Verilo
Verilo
Seed Round 2026

Proof, not instinct.

Research-backed AI that scores your existing interviews — no new process, no new tools.

01
I liked Sarah's energy
John felt more senior though?
They're all strong honestly
Let's just go with our gut
Can we justify that to the client?
🤷

“You have three great candidates.
How do you tell who to pick?”

We asked 50+ recruiting firms. None had an answer beyond gut instinct.

6+ wks
Unpaid work per placement
“Vibe”
How close calls are decided
0
Tools that score their interviews
02
The Solution

Upload any interview.
Get proof in 24 hours.

Mid Tier
~550
Top: Clarity, Specificity
Watch: Criterial Application
Score Distribution
300 500 700 900 ~550
Average

No process changes. No extra steps. Just upload the interview you already recorded.

03
How It Works

Three steps. That's it.

Upload
AI
Analyze
Report
What's underneath
40 years of IO psychology research
Structured Interview Theory
Criterial Thinking
Construct Validity
Inter-rater Reliability
Behavioral Anchoring
Predictive Validity
Signal Detection Theory
Response Elaboration
Prosodic Analysis
Cognitive Load
Specificity Scoring
Competency Modeling
Dawid-Skene Aggregation
Schmidt & Hunter (1998)
Campion et al. (1997)
Huffcutt & Arthur (1994)
Levashina et al. (2014)
Sackett & Lievens (2008)
Salgado & Moscoso (2002)
Latham et al. (1980)
Gaskin & Keith (2023)
Research partners: Dr. James Gaskin & Dr. Mark Keith — BYU Marriott School
04
The Report

Your decision. Their proof.

Clarity
Specificity
Criterial Recog.
6 research-validated dimensions · 0–1000 score
Key Evidence
14:32
Specificity
(4.2)
Well-defined situation and actions with concrete outcomes — candidate provided specific scope, impact, and timeframe for their mentorship initiative.
22:15
Clarity
(4.0)
Clear causal reasoning — identified root cause and connected it to a structured response.
+ 2 more evidence moments in full report
05
Candidate Comparison

Rank candidates apart. Objectively.

Lower
Developing
Mid Tier
Strong
Upper
~900
Sarah C.
~750
Michael R.
~625
Emily W.
~425
James T.
200300400500600700800900
06
Market Opportunity

30,000 firms. We have 15.

Internal HR
✕ Slow, committee-driven decisions
✕ Fears AI will replace them
✕ Bad hire = inconvenience
✕ Locked into HireVue, ATS tools
Recruiting Firms
✓ Fast, owner-driven decisions
✓ Actively seeking competitive edge
✓ Bad hire = lost revenue
✓ No AI deterministically scores their interviews
$16.6M
SOM · 1,500 firms @ $925/mo
$2.2B
SAM · AI candidate fit scoring (2025)
$15B
TAM · AI in HR by 2030 · Year 2+ (Grand View Research)
07
Growth Roadmap

Recruiting is the wedge. Not the ceiling.

Recruiting — 30K firms Corporate HR — 500K+ companies Every conversation
Now

Recruiting firms. Sharpest pain, fastest sale. 15 pilots launched.

Year 2

Corporate HR teams. Recruiter reports are the warm intro — clients see Verilo before we pitch them.

Year 3+

Beyond interviews. Sales calls, support QA, manager coaching, training assessments. Same engine, any conversation — deployed globally.

08
Competition

Others automate interviews.
We validate them.

They replace your process
HireVue, Harver, Glider
$390M+
Locked into enterprise HR platforms
Metaview, BrightHire
$86M
Notes only, non-deterministic output
Paradox, NTRVSTA
$1B+ acq.
Absorbed by Workday, replaces the recruiter
Verilo validates your interviews
No process changes
Upload interviews you already record
Deterministic & regulation-ready
Same input, same output — fully auditable
Proprietary research pipeline
BYU-validated constructs, trained grader network, growing dataset

Every pilot generates more data → better models → more pilots. The moat compounds.

09
Our Journey

We stopped building what we wanted.
We built what recruiters need.

2023 Built a lie detector that beat the polygraph 2024 Working model. Market said no. Pivoted twice. 2025 BYU partnership. 40 years of research. Complete rebuild. 2026 15 of 20 said yes.
10
Traction

One demo. 75% say yes.

150
Cold Calls
›››
13%
book rate
20
Demos
›››
75%
close rate
15
Active Pilots

Pre-revenue. Each firm dedicating senior recruiters to the pilot.

11
Business Model
98.5% gross margin · 40x client ROI
Core
$500/mo
1–3 users
Advanced
$1,000/mo
4–10 users
Enterprise
$1,500/mo
10+ users
$0.15 per interview (~20 min)
Serverless GPU, no human labor → 98.5% margin
1 extra placement/mo = $20K fee
vs $500/mo subscription → 40x ROI
12
Financial Projections

Break-even Month 14

Cash never drops below $203K

Based on 3% monthly churn, 50% pilot conversion, $925 avg. revenue per account

13
The Team

Built by builders

Isaac Dayley
Isaac Dayley
Co-Founder & CEO
Built entire ML pipeline, dashboard, and data infrastructure solo in 6 months. BYU MIS.
Samantha
Samantha
Co-Founder & COO
Operations & research. Manages grader training, pilot coordination, client relations. BYU MISM.
Rob Crowther
Rob Crowther
Founder & CMO
Sales & growth. 160 cold calls, 75% demo close rate. Leads all GTM.

Research Advisors: Dr. James Gaskin & Dr. Mark Keith — BYU Marriott School

First hires: ML engineer (Month 4), sales team of 5 (Month 6)

14
The Ask

$500,000

Bridge to break-even. Month 14.

40%
Product & Engineering
ML engineer, model R&D, CTO full-time
25%
Sales & Growth
Team of 5, GTM, CMO full-time
20%
Operations
Pilots, research, legal, COO full-time
15%
Runway & Reserve
Cash buffer to Month 14

All 3 founders at $20/hr — well below market.

The vision: Verilo becomes the platform for voice-based performance insights — recruiting today, every conversation tomorrow.

15
Verilo