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AcquiOS

AcquiOS is an AI-powered acquisitions operating system for commercial real estate teams that converts offering memorandums, T-12s, and rent rolls into validated underwriting models in minutes. The platform extracts data with citation-level sourcing, pressure-tests broker assumptions against market comps, and populates the firm's own Excel and PowerPoint templates, preserving formulas and formatting. It also handles pipeline management, due diligence project management, risk tracking, and IC memo creation across eight integrated capabilities.

Los Angeles, United States · HQ
Founded 202193K+ followers
Updated yesterday

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Commercial real estate acquisition teams are drowning in manual work, spending 5-10 hours to prepare a single investment committee deck and reconciling leases, rent rolls, and ARGUS models for properties with 100+ tenants. Broker emails overwhelm inboxes, and misleading offering memorandums waste analysts' time on deals that never pencil, with inflated rent growth, aggressive cap rates, and understated vacancies going unchecked until late in the process.

Solution

AcquiOS is an AI-powered acquisitions operating system that turns offering memorandums, T-12s, and rent rolls into validated underwriting models in minutes. The platform automatically extracts data with citation-level sourcing, pressure-tests every broker assumption against market comps, comparable sales, and proprietary benchmarks, and populates the firm's own Excel model and PowerPoint deck templates with formulas intact. AcquiOS also screens forwarded broker emails into scored pipeline entries with a PROCEED, CAUTION, or PASS call, manages due diligence across six phases with gate reviews and risk registers, and generates IC-ready presentations, all within one system from inbox to committee.

Target Audience

Primary users are commercial real estate acquisition teams (multifamily, industrial, retail, office, mixed-use, self-storage), real estate private equity funds, family offices, and institutional buyers screening high deal volumes against a written buy box; also used by private equity, corporate M&A, logistics, and corporate development teams for CIM parsing, QofE, Day-1 plans, and SIM screening.

Features

  • Email-to-deal creation: Forwarded broker emails become scored pipeline entries with an AcquiScore (0-100) and PROCEED, CAUTION, or PASS recommendation against the firm's buy box criteria
  • Citation-level sourcing: Every extracted number links back to its exact source page and paragraph in the OM, T-12, or rent roll, with low-confidence extractions flagged for review
  • Assumption validation: Auto-checks rent growth, vacancy, cap rates, expense growth, and financing assumptions against market comps and evidence, flagging divergences with cited sources
  • Template preservation: Output lands in the firm's own Excel model and PowerPoint deck templates, with formulas, formatting, and structure preserved; IRR recalculates live in 5-10 seconds as inputs change
  • Six-phase due diligence PM: Screening, property, financial, legal, market, and closing phases with gate reviews, a live risk register, and DD request lists assigned by owner
  • Risk management: Portfolio-level risk scoring, exposure tracking, covenant monitoring, and plain-language queryable exposure across the book
  • Conflict detection: AI relationship mapping and fraud screening with a party registry, shared-ownership cross-checks, and timestamped annual declarations
  • Rental rate verification: AI agent checks subject and up to four comps against listing data and public records
  • Enterprise architecture: SOC 2 Type II certified, client-only data segregation, RAG citations, RBAC, private cloud deployment, and integrations with Excel, PowerPoint, email, and CRM connectors
This profile is AI-generated and may contain inaccuracies.