Lee Fossey, Founder · AI Specialty Staffing, Inc. · aiss.world
AI Specialty Staffing, Inc. (Delaware C-corp)Confidential · 2026
The one-liner
Recruiters are drowning in AI tools, and still not billing more.
AISS is the engine that actually runs their desk, on a proven method, in their own voice, turning AI-readiness into placements.
A warm, pre-launch pipeline on the order of ~900 desks is already lined up across a recruiting network and a global retained firm. We're raising to finish the build and capture it.
AISS · The one-liner2 / 14
The problem
AI-aware. Production-flat.
A dozen tools, flat output
Recruiters own ChatGPT, CRMs and sourcing tools, and their numbers haven't moved. The gap isn't knowledge. It's execution, turning AI into billed placements.
Tools don't run a desk
Each product does a slice. None runs the end-to-end motion a top biller performs, on live roles, in that recruiter's voice.
AISS · Most recruiters never reach a million-dollar desk — it's a system and time problem, not talent3 / 14
The product
A method you own + an engine that executes it.
MDD — the method
The Million-Dollar Desk: the proven, step-by-step operating system for running a desk at the top level. Sold as a product recruiters own outright. $199 Founders, soft-launched Sept 2026.
AISS — the engine
Runs the MDD method on the desk: find talent, surface signals, target outreach, track engagement, deliver results, in the recruiter's own voice. $499/seat/mo, built on frontier AI (Claude).
MDDmethod you ownAISSengine that executes it=the moat
Stage, stated honestly: AISS exists today as a working prototype the founder runs his own desk on daily, the concept is proven in live use. This raise productizes it into a multi-tenant product (target Q1 2027 launch).
What the engine runs, end to end
AISS · The product4 / 14
Why now
Demand is warm and ahead of the product.
17 offices / 62 recruiter-owners already championing it to their desks; the owner of a global firm (800+ partners, ~1,200 desks, 50+ countries) asked for a pilot.
The binding constraint is engineering cash, not demand.
Compute is partly pre-funded — non-dilutive credits (Anthropic, AWS, Microsoft) stretch every dollar.
The window is open now. Capital converts hot interest into paying desks before it cools.
warm channels
~900
desks addressable
~$5.4M
potential ARR @ $499
AISS · Why now5 / 14
Traction & pipeline (interest, distinct from committed revenue)
The market is already pulling.
Source
Shape
Status
US recruiting network
Managing partner championing AISS/MDD to 17 offices / 62 recruiter-owners + affiliated network; secured a slot on their all-partner call (Oct 29).
● Warm, championing
Global retained firm
The owner proactively requested a pilot ("furthest-advanced person I've spoken to"); 6 handpicked testers. ~1,200 desks / 50+ countries.
Method product live at Founders pricing; demand worked through the channels above.
● Pre-revenue
Blended near-term warm pipeline ~900 desks at/near launch; the global-firm network alone is up to ~1,200 desks at full rollout. Pipeline, not signed.
AISS · Traction6 / 14
Market & competition
Not another tool. The engine that runs the desk.
Point tools
~$99/mo
Talin and the AI sourcing / message-writer bots. Each does one slice, and the recruiter still stitches a dozen together by hand.
Narrow · cheap · interchangeable.
AISS
$499/mo
Runs the entire desk on a proven method, in the recruiter's own voice. One system, not a stack of tools.
The engine, not a feature.
Enterprise suites
$30K+/yr
Bullhorn, LinkedIn Recruiter, Eightfold-class ATS + CRM. Built for req and pipeline management, months of IT to deploy.
They store the desk. They don't run it.
Point tools are too narrow. Enterprise suites are too heavy, and manage reqs instead of working them. AISS is the only one that runs the motion end to end.
Nothing to deplatform
Unlike tools built on scraping LinkedIn, AISS runs on data the recruiter owns, immune to the platform crackdown squeezing competitors.
AISS · Market & competition7 / 14
Business model & unit economics
Two revenue lines. 90%+ margins.
Front-loaded onboarding cash
One-time setup per desk, "Platform" ~$1.5–3K, premium "Full Desk" ~$5–9K.
Recurring subscription
$499 / seat / month. AI-usage COGS is small, metered, partly offset by secured non-dilutive credits.
Gross margin @ $499/mo
Light
Typical
Heavy
98%
94%
88%
AI cost/mo: ~$10~$30~$55–60
AISS · Business model & unit economics8 / 14
Go-to-market & ramp
The ramp is fast because demand is warm, not cold.
We onboard a pre-sold pipeline, we don't buy customers, so acquisition cost is low and the curve is steep.
AISS · GTM & ramp9 / 14
Revenue scenarios (modeled potential, not committed)
Front-loaded cash, then compounding ARR.
Recurring ARROne-time onboarding
$0.3–0.9M
~$1.8M
~$5.4M
First cohort 50–150 desks
Early capture 300 desks
Warm pipeline ~900 desks
Even a first cohort of ~100 desks throws off ~$150K–300K of one-time onboarding on top of recurring, meaningful self-funding as it ramps. Retail $499/mo; global-firm partnership pricing runs below retail on volume.
AISS · Revenue scenarios10 / 14
The moat
Hard to copy without the recipe and the network.
Owned IP
Delaware C-corp; method + engine owned outright. Entity formed specifically to hold IP before any partner gets hands-on access.
Proprietary method
The MDD method the engine is trained to execute, hard to replicate without the recipe and the network behind it.
Founder's channel
A position inside recruiting and the warm partner relationships already championing it to their desks today.
MDD is the method you own. AISS is the engine that executes it. Together, method plus engine, they are the moat.
AISS · The moat11 / 14
Return & exit path (illustrative, not a guarantee)
A disciplined ~5-year build-to-exit.
$1.8M
$4.2M
$6.6M
$8.4M
$10M
2027
2028
2029
2030
2031
This round at exit
$300K
$400K
Stake (SAFE @ $4M)
~7.5%
~10%
Value @ ~$60M
~$4.5M
~$6M
Return
~15x
~15x
Exit ~$60M (~6x revenue), a conservative multiple for a 90%-margin vertical-AI SaaS. Likely the only outside round — self-funding after launch.
AISS · Return & exit12 / 14
Team
Built by someone who lives inside the buyer and the user.
Lee Fossey — Founder
Thirty years inside the work. Came up through executive leadership in staffing, trained recruiters from the ground up, and built desks that bill seven figures. Founded and ran a global firm supplying Workday consultants across dozens of countries, scaling talent-supply end to end. Today leads the US healthcare practice of a global retained executive search firm operating in 50+ countries, still carrying a live desk every day.
He is the buyer, the user, and the builder at once, and the creator of the MDD method AISS runs. The product is every workflow he has performed and taught by hand, turned into software.
Engineering — Divogue LLC
Dedicated software build partner executing the productization, the multi-tenant architecture, the AI orchestration layer, and the recruiter-facing app, scoped tight to a Q1 2027 launch. The build runs entirely in a sandbox, never against live client data.
IP and source code assign to AI Specialty Staffing, Inc. on payment, the company owns everything it builds. Compute is partly pre-funded by non-dilutive credits (Anthropic, AWS, Microsoft).
Investor profile sought: 1–3 strategic angels with recruiting / HR-tech distribution, smart money that accelerates the channel, not passive capital.
AISS · Team13 / 14
The ask
$300–400K to finish a product we own and capture a pipeline already in front of us.
The round
$300–400K on a SAFE, $4M cap (finalized with counsel). Private placement, accredited investors, 506(b), no general solicitation.
Milestone it buys: launched product + a first paying cohort (50–150 desks) + demonstrated MRR + validated unit economics = the self-sustaining, clearly-fundable inflection.
Use of Funds
◀ Build 65%
Launch 17% ▶
Buffer 13% ▼
Lee Fossey · Founder, AISS · lee@aispecialtystaffing.com · aiss.world
Confidential. For discussion only; not an offer to sell securities. Forward-looking figures are estimates.14 / 14
