Cross-company learning brain
Patterns abstracted from every deployment transfer to the next — while PII never crosses a tenant boundary. A compounding data moat that gets stronger with every business she runs. No funded competitor holds it.
The first full-operations AI employee
She runs the whole business.
She runs the whole business.
And gets smarter from every one.
Jess is a full-operations AI employee — not a chatbot, not a point tool. One system runs sales, marketing, operations, and omnichannel communications. And every business she runs makes her better at running the next.
// raising a seed round · the AI employee platform
● JESS — live 
- Replied to new lead — SMS 12s
- Posted a review response done
- Booked Thursday 2pm done
1
system replaces 6–10 tools
4ch
voice · SMS · email · iMessage
24/7
always on
∞
cross-company learning
01 · The problem
Service businesses are trapped at 8–12% margins.
They run on 6–10 fragmented subscriptions and manual labor — and the real cost isn't the software, it's the labor budget behind it (about $1 of software for every $6 of services). Point-solution AI automates a single function and leaves the rest of the back office untouched.
02 · The solution
One employee. The whole operation.
Jess is a full-operations AI employee — not a chatbot or a single-function tool. One integrated system runs onboarding, sales, marketing, research, deliverables, site generation, social, and omnichannel communications across voice, SMS, email, and iMessage.
She moves a service business from 8–12% margins on 6–10 tools to 25–40% on one system — selling the completed work and capturing the labor budget, not just the software line.
03 · The moat
Not a feature. A headcount — that compounds.
Whole-job breadth
Competitors own one job (sales, support) or one tier (enterprise). Jess runs the whole back office — a headcount, not a feature.
Proven multi-vertical
One engine proven across genuinely different businesses — the hardest thing in this category to fake.
04 · Why now The category is funded.
The category is funded.
The risk is proof — not thesis.
AI took the majority of all US venture value in 2025. Investors are funding exactly this — the AI employee that does the work, with a compounding data moat. The thesis is settled; execution is the edge.
05 · The opportunity Every funded winner owns one job.
Every funded winner owns one job.
Jess owns the whole one.
The breakout companies each own a single function or a single tier. None combine full-operations breadth, multi-vertical SMB reach, omnichannel — including iMessage — and cross-company learning. That intersection is open.
Support Sierra · Decagon · Cresta
Sales 11x · Artisan
Enterprise Ema
Build-it-yourself Relevance · Lindy
Each owns one box. Jess is the only one running all of them — for the businesses the unicorns ignore.
See her work
Watch Jess actually run a business.
The strongest proof isn't a slide — it's Jess answering, deciding, and following through in real time, on a live FaceTime walkthrough. See it, then open the data room.
Book a walkthrough FaceTime · 00:42 
Team
Jess Intelligence, Inc.
Jess
AI Employee · the platform
The full-operations AI employee — and the product. Runs the whole back office, 24/7, and compounds with every deployment.
John McGuire
Founder & CEO
Building Jess — the first full-operations AI employee — and proving the cross-company flywheel across real businesses.
The ask
We're raising a seed round to turn proof into ARR.
The round funds the fine-tuned model, instruments the cross-company-learning lift, converts live deployments to verified revenue, and reaches SOC 2 — the metrics that unlock a strong Series A. The deck, traction, and data room are available on request.