stated goal is to consolidate functions that typically require multiple software subscriptions and manual data entry into a single environment.
Its core features target three primary workflow stages. For lead generation, the platform includes AI Likely Seller Recommendations and skip-tracing capabilities [extruct.ai, 2025]. For deal analysis, an AI Underwriting Agent is offered to assist with financial modeling and valuation [extruct.ai, 2025]. For marketing and closing, the company lists Automated OM/BOV Generation for creating offering memorandums and brochures [extruct.ai, 2025]. A company overview also mentions a CRM with real-time transaction data and an AI Marketing Maker [extruct.ai, 2025].
Data Accuracy: YELLOW -- Product claims are consistently described across the company's Y Combinator profile and third-party aggregators, but lack independent user validation or detailed technical corroboration.
The Market They Are Entering
The commercial real estate brokerage market represents a large, fragmented, and historically inefficient service layer. The broader U.S. commercial real estate brokerage and services market was valued at approximately $109 billion in 2023 [IBISWorld, 2023].
| Metric | Value |
|---|---|
| U.S. CRE Brokerage & Services Market (2023) | $109B |
Data Accuracy: YELLOW -- Market sizing figure is from an analogous, broader industry report [IBISWorld, 2023]; no specific TAM for the company's product category is publicly available.
The Competitive Field
PARES AI enters a commercial real estate technology market defined by established, category-specific incumbents and a growing wave of AI-native challengers. Incumbent platforms like CoStar Group, and CRE-specific CRM and deal management tools like RealNex and Apto, represent the entrenched alternatives. A newer wave of challengers includes AI-driven analytics and prospecting startups such as Cherre and Skyline AI. PARES AI's positioning as an "all-in-one" platform suggests it competes across these segments by bundling capabilities that are typically purchased separately.
Data Accuracy: YELLOW -- Competitive analysis is inferred from product claims and market category; no direct competitor citations are available.
Opportunity
If PARES AI can successfully embed its workflow automation into the daily operations of commercial real estate brokers, it stands to capture a meaningful share of the software spend in a multi-trillion-dollar asset class. The company's positioning as an "all-in-one AI platform" covering the full deal lifecycle suggests a platform play [extruct.ai, 2025]. Brokers reportedly spend up to 95% of their time on research and administrative tasks [extruct.ai, 2025].
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Brokerage Franchise Adoption | A major national or regional CRE franchise signs a master agreement to roll out PARES AI. | A successful pilot with a top-producing team. | The Y Combinator network provides access to decision-makers. |
| Data Network Effect | The platform's value shifts from workflow tools to proprietary market intelligence. | The launch of a "Market Pulse" or analytics module. | The product roadmap includes AI-driven recommendations based on transaction data [extruct.ai, 2025]. |
| Vertical Expansion into Investing | The toolset expands beyond brokerage to serve the buy-side directly. | The introduction of fund management or portfolio monitoring features. | The platform is marketed to both "brokers and investors" [Y Combinator, 2025]. |
Data Accuracy: YELLOW -- Opportunity analysis is based on cited product capabilities and market logic; specific growth catalysts and comparable valuations are extrapolated from public positioning.
Sources
- [extruct.ai, 2025] PARES AI hub | https://www.extruct.ai/hub/pares-ai/
- [Y Combinator, 2025] PARES AI: Helping commercial real estate brokers find and close more deals. | https://www.ycombinator.com/companies/pares-ai
- [YouTube, 2025] PARES AI launch video | https://www.youtube.com/watch?v=_LA9YHCv-js
- [PitchBook, 2026] PARES AI 2026 Company Profile | https://pitchbook.com/profiles/company/898234-03
- [getlatka.com, Sep 2025] How PARES AI hit $440K revenue | https://getlatka.com/companies/pares.ai
- [IBISWorld, 2023] U.S. Commercial Real Estate Brokerage & Services Industry Report | https://www.ibisworld.com/united-states/market-research-reports/commercial-real-estate-brokerage-services-industry/
- [LinkedIn, 2026] PARES (YC S25) | https://www.linkedin.com/company/pares-ai
Articles about PARES AI
- PARES AI's $1 Million Seed Bet Automates the Broker's Underwriting and Pitch — The Y Combinator-backed startup aims to compress the commercial real estate deal cycle from lead sourcing to closing with a single AI platform.