Confidential

We build AI employees for businesses ready to scale.

Fully managed, custom-built AI employees—deployed in weeks, run by us, measured by your outcomes.

15-day deployment
Managed end-to-end (not self-serve shelfware)
Revenue engine + vertical platform roadmap

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Problem

The problem

Manual work is compounding

Mid-market businesses ($5M–$50M) are buried in operational work that does not scale with headcount.

Hiring cannot keep pace

Talent is scarce and expensive; every new FTE adds management load and slows execution.

Generic AI fails in the wild

Self-serve AI tools stall without technical ownership, integration work, and ongoing tuning.

Solution

The solution

Fully managed AI employees

We deploy agents that are purpose-built for your workflows—not a login and a hope.

15-day deployment

A focused rollout cadence that gets you to value quickly, with clear milestones.

Outcomes over licenses

We operate what we ship: reliability, monitoring, and iteration are part of the service.

Traction

Pipeline and GTM motion

Active pipeline

$270,000+

38 opportunities

Locked MRR

$7,650/mo

Cold outbound

211K emails

1,717 replies

Meta Ads

455 leads

$8,500 spend · $15–20 CPL

Qualification

50–60%

vs. ~25–30% industry norms

Current revenue

~$40K/mo current revenue (approx)

Named opportunities

Stutsman

$30,000

Millenium Logistics

$31,000

Maze Freight

$36,000

DataRemote

$30,000

Elite Technical

$25,000

Contender

$25,000

Connext

$30,000

Cadence Sports

$30,000

Team

Operators, builders, sellers

Ben Valentin

CEO / CTO

Sole technical founder leading architecture, product, and delivery. Owns the AI build and fulfillment stack.

Dual CEO/CTO role saves a $150–180K senior hire while keeping execution tight.
Deep technical ownership of agents, integrations, and reliability.

Christian Damico

Head of Sales

Outbound GTM lead with enterprise AE experience from HappyRobot (well-funded AI startup). Cold outbound motion starting April 2026.

1/3 co-founder; focused on repeatable pipeline creation.
Enterprise sales experience in AI-native environments.

Chris Damico

CSO / CMO

Go-to-market and brand leadership across channels, messaging, and partner motion.

1/3 co-founder; multiplies top-of-funnel and conversion.
Aligns narrative with product velocity and sales cadence.

Chad Burwick

Product Manager

Product execution for delivery programs, customer scope, and launch cadence.

Keeps deployments fast, scoped, and measurable.

Doug

Head of GTM

Funnel operations: inbound qualification, pipeline hygiene, and partner outreach.

20–25 raw leads/mo into qualification
50–60% qualification rate (~2x typical benchmarks)

Business model

Services → platforms → agent infrastructure

0–6 months

Services cash engine

Phase 1 — Now

Fixed-fee AI agent builds ($20–30K average). Higher revenue, ~70% margins. Funds product and GTM.

6–12 months

Vertical platforms

Phase 2 — 6–12 months

Productize winning patterns into vertical platforms. WedLaunch is first ($2K/mo MRR, 80%+ margins, Meta Ads acquisition).

12–24 months

Multi-tenant agent platform

Phase 3 — 12–24 months

Maia Platform: enable other businesses to build and run agents on shared infrastructure—expanding TAM while keeping services velocity.

Revenue streams

Locked MRR reflects contracted hosting + WedLaunch subscriptions. Project revenue is the near-term cash engine while MRR scales.

Project deposits
Up-front deposits on AI employee builds and deployments.
Final payments
Milestone and completion payments tied to delivery scope.
Hosting MRR
Ongoing hosting and managed operations for deployed agents.
WedLaunch MRR
Vertical SaaS motion—first productized platform with recurring revenue.

Financials

Three scenarios. One model.

Toggle the operating case to see how cash, revenue, and burn move through month 18. Figures are illustrative and aligned to our internal planning narrative.

~5–6 deals/mo, $25K avg, 75-day cycle. WedLaunch 3 new/mo.

Year 1 revenue

$1,850,000

Month 18 cash

$1,300,000

Cash-flow positive

Month 4

SAFE utilization (approx.)

$63,000

Cash balance (Month 0–18)

Revenue vs. operating burn (Month 1–18)

Burn includes base OpEx + team comp + variable COGS at 30% of revenue.

Monthly burn breakdown (planning view)

Team comp (monthly)$61,000
OpEx (monthly)$12,350
COGS~30% of revenue
OpEx line items: Software & tooling, Marketing spend (variable), Professional services, Office & admin.

The Opportunity

We don't need your money — we want your money.

We are selecting partners who understand managed AI as an execution layer, not a feature toggle.

SAFE terms

Instrument: YC Post-Money SAFE — Valuation Cap Only (v1.1)
Raise: $500,000
Post-money cap: $10,000,000
Implied dilution at cap: 5%
Discount: None (cap only is market standard)

Use of funds

Engineering & product40%

Sales & GTM25%

Delivery & customer success20%

Infrastructure & ops10%

Reserve5%

Email the team

For diligence materials or data room access, reach out directly.