What's Coming in ParGo AI V2.0.0

Our upcoming release levels up how teams search, analyze, and collaborate on property intelligence. You’ll get advanced parcel queries with deep record context, a next-gen spatial data architecture, noticeable performance gains, and a more helpful AI assistant that remembers your project context.

Release Highlights (At-a-Glance)

• Refreshed data across all datasets

• Data Lake Integration (Phase 1) with a redesigned query architecture

• Performance boosts for query enhancements

• Improved spatial query by map extent

• Project Sessions & Saving to preserve full analytical context

• Enhanced AI criteria extraction and conversation memory

• True Owner Deep Research (Phase 1) with AI-assisted skip tracing

• Expected Release: Monday, October 27th 2025
  
  

• What’s Next: listings data and fully embedded AI operation across the product

Refreshed Data: Fresh, Updated and Ready for Analysis

We refreshed all vendor datasets so you’re analyzing the latest available information. The platform now spans 159M+ parcels with comprehensive attributes, 108M+ building permits with calculated metrics, 161M+ land cover & environmental data points, zoning for 3.7M+ zones, plus expanded commercial real estate market data.

These continuously updated layers give your queries immediate, real-world grounding—supporting everything from quick parcel screening to deep diligence and market intelligence.

Data Lake Integration (Phase 1): A Stronger Foundation

ParGo now runs on an enhanced spatial data lake architecture. Under the hood, we rebuilt the query engine for both performance and flexibility, enabling support for more complex query structures and logic.

This phase lays the groundwork for full-scale integration: think elastic performance, broader data interoperability, and faster time-to-answer as you blend parcels, permits, land cover, zoning, and market data in one place. With this more powerful backend, you will soon be able to query for proximity to and from ANY feature(s) you choose, on the fly.

In phase 2, we’ll begin optimizing query performance based on real usage—speeding up the searches users run most often and making the most relevant insights faster to access.

Performance & Query Enhancements: Faster, Deeper, More Flexible

You’ll notice an improvement in query execution thanks to optimized join strategies and a reduced memory footprint for multi-table queries. We’ve improved handling of large result sets and added stronger support for many-to-one relationships across datasets.

Practically, this means you can join parcel data with permits, land cover, and market data in a single query, apply more sophisticated filtering across related tables, and express nested or compound criteria—all while keeping the experience responsive.

Spatial Query by Map Extent: Smoother, More Precise

Spatial querying got a tune-up. The map extent function will see improvements to enhance the overall functionality. Use map extents to quickly query by geographic areas of interest.

Project Sessions & Saving: Pick Up Right Where You Left Off

Projects now preserve your complete analytical context. Save all active mapping layers and their configurations, your search criteria, and even query results for future reference. Layer visibility and styling preferences come along, too.

Whether you’re switching tasks, handing work to a teammate, or revisiting a client conversation, you can resume a project in seconds with everything right where you left it.

Enhanced AI Criteria Extraction: Ask Naturally, Get Structured Answers

Our AI assistant better interprets what you mean—especially with dates and temporal logic. It more accurately maps natural language to data fields and returns context-aware responses that reflect your ongoing conversation.

It also maintains conversation context across longer sessions, referencing prior prompts and offering concise summaries so you don’t have to repeat yourself as your analysis evolves.

True Owner Deep Research (Phase 1): See Through Complex Structures

Skip tracing is now AI-assisted to uncover ownership details more reliably. We improved entity resolution for complex structures, with better handling of trusts, LLCs, and corporate hierarchies.

The result: faster identification of true owners and related entities, plus clearer pathways when navigating stacked legal structures that typically slow deals down.

This will be coming in two phases. The first improves structure and contact results with the second to improve full retrieval related property information with AI.

What’s Next

This release sets the stage for full-scale data lake integration and a fully embedded AI experience across the product. Expect richer cross-dataset analysis, more proactive AI assistance, and even faster time-to-insight as we continue to expand functionality, performance, coverage, and data depth.

Call to Action

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.