AcquireOs
Our founding team has lived the realities of high-stakes CRE deal-making and built AcquireOS to remove the friction, guesswork, and wasted time from real estate underwriting.
Former Head of Investments at Michael Eisner's family office, where he led the Disney M&A team through the Pixar acquisition. He also served at Regent Properties and brings firsthand experience in the complexity, pace, and precision required to execute institutional-scale real estate transactions.
Co-creator of Google AdSense and co-founder of Scopely, acquired for $4.9 billion. A proven builder of category-defining technology platforms with a track record of turning complex, real-world workflow problems into scalable AI-powered software.
Legacy tools show you information. AcquireOS turns it into underwriting decisions.
Deal data scattered across spreadsheets, email threads, and shared drives.
A centralized deal management platform with every deal artifact in one place.
Faster coordination and fewer missed details.
Manual copy-paste data entry with little or no validation.
AI data extraction software that automatically validates data and flags anomalies.
Cleaner inputs, fewer errors, and stronger process control.
Spreadsheet-heavy financial modeling that's fragile and hard to standardize.
Built-in AI-powered financial modeling with consistent, repeatable underwriting logic.
Institutional-grade analysis and more reliable models in less time.
Manual document drafting and repetitive version control in Excel.
Auto-generates polished investment memos and deal documents from structured underwriting data.
Faster underwriting output with less rework.
Manual email follow-ups and ad hoc deal status updates.
Live acquisition pipeline visibility across every deal stage.
Clearer ownership, better deal scoring, and better forecasting.
Slower closing cycles caused by manual handoffs and delays.
A streamlined deal management workflow that accelerates every step to close.
Close deals faster with less friction and real-time market data.
The CRE underwriting software that replaces spreadsheet-based financial modeling with institutional-grade AI-powered analysis.
Move faster from source documents to validated underwriting analysis, investment memos, and decision support.
Automated data extraction software reduces manual underwriting mistakes.
A deal management platform built for high-volume CRE acquisition teams.
A complete real estate deal management system in one platform.
CRE deal execution is fragmented, manual, and slow.
Commercial real estate acquisitions still run on spreadsheets, inboxes, shared drives, and generic CRMs for critical underwriting decisions.
Manual data entry, document hunting, and assumption validation slow deal flow and real estate underwriting execution.
Institutional acquisition teams need to underwrite faster, compare more deals, and keep decision quality consistent at scale.
Generative AI for real estate can extract, validate, model, score, and generate deal documents from one connected underwriting workflow.
What makes AcquireOS different from spreadsheets, generic CRMs, and single-purpose CRE tools.
Deal lead, underwriting, lender matching, LOI, PSA, closing, asset plan, and exit strategy planning — full acquisition lifecycle coverage.
From OM, T12, and rent roll intake to validated data, modeled assumptions, and AI-generated investment memos — decision-ready deal packages.
AcquiScore, AI risk detection, market-validated assumptions, and automated document generation for repeatable underwriting rigor.
Scalable revenue streams built around high-value CRE acquisition workflows.
Recurring SaaS plans for teams that need faster real estate underwriting, deal tracking, and automated document generation.
Pricing scales with users, roles, deal volume, and asset-class underwriting workflows.
Custom implementation, support, and workflow configuration for large institutional investment platforms.
Used by institutional real estate investors managing $1B+ in assets, AcquireOS helps acquisition teams underwrite faster, improve deal quality, and move from review to close with confidence.