AI-POWERED REAL ESTATE DISCLOSURE ANALYSISInstant answers to property questions drawn directly from disclosure documents.Platform Status: Active Development | Beta Q1 2026
BEDROQ
PLATFORM INTERFACE - IN DEVELOPMENTOur AI-powered interface allows real estate professionals to:-Enter any property address to begin analysis-Upload disclosure packets-Ask questions in natural language-Receive instant, source-verified answersCurrent Status: Core functionality active on Google Cloud infrastructureNext Milestone: Private beta launch Q1 2026THE BEDROQ WORKFLOWSTEP 1: UPLOAD
Drag and drop any property document:Inspection reports
Seller disclosures
HOA documents
Compliance formsSTEP 2: ASK
Type your question in plain English:"Does this property have foundation issues?"
"What's the roof condition?"
"Are there any unresolved permits?"STEP 3: UNDERSTAND
Get instant, verified answers:Direct quotes from source documents
Page references for verification
Risk level indicators
Recommended next stepsTechnical Implementation:Vertex AI for document understanding
Firestore for secure storage
Cloud Run for instant responses
BigQuery for analytics (enterprise tier)
WHY IT MATTERS
The Problem and Target Audience:
Real estate transactions depend on trust and clarity, yet most participants struggle to interpret property disclosures quickly to make informed decisions. Buyers, sellers, and agents often spend hours manually reading PDFs filled with legal and technical language. Important information can be missed, leading to confusion, disputes, and lost time.Bedroq addresses this by automatically analyzing, summarizing, and explaining property disclosures in plain language, answering specific questions that the buyers, sellers or agents have.It is designed for real estate agents, brokerages, and home buyers who need to make fast, informed decisions with confidence.By reducing review time and human error, Bedroq brings transparency and accountability to one of the least understood aspects of real estate that can be made easier for all parties.
PRODUCT STAGE & TECH STACK
Built on Google Cloud for Speed and Security
Bedroq is built entirely on Google Cloud’s serverless architecture, including:
-Vertex AI: Model fine-tuning and document understanding.
-Firestore: Secure, scalable data storage.
-Cloud Run + Functions: Fast, low-latency AI responses.
-BigQuery: Analytics and document insights for brokerages.
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Roadmap Highlights:
PDF Q&A live | Voice-to-voice assistant Q1 2026
DETAILS ON PRODUCT & SERVICES
Bedroq is developing an intelligent platform that enables users to upload property-related documents and receive automated analysis in real time.AI Disclosure Q&A: Users can ask any question about a disclosure or inspection report and receive precise, contextual answers instantly.
Smart Summaries: The system generates concise summaries tailored for buyers, sellers, and agents.Verification Layer: The platform identifies missing pages, unsigned sections, inconsistent data, and other potential issues.
Voice and Avatar Mode: A forthcoming conversational interface will allow users to speak to an AI assistant that explains reports aloud.
Brokerage Dashboard: A planned analytics suite for enterprise users will include risk detection, compliance metrics, and document tracking.The user interface is being designed for simplicity: drag and drop a file, ask questions naturally, and receive clear explanations and summaries.
Technology StackThe platform is built entirely on Google Cloud using Vertex AI for language modeling, Firestore for secure data storage, Cloud Run and Cloud Functions for responsiveness, and BigQuery for analytics and insights.Target Regions: California pilot (2025) → U.S. nationwide → global expansion to Singapore, Malasia, Indonesia, Japan & India (2026).
TEAM & FOUNDERS
Founder and Chief Executive Officer: DiPali Shah
DiPali has more than twenty-five years of experience in Silicon Valley luxury real estate and mortgage lending. A licensed California broker and loan originator, she has managed high-value property transactions and built a reputation for client trust and compliance excellence. She previously founded VTOOBE, an artificial intelligence streaming startup supported by Google for Startups.
Linkedin:
www.linkedin.com/in/dipalinshahChief Technology Officer:
Yo Nakajima
Yo is a full-stack developer and artificial intelligence engineer with expertise in Google Cloud, Vertex AI, and Firestore. He leads Bedroq’s technical architecture, model training, and system scalability. Yo has previously developed and deployed production-grade document parsing and speech-based AI systems.
LinkedIn:
https://www.linkedin.com/in/yo-nakajima-201a21372/
EXAMPLE:
BEDROQ IN ACTION
Scenario: Agent reviewing inspection report for 123 Oak Street, Palo AltoUSER QUESTION:
"Does this property have any foundation issues?"
BEDROQ AI RESPONSE:
"Yes. The inspection report identifies two foundation concerns:CRITICAL: Crack in northwest corner foundation wallSource: Inspection Report, Page 12, Section 4.2
Inspector note: 'Recommend structural engineer evaluation'
Severity: HIGH - requires professional assessmentMODERATE: Minor settling in garage slabSource: Inspection Report, Page 18, Section 6.1
Inspector note: 'Monitor for progression'
Severity: LOW - cosmetic concernRecommendation: Obtain structural engineer report before close of escrow. Estimated timeline: 2-4 weeks."Time Saved: Approximately 45 minutes of manual document review
Confidence: High (direct document citations provided)
Next Action: Request seller to provide structural assessmentWHY REAL ESTATE NEEDS AI-POWERED DISCLOSURE REVIEW
The Challenge
The US real estate market processes over two trillion dollars in annual transactions. Every transaction requires reviewing 100-300 pages of technical disclosures, inspection reports, and compliance documents.
Current State
The industry faces significant inefficiencies:Agents spend 2-3 hours per property manually reading PDFs
Critical issues buried in legal jargon get missed
Buyers cannot get quick answers during negotiations
No standardized way to compare property risksThe Bedroq Solution
Our platform addresses these challenges directly:Instant answers to any property question
AI automatically flags critical issues
Source citations for every answer
Makes agents look like experts to clients
Accelerates transaction timelinesTarget UsersReal estate agents and brokers (2M+ in the US)
Home buyers and investors
Brokerage compliance teams
Property management companiesGoogle Cloud infrastructure deployment
Vertex AI model integration
Core document parsing engine
Natural language Q&A system
User interface design (shown above)
Security and compliance architectureIN ACTIVE DEVELOPMENT (Q1 2026)Beta platform testing
Multi-document analysis
Critical issue auto-flagging
Summary generation algorithms
Mobile-responsive interfacePLANNED RELEASES (2026)
Q1 2026: Private Beta LaunchInvite-only access for California agents
Core Q&A and summary features
Unlimited document uploadsVoice-to-voice property consultations
Audio summary generation
Mobile app release
Brokerage API
Compliance dashboard
Team collaboration tools
BigQuery analytics
Geographic Expansion
California to Nationwide to Singapore, Malaysia, Indonesia, Japan, IndiaVertex AI compute for document processing
Firestore storage for document repository
Cloud Run scaling for user requests
BigQuery analytics for enterprise insightsBUILT ENTIRELY ON GOOGLE CLOUD
Core Services
Vertex AIDocument AI for PDF parsing
Gemini models for natural language understanding
Custom fine-tuning for real estate terminologyFirestoreSecure document storage
User data management
Real-time synchronizationCloud Run + Cloud FunctionsServerless architecture
Auto-scaling for demand
Sub-second response timesBigQuery (Enterprise Tier)Portfolio-level analytics
Compliance reporting
Risk trend analysisWhy Google Cloud?Industry-leading AI/ML capabilities
Enterprise-grade security (SOC 2, GDPR compliant)
Serverless scaling for startup efficiency
Integrated AI toolchainEmail: CEO@ BEDROQ.DEV
© 2025 Bedroq Inc. | Woodside, California |
