We build the dataset. Your originators close the loans.
Most lending teams are data-starved - working off broker-circulated lists, stale CRM records, and manual Google searches. We fix that. Full borrower universe mapping, CFO/owner enrichment, custom scraping against UCC and SBA data, and AI-powered research - delivered as clean, credit-box-scored datasets ready for outreach.
In-house research vs. Tentt
| Dimension | In-house | Tentt |
|---|---|---|
| Universe coverage | 30-50% - limited to one or two databases | 85%+ - 15+ sources cross-referenced and de-duplicated against your credit box |
| Time to build list | 2-4 weeks of BDO or analyst time | 5-7 business days, fully structured and credit-box scored |
| Contact accuracy | Varies by rep - no verification standard | Multi-source verified CFO + owner contacts: email, phone, LinkedIn |
| Research depth | Surface-level - whatever Google and LinkedIn return | Ownership history, existing debt structure, financials, capital-event signals |
| Custom data sources | Manual one-offs - not repeatable | Purpose-built scrapers against any structured source (UCC filings, SBA, registries) |
| Ongoing monitoring | None - snapshot in time | Continuous - maturity countdowns, covenant triggers, leadership changes surfaced live |
| Cost model | BDO salary + multiple tool subscriptions | Fixed per engagement - predictable, no subscriptions |
Universe coverage
In-house
30-50% - limited to one or two databases
Tentt
85%+ - 15+ sources cross-referenced and de-duplicated against your credit box
Time to build list
In-house
2-4 weeks of BDO or analyst time
Tentt
5-7 business days, fully structured and credit-box scored
Contact accuracy
In-house
Varies by rep - no verification standard
Tentt
Multi-source verified CFO + owner contacts: email, phone, LinkedIn
Research depth
In-house
Surface-level - whatever Google and LinkedIn return
Tentt
Ownership history, existing debt structure, financials, capital-event signals
Custom data sources
In-house
Manual one-offs - not repeatable
Tentt
Purpose-built scrapers against any structured source (UCC filings, SBA, registries)
Ongoing monitoring
In-house
None - snapshot in time
Tentt
Continuous - maturity countdowns, covenant triggers, leadership changes surfaced live
Cost model
In-house
BDO salary + multiple tool subscriptions
Tentt
Fixed per engagement - predictable, no subscriptions
Four capabilities. One engagement.
01
Borrower universe mapping
We build the complete addressable borrower market for your credit box - every company that fits your lending criteria, mapped, de-duplicated, and structured. No more guessing about market size or coverage gaps.
Capabilities
- Define credit box: sector, revenue range, geography, ownership type, deal size, collateral
- Source from 15+ databases, registries, UCC filings, and proprietary scraped sources
- De-duplicate across sources and match against your existing CRM and borrower book
- Deliver a structured, scored universe ranked by credit-box fit and capital-event proximity
02
Borrower enrichment
Raw borrower lists are useless without context. We enrich every record with verified CFO and owner contacts, existing debt structure, firmographics, and credit-relevant qualifiers - so your outreach hits the right person with the right context.
Capabilities
- Verified CFO + owner contacts (email, phone, LinkedIn)
- Firmographics: revenue, headcount, founding year, ownership, sponsor backing
- Existing debt structure: senior lender, facility type, maturity, covenant pressure
- Custom fields matched to your credit-box qualification criteria
03
Custom scraping
When the borrower data you need doesn't exist in any database, we build it. Custom scrapers against UCC filings, regulatory data, trade associations, job boards, sponsor portfolios, and SBA loan records - any structured or semi-structured source.
Capabilities
- UCC filing extraction (maturity dates, lender of record, collateral)
- SBA 7(a) / 504 loan data, OCC and FDIC call reports, Companies House
- Sponsor portfolio mapping (which PE firms own which middle-market borrowers)
- Job board monitoring for CFO/treasurer hires and headcount-growth signals
04
Automated research
Deep research on borrowers, sectors, or themes - automated at scale. We deploy AI-powered research workflows that would take an analyst team weeks, delivered in days with source citations and structured outputs.
Capabilities
- Sector landscape analysis: borrower concentration, capital intensity, debt-load trends
- Borrower-level deep dives: ownership history, financial signals, capital-event proximity
- Lending market research: competitor spread benchmarks, structure norms, sponsor preferences
- Ongoing monitoring: track changes across your borrower universe and surface what matters
How an engagement works
Step 01
Scope
You tell us the credit box - sector, geography, deal size, collateral type, ownership profile, and any custom qualifiers. We define the data requirements together.
Step 02
Build
We map the borrower universe, enrich every record with CFO and owner contacts, build any custom scrapers needed, and run automated research workflows. Typical turnaround: 5-7 business days.
Step 03
Deliver
You receive a clean, structured dataset - scored by credit-box fit and capital-event proximity, ready to import into your CRM or hand off to our borrower outreach team. Ongoing monitoring available.
Need better borrower data?
Tell us the credit box. We'll scope the borrower universe, estimate coverage, and have a proposal back within 48 hours.
Book an intro call