Question 1

What is PILLAR Vertical Intelligence?

Accepted Answer

PILLAR Vertical Intelligence (VI) is a productized data-query agent for the canonicalized education data layer covering all 50 states + DC + 33 federal datasets. Revenue teams selling EdTech or GovTech use VI for ICP discovery, lookalike expansion, messaging architecture, and account scoring — every numeric claim is cited with the underlying tool call + source publisher + retrieval date.

Question 2

What data does PILLAR Vertical Intelligence cover?

Accepted Answer

K-12: 51 jurisdictions of assessment proficiency (Math, ELA, Science, Social Studies), district accountability status (CSI / TSI / ATSI / REC under ESSA, including EL and SWD subgroup designations), graduation rates, chronic absenteeism, federal Title I-A / II-A / III-A / IV-A allocations, NCES district directory, EDGE locale codes, and CRDC equity metrics. Higher Ed: IPEDS (enrollment, finance, completions, admissions), Carnegie classification, College Scorecard outcomes (graduation rate, median earnings, debt-to-earnings), FSA distress (HCM2, CDR3, Gainful Employment), NC-SARA distance enrollment, and SHEEO state higher-ed appropriations. 33 federal datasets total.

Question 3

Who is PILLAR Vertical Intelligence built for?

Accepted Answer

Revenue teams at EdTech and GovTech vendors selling into K-12 districts (curriculum, intervention, AI tutor, family engagement, SEL/equity, CTE/workforce, AI school operations, EL/multilingual) and Higher Ed institutions (tuition-dependency-pressured retention SaaS, workforce-aligned career services, FSA-distress retention SaaS). Personas: CMO, VP Demand Gen, CRO, VP Sales, Head of RevOps, VP Sales Ops.

Question 4

What's the difference between PILLAR Vertical Intelligence and the broader PILLAR product?

Accepted Answer

PILLAR Vertical Intelligence is the focused public-facing product that runs queries against the canonicalized education data layer — no CRM, no plays, no forecast, no write operations. The full PILLAR Revenue Architecture Operating System (RAOS) adds CRM-integrated closed-won pulls (Salesforce / HubSpot), nightly scheduled runs, the full 88-template library (VI surfaces ICP Discovery + Messaging Architecture; the broader product adds Renewal Risk, Expansion Whitespace, Higher Ed FSA / Tuition / Workforce, Territory + Geographic, Federal Program Flow), account scoring against the rule engine, and CSV export of the full ranked universe.

Question 5

How does PILLAR avoid hallucinated data?

Accepted Answer

Every tool result carries provenance metadata (source publisher, year, URL) and a Guarantee ID enforcing the underlying data shape. The agent is bound by hard rules: cite every numeric claim with the tool call + provenance, never invent data when a dataset is unavailable, never substitute an adjacent-domain tool when the requested grain doesn't exist, and never declare a state-level coverage gap unless the underlying tool explicitly returns no rows at the jurisdiction grain. The system enforces 1693+ Guarantees against the scoring + data layer at build time.

Question 6

Can I try PILLAR Vertical Intelligence without an account?

Accepted Answer

Yes. The Vertical Intelligence Sampler at app.pillargtm.com/vi/sampler runs 3 live queries per email against the canonicalized education data layer. No credit card. Visitor input is email-gated only (work email required) so each session is provenanced for the account team to follow up. Full PILLAR access lifts the query cap, removes the top-10 result cap on the lookalike universe, and unlocks CSV export, CRM-integrated closed-won pulls, and nightly scheduled runs.

Agent-Ready Vertical Intelligence

The structural attributes of the institutions you sell to are knowable, scoreable, and persistent: your GTM should run on them.