01
Estimate
Answer a short quiz about company size, industry, history, and data types. Receive a ballpark payout range.
Data valuation for operating companies
Your business already produces data. Clearworth helps you see what it may be worth.
AI labs and model builders pay for high-quality, domain-specific datasets. If your company has years of structured operational records—jobs, transactions, inventory, logistics, or customer workflows—that archive may have market value beyond internal analytics.
Estimates are directional only—not a quote or commitment. No data leaves your control until you choose to proceed under NDA.
How it works
Four steps. You stay in control at every gate.
Clearworth is a valuation and brokerage path—not a bulk scrape or a self-serve upload portal. Serious buyers expect clean rights, clear provenance, and privacy hygiene.
02
Qualify
By email we map what you hold, what is sellable, and what must stay internal. No files change hands yet.
03
Protect
Mutual NDA first. Then optional sample under your rules—de-identification, field redaction, and retention limits.
04
Transact
If there is a match, we package and place the dataset with interested buyers. You approve the terms.
What tends to matter
Buyers care about depth, structure, and real-world decisions—not screenshots.
The strongest packages are longitudinal, domain-specific, and already used to run the business. Personal identifiers and regulated secrets usually need redaction or exclusion.
Structured operational systems
ERP exports, job costing, work orders, inventory movements, CRM pipelines, scheduling, logistics, and ticketing—especially with multi-year history.
Domain documents with labels
Specs, estimates, inspection notes, SOPs, and catalogs that map cleanly to categories, outcomes, or dollar amounts.
Raw PII and closed-loop secrets
SSNs, payment card data, medical records, and anything you cannot lawfully license. We design around what you can responsibly share.
Where we start
Verticals with thick operational trails
Clearworth focuses first on industries where companies accumulate years of decision-grade records as a byproduct of serving customers—not pure consumer apps.
Construction & trades
Estimates, change orders, material takeoffs, crew schedules, punch lists, and warranty history across completed jobs.
Real estate & property ops
Lease admin, maintenance tickets, unit turns, vendor performance, and portfolio-level operating metrics.
Distribution & light industrial
SKU velocity, fulfillment exceptions, supplier lead times, and warehouse event logs with durable identifiers.
Field services
Dispatch, visit notes, parts usage, first-time-fix rates, and equipment service histories.
Specialty manufacturing
BOMs, quality checks, scrap reasons, machine parameters, and lot/batch traceability—where export rights allow.
B2B professional services
Project plans, time/cost actuals, deliverable taxonomies, and engagement outcomes over many clients.
For data buyers
Scrubbed, consented construction datasets for AI labs and data buyers
Clearworth sources real project records from US residential construction companies, scrubs them of personal and sensitive information, and licenses them on a non-exclusive basis.
Estimates & bids
Multi-year line-item estimates and bids from real residential jobs.
Change orders
Field change orders showing how scope and cost moved after the bid.
Job photos
Site and progress photos from the same projects, from start to finish.
3D designs
Design models and plans tied to the estimates and builds they produced.
Linked project records
Multi-year records linked by project, so you can follow a job from design to bid to field changes to the finished build.
Scrubbed, consented, non-exclusive
Every dataset is sourced with company consent, de-identified, and offered under a non-exclusive license.
Privacy posture
Company-controlled data. NDA before export. De-identification by design.
Clearworth does not ask you to upload production databases on day one. Valuation starts with a questionnaire. Any transfer happens only after legal review, under terms you accept, with fields you approve.
You hold the keys
Exports stay on your systems until you authorize a package. We never require open VPN access as a starting point.
NDA before samples
Mutual confidentiality comes before schema reviews, sample rows, or buyer introductions.
Minimize what leaves
Prefer aggregated, hashed, or redacted fields. Drop columns that do not improve training utility.
Curious what a ballpark looks like?
The quiz takes about a minute. Results are labeled as estimates—useful for deciding whether a deeper conversation is worth your time.