An Army of AI Agents vs. 1.69 Million Broken Records
How AI agents that reason through data chaos turned an unsolvable problem into a competitive advantage
Offers going to wrong people. Real owners missed entirely. Competitors reaching them first. Everyone knew the data was broken—but fixing it would take 50 analysts months of work. Not worth it.
An army of AI agents that reason through data chaos—understanding that “Miller, John” and “John Miller” are the same person without being told. 10 agents doing in hours what 50 analysts couldn't do in months.
Problems that were previously unsolvable are now solvable. Better targeting. Faster deals. A capability their competitors don't have—and can't easily replicate.
1.69M
Records Processed
1.25M
Unique Owners
125x
Cost Savings
10x
Time to Market
A Capability Their Competitors Don't Have
Better targeting, faster deals, and ownership tracking that competitors can't match—because they're still using the broken data.
More Accurate Offers
Know exactly who owns what before making contact. No more sending offers to the wrong person or missing key owners.
62%
94%
Faster to Deals
Skip manual research. Data is ready on day one. Start outreach immediately instead of spending weeks cleaning data.
Track Ownership Changes
See when properties change hands before competitors. First-mover advantage on new deals.
The Competitive Advantage
Everyone working with public tax data has these problems. Fixing them was never financially feasible—until AI agents made it possible. This client did. Their competitors haven't.
“Before this, we were sending four mailers to the same person and missing actual property owners entirely. Now we know exactly who owns what before we reach out.”
Public Data, Private Headaches
The underlying data comes from public tax rolls and county records. Anyone who has worked with government data knows the quality varies wildly - one county assigns the same ID to hundreds of different people, another scatters one person across dozens of IDs. Every company using this data inherits these problems.
670 Different People. One ID.
Owner ID 817132 was assigned to 670 completely unrelated people. Different names, different states, nothing in common.
Exclude one person? You'd exclude all 670.
Each person can be managed individually.
44,421
Collision Groups
670
Worst Case
51,609
New IDs Created
Not Financially Feasible Before Agentic AI
Rules-based systems can't handle the infinite variations in how names and addresses appear across county records.
How many rules would you need to match these?
From ID Chaos to Clean Profiles
See how fragmented, conflicting records become unified owner profiles with AI-validated confidence scores.
Owner Records Export
1.69M records with broken IDs
John Miller
123 Oak St, Denver CO
Paula Richardson
456 Pine Ave, Boulder CO
Miller, J
123 Oak Street
JOHN MILLER
Oak St 123, Denver
Click the toggle above to see the transformation
10 AI Agents Working in Parallel
A detailed look at how the agents reasoned through 1.69 million records.
Entity Resolution Pipeline
Raw Records
1.69M owner records
Fix Collisions
Separate shared IDs
Consolidate
Merge duplicates
Cross-Reference
Find overlaps
Match Records
Connect stable records
Clean Data
1.25M unique owners
Inconsistent Public Records
Owner ID 817132 had 670 different people assigned to it. Miller Paula appeared under 4 separate IDs. Anyone working with government data at the county level knows this pain.
1.69M
Total Records
44,421
Collision Groups
99,581
Unstable Groups
What an Army of AI Agents Accomplished
We deployed 10 agents for this project. We could have deployed hundreds. The reasoning scales infinitely—that's what changed.
44,421 collision groups fixed. 99,581 unstable IDs consolidated.
cost savings
10x
Faster to Market
1
Record per Owner
100%
Decisions Documented
Works for Your Industry
The Same Approach, Tailored to Your Data
Whatever messy data you deal with, we can clean it up.
Mineral Rights Ownership
Track ownership changes across millions of records. Reach the right person on the first try.
First-mover advantage
Property & Owner Records
Same property, different records over time. Track ownership accurately.
10x faster research
Customer Data Unification
One customer, multiple products, multiple names. Create a single customer view.
Single source of truth
Patient Record Matching
Same patient, different visits, different systems. Unify records across facilities.
90%+ duplicate reduction
Supplier Consolidation
Same vendor, different names from M&A. Consolidate your supplier base.
30%+ duplicate suppliers found
Custom Data Challenges
Any messy data that needs matching, deduplication, or consolidation.
Let's discuss your use case
Your data could be your competitive advantage
If your industry has messy data that everyone struggles with, we can help you fix it. Talk to us about your specific challenges.
From this project
1.69M
Records Processed
125x
Cost Savings
10x
Faster to Market