63.3%
of employers report receiving too many unqualified applicants through job boards or recruiting platforms.
Source: iHire, State of Online Recruiting 2024 ↗Institutional intelligence, starting with recruiting
Recruiting doesn't have a data problem.
It has a noise problem.
George helps organizations understand, preserve and reuse the context behind consequential decisions.
Recruiting is the first application. The underlying problem is much larger.
Noise 08 inputs
Job descriptions
Intake notes
Applicants
Recruiter judgment
Hiring manager feedback
Compensation data
Market signals
Interview evidence
Intelligence 06 outputs
✓What the role actually requires
✓Who genuinely fits
✓Why they fit
✓What evidence supports it
✓What is missing
✓What the organization should remember
MORE JOBS
+MORE APPLICANTS
+MORE AUTOMATION
+MORE AI
=MORE NOISE
01 / The market condition
More information has not created better hiring decisions.
AI has made it easier to generate, collect and find information. It has not made it easier to determine what actually matters, what can be trusted, or what the organization should remember.
19%
of online job postings were estimated to be ghost jobs in Q2 2026.
Source: Greenhouse data, reported by The Wall Street Journal ↗53%
of job seekers surveyed by iHire said they had personally been ghosted by an employer.
Source: iHire, 2025 candidate survey ↗George helps teams understand what actually matters.
02 / The intelligence layer
From activity to understanding.
George connects fragmented recruiting context, evidence, market intelligence and human judgment into usable intelligence.
The old operating model
Systems of record
capture activity.
ATS record ●
Inbox thread ●
Spreadsheet ●
Recruiter memory ●
Context is scattered across tools, people and time.
→
The George operating model
Systems of intelligence
preserve meaning.
Evidence
Judgment
Market context
Institutional memory
The organization gets smarter with every decision.
03 / The wedge
Recruiting is where the context problem becomes impossible to ignore.
Every requisition contains a moving target. Every candidate carries incomplete evidence. Every decision depends on context that is often lost as soon as the search closes.
George is being developed against real recruiting workflows, where the cost of noise is measurable and the value of better judgment is immediate.
01
Understand the work
Turn job descriptions, intake and market signals into a clearer definition of the actual need.
02
Evaluate the evidence
Connect profiles, experience, feedback and missing proof to make fit explainable.
03
Preserve the decision
Capture why a decision was made so the next search starts with institutional context.
04 / Economic value
Modest productivity gains can create meaningful enterprise value.
For a recruiting organization, time recovered is capacity returned. George makes the value of better intelligence legible in the language operators and investors already understand.
Time recoveredAnnual hoursCapacity value / recruiter
5 hrs / week260 hrs~$13,900 / year
10 hrs / week520 hrs~$27,800 / year
15 hrs / week780 hrs~$41,700 / year
Illustrative capacity value using a $53.47 hourly equivalent for a recruiter with $111,274 annual total compensation. The value is recovered capacity, not a promise of direct labor savings.
$695K
Equivalent annual capacity value from the work George already helped one operator perform independently last year.
05 / The larger opportunity
Recruiting is the first market, not the limit.
The same structural problem appears anywhere organizations make high-consequence decisions with fragmented context.
George starts with recruiting because the pain is visible, the workflows are rich with evidence, and the economic case can be demonstrated quickly. Over time, the intelligence layer can support other decision-heavy workflows without pretending those are today's product.
06 / Next conversation
The next category of enterprise software will not just retrieve information.
It will know what to do with it.
We are looking for investors, strategic partners and design partners who understand that intelligence is more valuable when it compounds.
Request Investor Conversation ↗