The method
Same four steps,
four times over.
Every SingularX product starts from the same problem: an industry sitting on data that is real, messy, and unusable in the shape it arrives. The four steps below are how that becomes something a person can act on.
01 · Acquire
Get to data others can't
Every product starts with a source that is real, public or licensed, and almost never packaged for use.
What arrives
- Property, assessment and sales records held across separate offices
- Permit filings and code-enforcement history in legacy systems
- Publisher request logs, millions of lines, no agent identity attached
- Everyday food and nutrition entries, typed by hand
What we do
We get access properly, then get it repeatedly. A one-time export is a demo. What matters is a source that refreshes on a schedule we control, with the gaps and format changes handled rather than discovered later.
What comes out
- Documented source
- Refresh schedule
- Known gaps
02 · Structure
Make it comparable
Two records describing the same thing rarely agree. Reconciling them is the unglamorous work, and it is the part that lasts.
What arrives
- The same parcel written four different ways across four systems
- Addresses with no consistent format and no shared identifier
- Requests with a user agent string and nothing verifiable behind it
What we do
Parcels get matched to sales. Permits get routed to the workflow that actually handles them. Requests get resolved to a verified agent and a stated purpose. Everything gets a stable identifier, so the next step can compare rather than guess.
What comes out
- Matched records
- Stable identifiers
- Audit trail
03 · Analyze
Turn records into a judgment
A table is not an answer. Someone has to decide something, and the analysis has to be defensible when they do.
What arrives
- Clean, comparable records with known coverage
- A decision someone is accountable for making
What we do
Models select comparables and estimate value with the adjustments shown, not hidden. Screening flags an incomplete application before a staff member touches it. Policy decides allow, charge, or block per request. Every output carries the reasoning that produced it, because these decisions get appealed.
What comes out
- Estimate with adjustments
- Screening result
- Policy decision
04 · Apply
Deliver it where decisions happen
Analysis is worthless until it lands somewhere a person acts on it. This is where most data projects stop, and it is the only part the user ever sees.
What arrives
- A judgment, with the evidence behind it
- A person with a deadline and a form to file
What we do
An appeal-ready report a review board will accept. A permit status a resident can check without calling. A licensed article with attribution attached and the request on the record. The interface is the product; the pipeline behind it is what makes the interface trustworthy.
What comes out
- Report
- Resident-facing status
- Licensed access
Work with us
Which step are you stuck on?
Most teams are further along than they think on step one and have nothing past step two. We start with an assessment of what you already have, then build the part that is missing.