DiscoverAI // Houston, Texas

Find the customers your business was built to serve.

DiscoverAI gives sales teams, marketers, and entrepreneurs source-linked market data and governed decision models—so they can choose better accounts, territories, and campaigns.

Live product // Invoice to Rows

Stop retyping invoices. Get clean spreadsheet rows in seconds.

Drop a PDF, scan, or phone photo. DiscoverAI returns editable line items plus vendor, invoice number, date, and totals—ready to copy or download as CSV or Excel.

$7.99100 pages · one time · no subscription
47 / 47line items on our frozen 12-document benchmark
141 / 141numeric cells transcribed correctly
0invented monetary values in that benchmark
Private by designinvoice files are never written to storage

DiscoverAI // Revenue intelligence view

See your market. Zoom into the next account.

One working view connects buyers, opportunities, spending signals, territories, and your qualification rules—then shows what needs human review.

DiscoverAI
Connecting source context
Houston // 01 of 04
Illustrative market briefing

Your market is bigger than your CRM.

Source families08Connector blueprint
Sample records05Source-linked
Auto-outreach00People approve
Opportunity contextSource → account → review
SourceLinkedBuyerResolvedNeedClassifiedOwnerUnassigned
Suggested reviewEvidence: sample

Review the Houston buyer record, confirm the source is active, and compare the requirement with your qualified-account rules.

Decision statusReviewmore data required

The DiscoverAI Revenue Map

The customers you need are scattered across portals, spreadsheets, and systems.

DiscoverAI creates one governed map of buyers, accounts, opportunities, market signals, and your qualification rules. People and AI agents can query the same business meaning without learning every source format.

BuyersAccountsOpportunitiesSpendSignalsSources
DiscoverAIRevenue MapSource-linked market context
Sources linkedModels labeledPeople approve

One governed data layer

From scattered signals to a usable next step.

/01Define

Start with the customer you want

Name the offer, buyer, geography, and decision. That becomes the coverage contract for the data—not a vague request for more leads.

A market you can explain
/02Connect

Bring the evidence together

DiscoverAI normalizes permitted public, commercial, and customer sources while preserving links, dates, field definitions, and unknowns.

Source-linked records
/03Model

Compare accounts transparently

Decision models organize the evidence around your rules. Source facts, derived fields, assumptions, and missing data stay visibly separate.

No black-box win claims
/04Activate

Put the answer where work happens

Use a territory view, campaign brief, export, CRM-ready file, internal API, or agent workflow—with people approving outreach and spend.

Useful in the next workday

Start with one revenue decision

One market question. One useful data product.

We begin with the buyer, geography, fields, and delivery format your team actually needs. Validate a bounded sample before expanding coverage or connecting a model.

Explore the delivery model
01

Sales representatives

See qualified accounts, buyer signals, source evidence, and the next research step in one working view.

02

Sales managers

Compare territory coverage, assign ownership, and inspect why an account needs human review.

03

Marketers

Build campaign audiences and account briefs from the same governed definitions sales uses.

04

Entrepreneurs

Choose a market, understand its buyers, and test a customer-acquisition thesis before overspending.

Built in Houston. Built for growth teams.

Serious data infrastructure, shaped around the people responsible for finding customers.

Every role gets the view it needs while the source definitions, model rules, and approval controls stay consistent.

HOU / 01

Sales teams

Account lists, territory feeds, opportunity signals, buyer context, and research-ready briefs.

HOU / 02

Sales leaders

Coverage rules, ownership, pipeline context, review queues, and model governance.

HOU / 03

Marketing teams

Audience definitions, market segments, campaign inputs, and activation-ready fields.

HOU / 04

Entrepreneurs + agencies

Market sizing inputs, prospect discovery, partner signals, and reusable client datasets.

Evidence before expansion

We will not hand you a lead list and ask you to trust it.

Every engagement defines coverage, freshness, source lineage, missing fields, and the human decision the data is meant to improve.

Check my data readiness
DATA PRODUCT / ACCEPTANCE CHECK
Source coverageDefined
Freshness windowDefined
Missing fieldsVisible
Human ownerAssigned
Your requirements become the acceptance test.
Before You Buy Data

The questions every revenue leader should ask.

Coverage, source rights, freshness, definitions, and delivery matter more than the size of a lead list.

Start with the market decision you need to make. DiscoverAI can scope account, territory, opportunity, spending, workforce, campaign, or customer-data access. Every proposal identifies the sources, fields, geography, refresh plan, and delivery format.

Records keep their source links and freshness status. Derived fields and model outputs are labeled separately from source facts, and missing information remains unknown instead of being filled with a guess.

No. Models can organize evidence, compare accounts, and prepare a next-step brief. Your people approve outreach, spending, submissions, and other high-impact actions.

Yes, when the validated sample and permissions support it. Delivery can be a spreadsheet, territory feed, CRM-ready file, internal API, or governed retrieval layer for an approved agent workflow.

A free data-fit review defines the buyer, geography, decision, required fields, and delivery format. For larger engagements, you review a bounded sample and its coverage notes before the scope expands.

Your first data advantage

Tell us what you sell. See the market more clearly.

Explore the Houston sample, then request the buyers, geography, fields, and delivery format your team needs.

Explore sample data