Maive

Name: Maive
Brand: Maive

AI Native

AI Estimate Quality Control for Roofing Enterprises. Backed by Y Combinator (W25).

Est 2025|Valuation $7.1M|Raised $500K

LinkedIn 342|Website|FTEs 2|HQ San Francisco, California, US

01Competitive Landscape

Narrative analysis

Where Maive differentiates plausibly: - Positioning as an AI-assisted system for estimate QA and claims follow-up automation rather than a measurement-only or CRM-only product. - Emphasis on automated adjuster outreach (calls and follow-ups) as part of claims workflow automation. Where competitors may be stronger: - Roofr: clearer packaging and pricing for measurement and proposal workflows. - JobNimbus / AccuLynx: more established CRM ecosystems, broader integrations, and typically more published operational maturity and administrative controls. - HOVER / EagleView: specialist strengths in measurement accuracy and related deliverables. Pricing comparison guidance: - Because Maive pricing is not publicly disclosed, benchmark against the cost of hiring one to a few full-time claims administrators, estimated leakage rates, and expected approval-rate or cycle-time improvements. There is a risk of paying for automation that overlaps existing CRM or supplement processes.

	Maive	Roofr	JobNimbus
Starting Price	Not publicly disclosed (quote/pilot)	Pay-as-you-go free plan; Pro offered at a published monthly fee with additional per-report charges	Published plan-based pricing; vendor provides pricing based on configuration
Primary use case	Roofing/restoration contractors seeking AI-assisted estimate QA and claims administration automation	Roof measurements + proposals + lightweight job tracking; teams focused on fast measurement reports and proposal workflows	CRM and project management for contractors covering sales through production
Key strength	AI layer intended to identify estimate issues and automate parts of claims follow-up; integration-focused approach	Clear packaging and pricing; efficient measurement-to-proposal workflow	Mature CRM/process tooling with broader operational coverage
Key weakness	Limited third-party reviews; limited public security documentation; pricing and scope clarity are limited	Not focused on claim automation or estimate QA using AI; measurement/integration constraints can apply	May require add-ons for specific workflows; experience varies by implementation

01Competitive Landscape

Narrative analysis

Where Maive differentiates plausibly:

Positioning as an AI-assisted system for estimate QA and claims follow-up automation rather than a measurement-only or CRM-only product.
Emphasis on automated adjuster outreach (calls and follow-ups) as part of claims workflow automation.

Where competitors may be stronger:

Roofr: clearer packaging and pricing for measurement and proposal workflows.
JobNimbus / AccuLynx: more established CRM ecosystems, broader integrations, and typically more published operational maturity and administrative controls.
HOVER / EagleView: specialist strengths in measurement accuracy and related deliverables.

Pricing comparison guidance:

Because Maive pricing is not publicly disclosed, benchmark against the cost of hiring one to a few full-time claims administrators, estimated leakage rates, and expected approval-rate or cycle-time improvements. There is a risk of paying for automation that overlaps existing CRM or supplement processes.

	Maive	Roofr	JobNimbus
Starting Price	Not publicly disclosed (quote/pilot)	Pay-as-you-go free plan; Pro offered at a published monthly fee with additional per-report charges	Published plan-based pricing; vendor provides pricing based on configuration
Primary use case	Roofing/restoration contractors seeking AI-assisted estimate QA and claims administration automation	Roof measurements + proposals + lightweight job tracking; teams focused on fast measurement reports and proposal workflows	CRM and project management for contractors covering sales through production
Key strength	AI layer intended to identify estimate issues and automate parts of claims follow-up; integration-focused approach	Clear packaging and pricing; efficient measurement-to-proposal workflow	Mature CRM/process tooling with broader operational coverage
Key weakness	Limited third-party reviews; limited public security documentation; pricing and scope clarity are limited	Not focused on claim automation or estimate QA using AI; measurement/integration constraints can apply	May require add-ons for specific workflows; experience varies by implementation

Maive

01Competitive Landscape

Narrative analysis

02Market Map

01Competitive Landscape

Narrative analysis

02Market Map