We’re excited to share the latest updates in ParGo AI 2.0.1. This release introduces a powerful new research assistant, adds commercial rent and leasing data, and delivers meaningful improvements to how you save and manage work—plus a handful of important fixes.
DROP is our AI-powered ownership research assistant that revolutionizes skip tracing and property research. DROP automatically:
Conducts comprehensive ownership investigations across multiple data sources
Provides detailed owner profiles including business connections and property portfolios
Generates actionable contact information and relationship mapping
Delivers research summaries with confidence scoring
What this means for you: DROP centralizes the steps you’d normally stitch together from scattered sources and notes. By assembling ownership details, business affiliations, and property holdings into a single view, you can move from an initial lead to a clearer picture of who owns what—and how those people and entities connect. Confidence scoring helps you quickly judge which findings to use immediately and which ones may need a closer look, so you can prioritize outreach and follow‑ups more effectively.
Access to comprehensive commercial rent and leasing information
Seamless integration with existing workflows
What this means for you: Rent and lease context is often the missing puzzle piece in early research. With this integration, you can keep your analysis in one place instead of jumping between tools. It’s designed to fit into your current process—so you can reference rents and leases alongside your other work, maintain momentum, and reduce the friction of switching contexts.
We’ve improved how you save and manage your work sessions, making it easier to pick up where you left off and share insights with your team.
Why it matters: Research rarely happens in a single sitting. Enhanced session management preserves your place so you can pause mid‑workflow and return later without rebuilding context. It also makes it simpler to show your team exactly what you saw and how you got there, supporting cleaner handoffs and more consistent collaboration.
Your entire workspace is now preserved, including:
Project Layers – All active data layers and their configurations
Map Pins – Custom markers and annotations you’ve added
Query Results – All search results and filtered datasets
Query and Chat History – Complete interaction history for reference
Why it matters: Saving more than a single screen state means your work is reproducible. Layers, pins, results, and history stay in sync, so you can retrace steps, confirm how you reached a conclusion, and keep institutional knowledge intact. This is especially useful when revisiting analysis after a delay or when onboarding teammates to an ongoing project.
Update/Overwrite Functionality – Easily update existing saved criteria without creating duplicates
Save / Save As – Choose between updating current work or creating new versions
Granular Storage Architecture – Projects, Criteria, and Results are now saved as separate components for maximum flexibility
Why it matters: Iterative work shouldn’t create clutter. Update/Overwrite keeps your saved items tidy when you’re refining the same criteria, while Save/Save As lets you branch into new versions when you want to explore alternatives. The granular storage approach helps you organize work in a way that matches how you think—so you can adjust one part of your setup without having to redo the rest.
Fixed performance issues with the measurement tool
Impact: Interactions that rely on distance or area measurements should feel more responsive, especially in dense or complex views.
“Added by you” layers are not persistent
Impact: Custom layers you add now remain available as expected, reducing rework and preserving your personal context across sessions.
Fixed issues with enrichment coordinate alignment
Impact: Location-based enrichments should align more reliably with their intended map positions, improving visual accuracy during review.
Want a walkthrough of what’s new—or to see how these features fit your team’s workflow? Schedule a demo and we’ll tailor the session to your markets, your data, and your use cases.