CASE FILE — FX-006 — FIRSTFILE LEADS

FirstFile Leads

An AI pipeline that categorized and researched 30,000+ new businesses in its first month, running every day without anyone touching it.

STATUS: COMPLETED|AI DATA ENRICHMENT & AUTOMATION|2026
FirstFile Leads landing page
FIG. 1 — FIRSTFILE LEADS LANDING PAGE

The problem

Around 2,000 new businesses register in Florida every day. The public data is raw: a name, an officer, an address. No phone, no website, and no idea what the business actually does.

Turning that into usable leads by hand takes minutes per record. At this volume, it had to be automated end to end, and it had to be accurate enough to trust.

Searchable dashboard with confidence badges (fictional sample records)
FIG. 2 — SEARCHABLE DASHBOARD WITH CONFIDENCE BADGES (FICTIONAL SAMPLE RECORDS)
01

Daily ingestion

Every new state filing collected and parsed each morning, across six filing types.

02

AI industry classification

AI categorizes every business against the national NAICS industry list, so you know what it actually does.

03

Smart standardization

A second AI step maps nearly 7,000 free-form labels onto 162+ clean business types, so filters actually work.

04

AI contact research

Each business is searched online, and AI reads the results to find its website, phone, email, and social profiles.

05

Confidence on every field

Each data point is marked exact, likely, or possible, with a note on its source. Low-confidence records go to human review.

06

Verification

Matched pages are re-checked and email domains validated before anything is delivered.

07

Automated delivery

Fresh results delivered by email every morning, plus a searchable dashboard with one-click export.

08

Monitoring & analytics

The pipeline tracks its own progress and costs, with dashboards to measure results.

Three automated steps every day: ingest every new filing, categorize it with AI against the national NAICS list, then search online for contact details and let AI read, match, and score what it finds. AI costs a fraction of a cent per record, and the results are verified and delivered with no manual work.

AI classificationAI web researchEmbeddingsConfidence scoringAutomated pipelineDashboard

This build is proof of work for these Flux services, and the same approach can be applied to your business:

SVC

AI Integration

Categorize, extract, and research at scale: sort support tickets, tag your product catalog, or pull key fields out of documents and emails.

SVC

Data Enrichment & Cleanup

Fill in missing details on your CRM or customer list, de-duplicate messy records, and standardize categories so reports finally line up.

SVC

Workflow Automation

Scheduled pipelines that run every day on their own, with alerts when something needs a human.

SVC

Dashboards & Reporting

Searchable dashboards and exports that put the results in front of the people who use them.

30K+Enriched records, first month
162+Business types
~2,000Records per day
<1¢AI cost per record

Ran in production in 2026, delivering AI-enriched records every morning with no manual work.

The same approach (ingest, classify with AI, research, verify, deliver) works on almost any data your business already has. Tell us what you're drowning in.

Want this for your business?

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