Fire-code-mandated exhaust hood cleaning for restaurants on a fixed schedule — legally required, scheduled, and priced per visit.
How every revenue number here is produced
Modeled estimate. This is arithmetic on the assumptions shown (customers × price), not observed revenue, not an average, and not a projection. Verify pricing and achievable customer counts in your own market before relying on it.
Overview
This is maintenance that a fire inspector enforces. Restaurants cannot skip it, schedules are set by code, and the work is unpleasant enough that competition stays thin relative to demand.
Evidence
| Search term | Observed volume | Ranking difficulty |
|---|---|---|
| hood cleaning service | Steady local | Moderate |
| kitchen exhaust cleaning near me | Steady | Moderate |
| NFPA 96 hood cleaning | Low volume, expert intent | Low |
Trend: Stable and tied to restaurant counts. Recovered with food-service activity.
Evidence
Landscape
Established regional operators with crews, plus underequipped one-truck outfits.
Digital competition
Moderate. Established players rank, but few communicate documentation and inspection support clearly.
Market saturation
Moderate
Competitive weaknesses to exploit
Demand
Who buys
Restaurants, ghost kitchens, school and hospital cafeterias, hotels, and food-court operators.
Why they buy
Fire code and insurance require documented cleaning at defined intervals.
When they buy
On code-defined schedules — monthly, quarterly, semiannually — and before inspections.
Urgency
High; a failed inspection can close a kitchen.
Economics
Per-visit pricing of $350–$1,200 for a typical restaurant depending on hood length, fan access, and grease load. Rooftop fan access and multi-hood kitchens raise price substantially.
Conservative
$6,000/mo
12 × $500
Quarterly clients, one truck, part-time nights.
Moderate
$18,000/mo
30 × $600
Mixed monthly and quarterly schedule.
Aggressive
$42,250/mo
65 × $650
Two crews and a dispatcher.
Example scenarios based on the stated assumptions. Not projections, forecasts, or guarantees of income.
Economics
| Item | Low | High | Note |
|---|---|---|---|
| Pressure washer, hot water unit, containment gear | $3,000 | $12,000 | — |
| Work vehicle or trailer | $2,000 | $9,000 | Used equipment is common |
| Certification and training | $300 | $1,500 | — |
| Liability insurance | $1,200 | $3,500 | Annual; higher for fire-adjacent work |
| Chemicals and consumables | $200 | $800 | — |
| Website, scheduling software | $100 | $700 | — |
| Total | $6,800 | $27,500 | Estimated |
Go to market
Business models
Owner-Operator
You run one truck and clean nights.
Advantages
Disadvantages
Employee Model
Crews on routes with a dispatcher.
Advantages
Disadvantages
Franchise/Expansion
Replicate into adjacent metros.
Advantages
Disadvantages
The honest case against this opportunity, and who should not start it.
Why it could work
Why it could fail
Biggest risks
Who should NOT start this
Regulatory considerations
Cleaning frequency and documentation are governed by fire codes (NFPA 96 in the US and equivalents elsewhere). Certification is expected by insurers and required by many jurisdictions. Verify local code and certification requirements before quoting.
Launch plan
Do these three things first
First 30 days
Days 31–60
Days 61–90
AI advantage
80
/100
Compliance-aware nightly cleaning for clinics and dental practices — contract-based, unglamorous, and rarely won on price alone.
Demand
High
Competition
Low
Startup
$4.2K
Scenario high
$18K
78
/100
Aerial condition reports for property managers, roofers, and insurance adjusters — high ticket per job, low local supply in most markets.
Demand
High
Competition
Low
Startup
$7.5K
Scenario high
$28.6K
80
/100
Research, draft, and manage grant applications for small nonprofits using AI for the heavy drafting and humans for judgment.
Demand
Med
Competition
Moderate
Startup
$900
Scenario high
$16.2K