Your data is hiding
opportunity & risk.
We find both.
Predictive Analytics — 30 Years of Signal
Every large dataset has signal that standard models miss. On one side is growth & margin that you're leaving on the table. On the other is exposure building quietly until it isn't quiet anymore.
We've spent 30 years building the systems that find it.
Leadership Experience Trusted By & Delivered For:
Applied Intelligence
Make Smarter Decisions
Our AI analyzes thousands of data points simultaneously to surface opportunities traditional analytics can’t see.
Save Time & Resources Automate fragmented or manual workflows to cut down research time while maintaining data accuracy at scale.
Gain Competitive Edge
Predictive intelligence that shows you what’s coming next, including land ready for development, price shifts, and developer activity.
Standard models are built to confirm what you already know.
Ours find what you don't.
Most analytics tools work inside your existing assumptions. They optimize what's already being measured. The signal they miss is the kind that changes the business — pricing working against the portfolio, risk concentrated in places the model doesn't reach, growth hiding in data that was never asked the right question.
Swarmalytics was built to ask different questions. The swarm intelligence architecture finds patterns at a resolution most approaches don't reach and the 30-year track record behind it means we know which patterns matter.
The Opportunity Side
Customers worth more than you're charging them. Markets you're not serving. Leads your competitors are cold-calling that your data already knows are ready to buy.
The Risk Side
Accounts priced below sustainable loss ratios. Fraud patterns your rules engine doesn't flag. Exposure concentrated in geographies your model aggregates away.
The Architecture
More than a marketing label. It’s true swarm intelligence. Gartner positions the architecture 6+ years ahead of mainstream adoption. We've been running it in production for years.
Where We WorkSignal looks different in every industry.
The method doesn't.
Insurance
Pricing models working against the portfolio in both directions — underpriced risk and overpriced best customers simultaneously. Macro-economic signals actuarial teams don't track. Individual-property risk at a resolution that ZIP-code aggregation misses.
→ P&C, health, specialty lines
We've built models across insurance, real estate, financial services, healthcare, and beyond. The underlying architecture is the same. The questions it answers are specific to your business.
Financial Services
Fraud patterns your rules engine doesn't flag. Customer scoring at institutional scale. Bad debt prediction against nine-figure write-off exposure. Data quality audits that Swiss banks called "hit me again, it hurts so good."
→ Banking, credit, consumer finance
Real Estate
140M+ US properties, 16,000+ data points each. Targeting the right owners, buyers, and parcels before competitors find them. Site selection scored against traffic, demographics, and every corner in the country.
→ Residential, commercial, land
Location Intelligence
Every parcel, every street segment, every corner — scored. Coverage gap analysis. Market expansion mapped against demographic signal. Site selection that finds the 101 qualifying combinations hiding in a billion searches.
→ P&C, health, specialty lines
Health Care
Patient risk, disease prevalence, and compliance exposure hidden in clinical and claims data. Zip-code-level disease heat maps. Engagement scoring that separates active patients from those drifting toward poor outcomes.
→ Payers, health systems, pharma
Something Else?
If your organization has large data and a decision it can't make cleanly — market entry, targeting, risk segmentation, fraud detection — the conversation is worth having. We've seen a lot of datasets.
Verified OutcomesThe models work. The numbers are real.
These aren't projections or case study estimates. These are client engagements with documented results.
AARP — Membership Targeting$8M/yr
Scored 60–70M senior records for membership likelihood. Optimized contact cadence per person. Saved $8M annually — and the model was still running five years later.
Major P&C Carrier — Pricing Analysis98.1% → 50%
Risk segmentation revealed their highest-risk accounts running a 98.1% loss ratio — while best customers were overpriced and shopping at renewal. The model was working against them from both ends.
UBS Bank — Analytics Partnership$200K → $7M
Started with a data quality audit so rigorous the Swiss clients asked for more. Account grew 35x over the engagement.
Real Estate Platform — Lead Targeting700K/day
Replaced a 100M-household cold-call center with AI targeting. Now running 700,000 scored hits per day. The call center is gone.
Bank of America — Credit Card Risk$1B exposure
AI fraud and default prediction against $1B in annual credit card write-offs. Fraud drops at Moscow lunchtime. Legitimate charges look like $16,462.15. Fraud looks like $5,000 flat.
Urban Development — Site Search101 found
Client needed 60 contiguous acres inside a major US city. No single parcel existed. We ran 1 billion+ combination searches over a weekend and found 101 qualifying combinations (including a working horse farm 2 miles from city center).
Doug Newell, Founder
“Chaos is just a pattern you haven’t identified yet.”
HOW WE CAN HELP
The Science Behind Swarm Intelligence
Nature-Inspired Models. Industry-Ready Results.
In nature, large groups of simple animals coordinate without centralized control. They solve complex problems through decentralized intelligence. Fish avoid predators. Birds navigate vast migrations. Ants map the most efficient routes.
At Swarmalytics, we’ve built our solutions the same way. Each model in our system is trained to specialize (market prediction, comp valuation, skip tracing, listing intel) before synchronizing to deliver fast, precise answers.
Like a swarm, our platform doesn’t rely on a single signal. It integrates thousands of data points (instantly), and adapts as the environment changes.
At a Glance:
Billions
of data points processed daily
75%+
reduction in research time and costs
Nationwide
coverage with parcel-level granularity
4,000+
variables powering real-estate insights
DATA-DRIVEN DECISION MAKING
Custom Solutions & Ready-to-Use Tools
3 Steps to Smarter Decisions
From first conversation to finished project; we make it easy to use AI that solves important problems.
Consultation
We map your current workflows and define the insights you need most.
Implementation
Our team delivers either a ready-to-use tool from the Swarmalytics suite or configures a tailored solution to meet your specific needs.
Transformation
Experience the competitive advantage of data-driven decision making powered by artificial swarm intelligence.
Request Index Access
Swarmalytics serves Government Agencies and Institutional Partners. Please verify your credentials to request a briefing.
ACCESS NOTICE: The Swarm Index™ monitors 16,000+ variables per asset. Due to the computational density of our data, we exclusively partner with Institutional Entities, Carriers, and Government Agencies. We are not currently accepting applications from individual agents or single-family homebuyers.