Venture plan · 24 months

AI QA & Red‑Teaming Company

Independent third‑party testing for AI products — built on 15 years of QA discipline.

Month 6 revenue: $150K–250K
Month 12 revenue: $800K–1.2M
Month 24 revenue: $2.5M–4M
Team at scale: 50+ testers

Core positioning

Do not build a “QA staffing company.” Build an AI Quality & Red‑Teaming firm that happens to deploy human testers at scale. Your product is your methodology, not your headcount. Your niche: independent third‑party testing — model red‑teaming, LLM evaluation pipelines, QA‑as‑a‑Service for AI applications.

Roadmap

Four phases from methodology to a 50‑person delivery bench, with a revenue target attached to each.

Positioning & IP

Months 0–2

Service catalog — 4 offerings

AI Red‑Teaming — adversarial testing: prompt injection, jailbreaks, data poisoning, privacy leakage, OWASP LLM Top 10 coverage. Fixed‑scope engagements with written report.
Model Evaluation Pipelines — golden datasets, benchmark suites, regression testing across model versions. Recurring revenue: every model update = new invoice.
QA‑as‑a‑Service for AI Products — test planning, execution, bug triage, UAT for AI features. Familiar territory, rebranded.
Compliance & Audit Testing — EU AI Act, NIST AI RMF, ISO 42001 readiness. Regulated industries pay premium rates.

Build methodology v1

Document red‑teaming playbook (attack taxonomies, test case templates, severity scoring).
Create eval dataset templates (hallucination checks, bias probes, edge cases).
Define reporting format — exec summary + technical appendix.

Legal & ops

Register company, get liability insurance, draft MSA + NDA templates.
Set up CRM, invoicing, and time‑tracking.

First Revenue

Months 0–6

Target clients

AI startups (Series A–B) with funded runway but no QA team
Enterprise AI teams in banks, insurers, healthcare (liability‑driven)
AI infrastructure companies wanting independent eval reports as a sales tool

Sales play

Your 15‑year network is the first 5 conversations — call every ex‑colleague.
Offer a discounted pilot (e.g., $5K red‑team sprint) to get first 3 case studies.
Publish 2–3 public red‑team reports on open‑source models — best lead generator.

Team build‑out

Hire 3–5 senior testers as contractors (security / automation / data science background).
You personally lead the first 2–3 engagements — your name is the trust anchor.

Revenue target$150K–$250K in first 6 months

Repeatability & Productization

Months 6–12

Convert pilots to retainers

Goal: 60% of revenue from retainers by month 12.
Every red‑team engagement ends with a “continuous monitoring” upsell.

Build proprietary tooling

Prompt‑injection test harness (automated attack library)
Eval regression suite (run the same 500 test cases against every model version)
Bug‑triage workflow tailored to AI defects (hallucination severity, bias classification, safety failures)

Scale the tester model — key decision

You do not need 50 full‑time employees. Smart structure:

Core team (10–15): senior testers, QA leads, delivery manager, salesperson — employees.
Vetted freelance network (35–40): trained & certified in your methodology — per‑project, paid per deliverable.

Recruiting engine

Create a certification program — 2‑week training (your methodology + AI testing fundamentals).
Recruit from QA communities, testing conferences, ex‑colleagues.
Pay freelancers well ($30–50/hr) — build a bench that doesn’t churn.

Revenue target$800K–$1.2M annualized by month 12

Scale to 50+

Months 12–24

Sales expansion

Hire dedicated salesperson(s) — you focus on delivery quality & methodology.
Move upmarket: enterprise contracts with $100K+ annual value.
Partnerships with AI consultancies, cloud providers, security firms for referral overflow.

Productize

Red‑Team Sprint — $10–25K
Continuous Eval Subscription — $5–15K/month
Compliance Audit — $25–50K

Team structure at 50

12–15 core employees: delivery leads, QA architects, tooling engineers, sales, ops
35–40 certified freelance testers across projects
2–3 project managers coordinating distributed teams

Revenue target$2.5M–$4M annualized by month 24, 25–35% net margin

Financial model

Bench depth, not headcount, drives the margin.

Financial model projections at month 12 and month 24
Metric	Month 12	Month 24
Billable testers	15–20	50+
Blended bill rate	$60–80/hr	$70–90/hr
Utilization	60–70%	65–75%
Annual revenue	$800K–$1.2M	$2.5M–$4M
Gross margin	40–50%	45–55%
Net margin	15–25%	25–35%

The math works if you keep the core lean and the freelance bench deep. Hiring 50 employees would eat your margin.

Risks & mitigations

AI companies testing in‑house

Sell independence. Vendors testing their own models is a conflict of interest; enterprise buyers and regulators want third‑party verification. That’s you.

Talent shortage

Your certification program solves this. You train experienced QA professionals in AI testing — a much larger pool than AI engineers.

Client concentration

Cap any single client at 25% of revenue. Diversify across startups, enterprises, and regulated industries.

Model landscape shifting

Your advantage — continuous retesting becomes recurring revenue. Every model update is a new invoice.

Your next 7 days

Five moves that turn the plan into a pipeline.

Write your one‑page service description and pricing.
List 20 people from your network at AI‑adjacent companies — message them all.
Pick one open‑source LLM and write a sample red‑team report (even if for a fake client) — your portfolio piece.
Draft your certification curriculum outline.
Set up the legal entity and a simple CRM.

The window is open — AI companies are shipping fast and breaking things. Your 15 years of testing discipline is exactly the credibility this industry lacks.