Data & Research
We build the dataset. You work the deals.
Most deal teams are data-starved — working off incomplete lists, stale CRM records, and manual Google searches. We fix that. Full TAM mapping, enrichment, custom scraping, and AI-powered research — delivered as clean, structured datasets ready for outreach.
How we compare
In-house research vs. Tentt
| Dimension | In-house | Tentt |
|---|---|---|
| TAM coverage | 30-50% — limited to one or two databases | 85%+ — 15+ sources cross-referenced and de-duplicated |
| Time to build list | 2-4 weeks of analyst time | 5-7 business days, fully structured |
| Contact accuracy | Varies by rep — no verification standard | Multi-source verified: email, phone, LinkedIn |
| Research depth | Surface-level — whatever Google and LinkedIn return | Ownership history, financials, hiring signals, tech stack |
| Custom data sources | Manual one-offs — not repeatable | Purpose-built scrapers against any structured source |
| Ongoing monitoring | None — snapshot in time | Continuous — changes surfaced as they happen |
| Cost model | Analyst salary + multiple tool subscriptions | Fixed per engagement — predictable, no subscriptions |
TAM coverage
In-house
30-50% — limited to one or two databases
Tentt
85%+ — 15+ sources cross-referenced and de-duplicated
Time to build list
In-house
2-4 weeks of analyst time
Tentt
5-7 business days, fully structured
Contact accuracy
In-house
Varies by rep — no verification standard
Tentt
Multi-source verified: email, phone, LinkedIn
Research depth
In-house
Surface-level — whatever Google and LinkedIn return
Tentt
Ownership history, financials, hiring signals, tech stack
Custom data sources
In-house
Manual one-offs — not repeatable
Tentt
Purpose-built scrapers against any structured source
Ongoing monitoring
In-house
None — snapshot in time
Tentt
Continuous — changes surfaced as they happen
Cost model
In-house
Analyst salary + multiple tool subscriptions
Tentt
Fixed per engagement — predictable, no subscriptions
What's included
Four capabilities. One engagement.
01
TAM mapping
We build the complete total addressable market for your mandate — every company that fits your thesis, mapped, de-duplicated, and structured. No more guesswork about market size or coverage gaps.
Capabilities
- Define ICP criteria: sector, revenue range, geography, ownership type, employee count
- Source from 15+ databases, registries, and proprietary scraped sources
- De-duplicate across sources and match against your existing CRM
- Deliver a structured, scored universe with confidence ratings
02
Data enrichment
Raw company lists are useless without context. We enrich every record with verified contacts, firmographics, technographics, and decision-maker data — so your outreach hits the right person with the right context.
Capabilities
- Verified decision-maker contacts (email, phone, LinkedIn)
- Firmographic enrichment: revenue, headcount, founding year, ownership
- Technographic signals: tools, platforms, infrastructure in use
- Custom fields matched to your qualification criteria
03
Custom scraping
When the data you need doesn't exist in any database, we build it. Custom scrapers against industry directories, trade associations, regulatory filings, job boards, review sites — any structured or semi-structured source.
Capabilities
- Niche directory and trade association scraping
- Regulatory filing extraction (Companies House, SEC, state registries)
- Job board monitoring for hiring signals and headcount proxies
- Review and listing aggregation across Google, Trustpilot, and verticals
04
Automated research
Deep research on targets, 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: competitive dynamics, consolidation trends, key players
- Target-level deep dives: ownership history, financial signals, growth trajectory
- Thesis validation research: market sizing, deal comp sourcing, multiple benchmarking
- Ongoing monitoring: track changes across your universe and surface what matters
How an engagement works
Step 01
Scope
You tell us the mandate — sector, geography, size criteria, ownership type, and any custom qualifiers. We define the data requirements together.
Step 02
Build
We map the TAM, enrich every record, 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 — ready to import into your CRM or hand off to our outreach team. Ongoing monitoring available.
Need better data?
Tell us the mandate. We'll scope the TAM, estimate coverage, and have a proposal back within 48 hours.
Book an intro call