PARES AI logo

PARES AI

Helping commercial real estate brokers find and close more deals.

Summer 2025active2025Website
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Report from 18 days ago

What do they actually do

PARES AI is a web platform for commercial real estate brokers that combines a live property database, an inter‑connected CRM, outreach tools, and AI agents that draft underwriting and marketing materials. The site shows seat‑based plans with features like property updates/alerts, contact and pipeline management, and AI tools for OMs and BOVs in one place PARES product/pricing YC profile.

A typical workflow is: build target property lists, enrich contacts and run calling sequences (dialer and skip‑trace are paid add‑ons), track activity in the built‑in CRM, use an AI underwriting agent to produce a preliminary valuation, and generate offering memorandums/BOVs with AI that fills branded templates. Team sharing and pipeline workflows are available on the Pro plan PARES pricing PARES product launch video.

They monetize via monthly per‑user subscriptions (Basic and Pro) with listed pricing and sell optional add‑ons (loan data, dialer with AI voicemails, skip‑tracing) shown on their pricing page PARES pricing.

Who are their target customer(s)

  • Solo commercial broker: Loses time switching between property lists, spreadsheets, and a separate CRM, and struggles to produce fast, client‑ready valuations and marketing materials. PARES combines database, CRM, and AI underwriting/marketing tools to reduce tool switching PARES product/pricing YC profile.
  • Small brokerage team lead (2–10 agents): Limited visibility and inconsistent workflows across agents; hard to standardize pipelines or share branded collateral. PARES offers team features, pipeline workflows, and shared templates aimed at brokerages PARES pricing.
  • Business development / cold‑outreach specialist: Spends hours cleaning contact data, ordering skip‑traces, and dialing manually, which reduces outreach volume and follow‑up. PARES sells dialer and skip‑trace add‑ons to speed enrichment and calling sequences PARES pricing.
  • Deal underwriter or senior broker: Builds ad‑hoc models and comps by hand, delaying go/no‑go decisions on leads. PARES highlights an AI Underwriting Agent to produce initial underwriting and assumptions faster launch video PARES product.
  • Marketing/transaction coordinator: Juggles branding, data entry, and formatting for each listing; turnaround is slow and quality varies. PARES promotes AI agents that auto‑fill OMs, BOVs, and branded presentations PARES product/pricing launch video.

How would they acquire their first 10, 50, and 100 customers

  • First 10: Founders sell directly to known CRE brokers via personal networks and YC intros, offering a discounted 3–6 month pilot with hands‑on onboarding (data import, templates, live walkthroughs) to reduce switching friction PARES pricing YC profile.
  • First 50: Run targeted outbound to solo brokers and small teams via LinkedIn and curated email lists; host weekly live demos showing AI underwriting and OM generation on real deals; convert with time‑limited pricing and referral credits PARES product launch video.
  • First 100: Partner with local brokerage associations, listing services, and CRE newsletters for co‑sponsored workshops and bundles; roll out a repeatable onboarding playbook and self‑serve trial; upsell add‑ons (dialer, skip‑trace, loan data) after teams are live PARES pricing.

What is the rough total addressable market

Top-down context:

There are an estimated 143,000 commercial real estate brokers in the U.S., providing a sense of the practitioner base that buys brokerage software and data Vertical IQ. For additional context on industry software/data spend, CoStar’s core information product alone generated about $1.2B in 2024 revenue, underscoring that brokers collectively spend billions on CRE data and tools Speedwell Research.

Bottom-up calculation:

Assuming 143,000 U.S. CRE brokers as potential seats and a blended $1,800 per user per year (midpoint of PARES’ listed seat pricing plus some add‑on uptake), U.S. TAM ≈ 143,000 × $1,800 ≈ $257M annually Vertical IQ PARES pricing.

Assumptions:

  • Focus is U.S. CRE brokers/agents only; excludes global markets and adjacent roles (owners, lenders).
  • Blended ARPU estimated at ~$1,800/year based on PARES’ listed $75–$200/user/month tiers plus partial add‑on attach PARES pricing.
  • TAM assumes 100% of counted CRE brokers are serviceable for a seat; actual serviceable market may be smaller due to incumbents and non‑buyers.

Who are some of their notable competitors

  • CoStar Group / LoopNet: Incumbent marketplace and research stack used for listings and market data. Overlaps on property records and listing exposure; differs by focusing on marketplace reach and paid research rather than an all‑in‑one broker CRM with built‑in AI agents LoopNet.
  • Reonomy: Property and owner‑contact data for prospecting and owner discovery. Overlaps on searchable property/owner data; differs by focusing on large‑scale datasets rather than bundling CRM, dialer, and automated OM/BOV generation in one product Reonomy.
  • CREXi: Listings marketplace with broker tools for lead capture, email campaigns, and pipeline tracking. Overlaps on listings, lead management, and prospecting; differs by emphasizing marketplace exposure and listing‑centric lead generation CREXi broker plans.
  • Buildout: CRE marketing automation for OMs, flyers, branded sites, and templates. Directly competes with PARES’ OM/marketing features; differs by being primarily a marketing/docs tool rather than a unified database + CRM + calling stack Buildout.
  • Dealpath: Deal management and pipeline platform for institutional CRE teams. Overlaps on pipeline/underwriting workflows; focuses on larger investment teams and approvals vs. PARES’ seat‑priced platform for brokers and small teams Dealpath.