PLAN0 AI GTM brain

PLAN0 converts architectural drawings into construction cost estimates and decision analytics for developers, investors and general contractors.

category

Construction cost intelligence

market profile

  • text: Early development decisions require cost assumptions before full estimating, while volatile materials and design changes can undermine proformas.
  • text: AI takeoff and estimating tools span rapid plan-based estimates and established preconstruction workflows, with differing data and workflow coverage.

personas

  • title: Real estate development director
    pains:
    • Must compare acquisitions and design options before firm contractor bids exist
    • Cost escalation may make a development proforma unviable by groundbreaking
  • title: Real estate investment underwriting lead
    pains:
    • Construction assumptions in investment committee memos are hard to independently verify
    • Portfolio and replacement-cost comparisons take manual research
  • title: General contractor preconstruction director
    pains:
    • Early bids consume scarce senior estimator time
    • Clients seek design savings before trade procurement

icp

  • text: Developers and real estate investors underwriting recurring ground-up projects, particularly larger multifamily or commercial buildings; the site demonstrates a 30-storey condo.
  • text: General contractors with active preconstruction teams and repeat bid opportunities where early design cost feedback matters.

message pillars

  • text: Convert plan sets into priced buildings.
  • text: Accelerate the initial estimate.
  • text: Use cost intelligence to guide early decisions.

objections

  • objection: Can an AI estimate support an investment decision?
    response: Benchmark quantities and assumptions against a completed project and an experienced estimator before using it for a binding decision.
  • objection: Does the data cover our geography and building type?
    response: Review local price sources and test a representative project; public materials do not establish detailed geographic coverage.
  • objection: How much does it cost?
    response: Request a quote and compare expected savings against project volume; public pricing is not disclosed.

competitors

  • name: Togal.AI
    why: AI-assisted construction takeoff and estimating from plans.
  • name: Ediphi
    why: Preconstruction estimating and cost workflows for general contractors.
  • name: MeltPlan
    why: AI preconstruction software competing for early estimating work.

influencers

  • name: Arash Barati
    url: https://standout.work/companies/81fc87ea-d4c5-44a7-a8ae-0e18a824e804
    why: Co-founder with commercial real estate development and investment experience.

keywords

  • AI construction cost estimating
  • architectural plans cost estimate
  • construction cost forecasting
  • real estate development proforma costs
  • preconstruction value engineering
  • construction takeoff software

voice

  • Direct and decision oriented
  • Quantitative and visually demonstrative

signals

  • text: A developer is underwriting new acquisitions or revising unit mix before construction.
  • text: A general contractor is handling a high volume of preliminary bids and needs early cost feedback.

pricing

model: unknown

motion

sales_led

channels

  • YC directory
  • website demo

confidence

medium

Founders

  • name: Arash Barati
    title: Founder/CEO
    role: CEO
    bio: Co-Founder & CEO at Plan0 AI. 12 years in real estate private equity, development, and lending ($7B+ of real estate projects). Columbia MSc + ex adjunct professor.
  • name: Shervin Barati
    title: Founder/CTO
    role: CTO
    bio: Co-founder & CTO at Plan0 AI. Former Apple engineering manager (8 years), leading development of hearing health features for AirPods. Roboticist at heart (Engineering Science - Robotics, University of Toronto).
  • name: Dimitris Pagonakis
    title: Founder
    role: Founder
    bio: Co-founder of Plan0 AI. Lead data & analytics. Former PM at Point72, ex-Citadel. MIT. Building a real-time construction cost engine using ML to predict pricing and attribute cost drivers across micro + macro data.

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