<$5,000
$30 - $49 / hr
10 - 49
Enterprise
United States, San Francisco
2016
Within 1 week
Transforming Businesses Via Intelligent Technology

Quantazone is an AI and IT consulting company focused on helping businesses improve the way they operate through intelligent technology and digital transformation. We provide business technology solutions across ERP, CRM, HRMS, cloud, AI, and marketing automation.


Our approach focuses on connecting people, processes, and technology rather than adding disconnected software tools. Our ERP and business automation solutions can help organizations streamline finance, sales, inventory, operations, and other core workflows, while CRM and HRMS solutions help improve customer and workforce management.


We also help businesses adopt cloud and AI technologies to modernize their systems, automate repetitive processes, improve access to business information, and support better decision-making. Quantazone works with growing and mid-sized businesses looking for practical technology solutions that can scale with their needs.


Our goal is simple: help businesses use technology more effectively, reduce operational complexity, and create a stronger foundation for sustainable growth.

Transforming Businesses Via Intelligent Technology

Techreviewer Score

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4.1

Client review platforms

The company's reputation is reflected through ratings and reviews from different review websites:

4.1
(20 reviews)Trustpilot

AI Overview

Powered bytechreviewer AI
This company performance overview is based on AI analysis of 20 client reviews across 1 review platform. Read more about our methodology.
Last updated: October 2026

Performance snapshot

Quantazone's review profile is dominated by intern and employee experience accounts rather than client-facing project outcomes, making it difficult to assess vendor performance in a meaningful procurement context. The majority of reviews originate from a single platform and a concentrated burst in mid-2021, with most content describing workplace culture rather than deliverable quality. No anchor reviews contain specific metrics, project budgets, timelines, or quantified business results. One negative review raises a concern about unsolicited outreach, further muddying the client-vendor relationship picture.

Performance breakdown

Technical expertise
Not enough data

No reviews describe technical deliverables, coding quality, or technology stacks. One brief mention of 'new trends and technologies' lacks any specificity or client context to support a meaningful rating.

Project management & delivery
Not enough data

No reviews reference project timelines, milestones, or delivery outcomes. All available content relates to internship experiences rather than client engagement management.

Communication & collaboration
Not enough data

Intern reviewers describe supportive senior staff and guidance, but no client-facing communication or collaboration data is present. These accounts do not meet the threshold for a vendor communication assessment.

Reliability
Not enough data

Two reviews mention 'quick and reliable service' and 'professional approach,' but neither contains supporting metrics or project context. One negative review alleges unsolicited contact, introducing a minor credibility concern.

Client satisfaction & outcomes
Not enough data

No reviews document tangible business outcomes, ROI, or project success metrics. The review pool lacks client-side voices with sufficient detail to evaluate delivered value.

Best for

Based on available data, a reliable best-fit use case cannot be determined. The review corpus does not contain sufficient client-side project evidence to support a defensible recommendation.

Clients info

Not enough data. The review corpus is composed primarily of intern and employee accounts rather than client engagements. No client industries, company size bands, or project budget ranges can be reliably inferred from the available content.

Review strength

20 reviews were analyzed, all sourced from a single platform. The vast majority were published between July and October 2021, making all reviews more than three years old. The concentration of reviews in a narrow two-month window and their intern-focused nature significantly limits their evidentiary value for procurement purposes. Review date range: 2021-07-29 - 2021-10-27.

Performance breakdown

Technical expertise
Not enough data

No reviews describe technical deliverables, coding quality, or technology stacks. One brief mention of 'new trends and technologies' lacks any specificity or client context to support a meaningful rating.

Project management & delivery
Not enough data

No reviews reference project timelines, milestones, or delivery outcomes. All available content relates to internship experiences rather than client engagement management.

Communication & collaboration
Not enough data

Intern reviewers describe supportive senior staff and guidance, but no client-facing communication or collaboration data is present. These accounts do not meet the threshold for a vendor communication assessment.

Reliability
Not enough data

Two reviews mention 'quick and reliable service' and 'professional approach,' but neither contains supporting metrics or project context. One negative review alleges unsolicited contact, introducing a minor credibility concern.

Client satisfaction & outcomes
Not enough data

No reviews document tangible business outcomes, ROI, or project success metrics. The review pool lacks client-side voices with sufficient detail to evaluate delivered value.

Location and contacts

United States, San Francisco
2370 Market Street
94114
+18558668880
United States, Brooklyn
367 St Marks Ave, Unit #663
11238
+18558668880

Major clients

OMR Automotive
Giiava
VR Coatings