CleanQuote AI
Pricing
- Model
- Subscription
Summary
Cleaning companies lose jobs not because their pricing is wrong, but because the quote takes three days to land — by which time the client has already booked someone else. CleanQuoteAI cuts that window to minutes by reading photos instead of waiting for a site visit.
The core loop is photo upload → AI surface and size analysis → editable itemized quote → Stripe payment → OSHA-compliant PDF download. Clients upload up to five images, the AI flags surface types and complexity, and the output is a line-item quote the client or provider can adjust before approving. For solo operators or small cleaning companies quoting standard residential and light commercial jobs, this removes the back-and-forth that kills conversions. The matching side is narrower — providers publish a service profile and receive pre-screened job requests, which works well when lead volume is predictable but offers no override on how the matching algorithm weighs requests.
Bottom line: Pick this for a residential or commercial cleaning operation where photo-based quoting replaces slow manual estimates — but plan around it if your quoting workflow involves multi-location enterprise contracts or pricing logic that the AI's surface-detection model was not trained to handle.
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Pros
Sign in to edit- Photo-based AI analysis estimates surface type, size, and complexity without a site visit, so quotes reach clients in minutes rather than days — eliminating the window where they book a competitor.
- Editable itemized output means clients and providers can adjust line items, square footage, and add-ons before approval, so the final number reflects the actual job rather than a locked AI estimate.
- Auto-generated OSHA-compliant PDFs are produced at quote approval, so compliance documentation does not become a separate manual task after the job is sold.
- Stripe-powered recurring billing and automatic post-job payouts mean providers stop chasing invoices for repeat clients — accounts receivable for subscription-model cleaning contracts handles itself.
- Provider matching sends pre-screened job requests directly to a provider feed with photos, estimated size, and AI-suggested pricing attached, so providers review real jobs rather than unqualified cold inquiries.
Cons
Sign in to edit- The AI photo analysis is trained on standard residential and light commercial surface categories — unusual materials, industrial environments, or spaces that do not photograph cleanly will produce base prices the provider must manually correct, adding back the estimation work the tool was meant to remove.
- Quote logic is bounded by preset and provider-defined rate structures; pricing models that require dynamic variables (e.g., contamination-level tiering, union labor rates, or multi-location volume discounts) cannot be expressed in the platform, and teams with those requirements move to a general-purpose CPQ or custom quote builder instead.
- There is no self-hosted or on-premise option, which means cleaning companies with data residency requirements or enterprise clients who mandate private deployment have no path to compliance within the platform.
- The provider matching algorithm operates as a black box — the docs describe no manual ranking, bid system, or override controls, so providers who want to compete on price or proximity rather than accept AI-assigned matches cannot adjust how jobs reach their feed.
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About
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-07-15T10:19:19.088Z
Best For
Who it's for
- Cleaning companies seeking faster quoting
- Facility managers and homeowners needing quick quotes
- Providers wanting pre-qualified job leads
- Businesses requiring compliant quote documentation
What it does well
- Generating quotes from client-uploaded photos
- Matching cleaning providers with client requests
- Creating editable itemized quotes with add-ons
- Automating payments and recurring billing
- Producing branded OSHA-compliant PDFs
Integrations
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Frequently Asked Questions
- Is CleanQuote AI free?
- CleanQuote AI has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is CleanQuote AI open source?
- No — CleanQuote AI is a closed-source tool. Source code is not publicly available.
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CleanQuoteAI is a quoting and provider-matching platform built for the cleaning services market. The client-side workflow runs in four steps: upload photos of the space, let the AI analyze surface types, room size, and cleaning complexity, review and edit the generated line-item quote, then pay via Stripe and download the branded PDF. The vendor states the system supports one-time and recurring billing, with provider payouts processed after service delivery. Photo analysis accepts up to five images per quote request.
The differentiating feature is the photo-to-quote pipeline. Rather than asking clients to fill out a form estimating square footage or condition, the AI reads uploaded images directly — detecting surfaces, identifying areas that need specific methods, and populating a base price. The output is editable: line items, square footage, add-on services, and special instructions can all be adjusted before the quote is finalized. Auto-generated PDFs are OSHA-compliant and carry provider branding, which means compliance documentation is produced at the same moment the quote is approved rather than as a separate administrative step.
The platform is purpose-built for cleaning businesses and the clients who hire them — it is not a general quoting engine. It fits solo operators, small to mid-size cleaning companies, and facility managers who need fast turnaround on standard cleaning categories: residential, deep clean, move-in/move-out, post-construction, commercial, and specialty services. Where it breaks is at the edges of those categories: unusual commercial configurations, complex multi-site contracts, or pricing models that go beyond the preset and provider-defined rate structure will require manual override or workarounds outside the platform.
Payments run through Stripe, with support for recurring billing and split payouts between platform and provider. Scheduling supports both one-time and contract-based recurring cleanings. The docs describe a real-time notification and dashboard layer for tracking quote status and managing incoming requests, which the vendor states is accessible on mobile.