OriginEight
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A proprietary acquisition workbench,
not another static list.

For acquirers sourcing privately held service companies. OriginEight maps the market, builds and enriches the target universe, and scores every company by fit — so your team opens to a ranked shortlist, not a blank research project.

01Breadth

Target universe

Privately held service companies matched to your thesis, geography, and profile.
ThesisGeographyTarget profile
02Depth

Company intelligence

One structured, source-linked record per company.
Service linesGeographyOwnershipGrowthSourcesConfidenceContacts
03Decision

Ranked workbench

Every company ranked in a browser based workspace.
ScoresTiersRecommendationsCompany Briefs
Your list belongs to you. Data will never be shared or resold.
See how the scoring works →
Decision methodology

Databases describe.
We diagnose.

OriginEight turns fragmented service-company markets, customer-provided lists, and buyer-defined target profiles into ranked acquisition intelligence, with scoring, tiering, recommendations, and documented evidence for every company.

WHAT DATA PROVIDERS GIVE YOU
A static firmographic record
NAICS561790 · Building services
Employees100–150
Revenue (est.)$15–25M
Founded2002
HQMulti-state · 5
StatusActive
Everything true. Nothing that tells you whether to pursue it.
vs
WHAT ORIGINEIGHT DELIVERS
Basic firmographics+Signals+Evidence+Scoring=Recommendation
TIER 1
VerdictPursue
Recommendation
→
A founder-led platform at a succession inflection with high likelihood of expansion potential — pursue immediately.
Top reasons
1
Founder-led, 24-year service business with a family-COO transition underway — a classic inflection-point profile.
2
Multi-state (5 states) field service running two coordinated brands (kitchen exhaust + fire suppression) — structural operational complexity.
3
Compliance-driven, dispatch-intensive delivery with recurring revenue cycles — high surface area for operating-system and AI / automation leverage.
4
Multi-unit chain customer base (Chipotle, Five Guys, Chili’s, RaceTrac, QuikTrip) — account-level reporting needs and consistent SLAs across territories.
34 signal categories across operational complexity, field workforce, leadership & succession, growth, positioning & maturity.See how the scoring works →
Scoring methodology

How scoring works

The output is auditable because we keep three layers apart: what was observed, how we read it, and the score it moved. Here is one fact making that journey.

Reading the scores
Fit
Thesis match
Complexity
Operational surface = improvement runway
Opportunity
Upside levers
Confidence
Evidence quality
01 · Raw fact
The company lists three operating locations.
→
02 · Signal
Multi-site delivery suggests regional coordination complexity.
→
03 · Score
↑ Complexity · ↑ Opportunity
SCORES BECOME A RECOMMENDATIONthe pattern matters, not the average
Pursue
Meaningfully aligned with the thesis and worth active attention.
Selective
Real signal, but the case is mixed, smaller, or needs validation.
Reject
Lacks fit, scale, complexity, or has a clear disqualifier.
Case studies

Three different customers.
Three focused target sets.

01 · Prioritize
2,400→52Tier 1 targets
One customer evaluated a list of target companies they exported from a top-tier company sourcing tool.
Input
A 2,400-company list exported from a top-tier company sourcing tool.
Total companies
2,400
Lightweight discovery
1,437
Thesis fit
147
Tier 2
55
Tier 1
52
02 · Discover
76→5Tier 1 targets
One customer wanted to find acquisition targets in a niche market that wasn't represented in any purchasable dataset and didn't have an NAICS code.
Scanned
One niche market across two major Southeastern metros.
Total identified
76
Thesis fit
14
Tier 2
9
Tier 1
5
03 · Map
1,817→62Tier 1 targets
A customer wanted to identify all family-owned companies in a specific industry, across two states, in their target revenue band, run by long-tenured and aging founders, with high geographic expansion potential.
Scanned
One industry across two states, including all major metros and rural areas.
Total identified
1,817
Thesis fit
657
Tier 2
137
Tier 1
62
Customization

Customize to your acquisition thesis
and target profile, not a fixed dataset.

Every engagement runs on the same evidence discipline, scoring architecture, and ranked target workbench. What changes is how deeply OriginEight is configured around your search: the target profile, the data sources, the scoring weights, the market coverage, and the level of ongoing refresh.

Standard foundationIncluded in every engagement
Expanded buildFor deeper, buyer-specific searches
Thesis
OriginEight baseline for under-covered private service businesses
Custom fit definition based on your sector, geography, platform strategy, and acquisition criteria
Scoring
Fit · Complexity · Opportunity · Confidence
Custom weights, definitions, exclusions, and calibration examples
Evidence
Public company evidence and source-linked research
Premium enrichment, deeper source coverage, and additional buyer-specific signals
Dataset depth
Company, signal, ranking, rationale, and contact fields where available
Fuller firmographics, deeper contact coverage, expanded geographies, and more complete market coverage
Deliverable
PDF briefs or interactive workbench, depending on engagement
Deeper briefs, broader market maps, recurring refresh, and expanded target intelligence
Start with a focused prioritization project. Expand into a custom intelligence layer for the markets you care about most.
FAQ

Frequently asked questions

No. The CSV is only an input or export format. What you get is a proprietary acquisition dataset (briefs as the evidence, tiers as the decision layer) worked in a browser-based workbench. We do not sell contacts or raw records, and you keep ownership of everything you send.
AI performs research at a breadth and speed a human team could not match: scanning fragmented public information, extracting the signals that matter, and comparing them against your thesis. But the output is composed by a proprietary scoring architecture that enforces consistency, confidence indicators, and quality control. The rubric and its lane discipline keep an appealing narrative from inflating a score.
Missing exact revenue, fuzzy headcount, or unclear ownership become unknowns, not automatic penalties. Confidence is a separate axis, so a thin web footprint often just means a company is under-covered, not low-quality. Unknowns and contradictions are preserved in the record as watch items and validation notes you check before a call.
Yes. The standard thesis and rubric apply by default. A custom thesis and rubric (your exclusions, weights, and definitions) is a scoped option that changes how every signal is interpreted, because the same fact can mean different things to different buyers.
Lists, exports, and theses are handled under NDA, never resold, and never pooled into a shared database. The thesis-driven dataset we build is delivered to you as a standalone asset. Your sourcing edge stays your sourcing edge. We work your companies, and only yours.
Where to start

Start with 25 of your
own companies.

See the system on your own companies before you pay for anything. If the pilot is useful, expand into Prioritize, Discover, or Map.

Ready to see it

Try it first, risk free

Send 25 companies and see the workbench, briefs, and decisioning on your own names. Free.
Want to understand it first

Schedule a 30-minute conversation

See a real list and ask anything. No obligation, no list required.
Your list stays yours.
Target lists, CRM exports, and buyer theses are handled under NDA, never resold, and never added to a shared database. We work your list, and only yours.
OriginEight
Proprietary target intelligence for small & mid-market buyers: scored, tiered, and evidence-backed.
Your list stays yours · handled under NDA
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What you get
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