AI reconciliation for clean, merged data across remote RE proptech stacks.
Remote real estate teams waste time and risk errors from fragmented proptech tools with poor data syncing across platforms.
PortfolioMerge uses AI to detect, merge, and clean duplicate/conflicting property data from multiple sources. Remote teams get a single source of truth dashboard with auto-resolved discrepancies. It prevents errors in reporting and decisions from siloed data.
Remote teams managing distributed real estate portfolios
ML-based data matching (95% accuracy) tailored to RE fields like addresses/parcels, with human override.
supportive
Bulk upload CSV/API pull from tools; scan for duplicates.
Auto-merge properties based on fuzzy matching.
Single editable view per property with source lineage.
Visual diff and approve/reject changes.
Push cleaned data back to source tools.
Metrics on merge confidence and manual interventions.
Apply changes to multiple records.
Train AI with team-specific rules.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| team_id | uuid | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| name | text | No |
| tier | text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| team_id | uuid | No |
| name | text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| portfolio_id | uuid | No |
| master_data | jsonb | No |
| sources | jsonb | Yes |
| confidence | int | Yes |
Relationships:
/api/portfoliosCreate portfolio and import data
/api/reconcileRun AI merge on new data
/api/properties/:idApprove/reject merge changes
/api/export/:idExport cleaned data
Manual merges only
50k records/mo
Unlimited
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 80 | 3% | $84 | $1,008 |
| Month 6 | 700 | 5% | $1,225 | $14,700 |
Reconcile duplicates across tools for a clean portfolio view – perfect for remote teams.
Offer free data cleanups to 3 RE investment firms via LinkedIn outreach. Post before/after demos on r/realestateinvesting. Use Typeform survey in RE newsletters for early signups.
Full CRM
No cross-tool merging
AI-focused cheap merging
ML deduping
Generic, no RE
RE-tuned + dashboard
Improving AI from anonymized merge data across teams.
Explosion of RE data from IoT sensors/APIs + AI maturity for fuzzy matching.
AI accuracy varies by data quality
Fallback manual + confidence scores
Teams don't see data quality pain
Free audits showing $ savings
OpenAI costs spike
Self-hosted model later
Success: >90% AI accuracy
Success: Time saved feedback
Success: 200 uploads week 1
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