MaestroQA vs. MLReef

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
MaestroQA
Score 8.4 out of 10
N/A
MaestroQa is QA software that aims to drive customer loyalty. It provides unfiltered visibility into what's happening with agents, customers, CX processes, and business with a quality program built on MaestroQA.N/A
MLReef
Score 9.1 out of 10
Enterprise companies (1,001+ employees)
MLReef is a Machine Learning development platform that aims to democratize ML innovation across the entire organization. Distributed ML Development: - up to 5X in ML development throughput - up to 85% less dependency on internal data science capacity - Distributed workload on complex data tasks with seamless involvable domain experts - Higher acceptance of deploye models ad development is a joint task Q: What is Distributed ML…N/A
Pricing
MaestroQAMLReef
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
MaestroQAMLReef
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeOptional
Additional Details——
More Pricing Information
Community Pulse
MaestroQAMLReef
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Best Alternatives
MaestroQAMLReef
Small Businesses
Sogolytics
Sogolytics
Score 8.9 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Medium-sized Companies
CustomerSuccessBox
CustomerSuccessBox
Score 9.5 out of 10
Posit
Posit
Score 9.1 out of 10
Enterprises
Quadient Inspire
Quadient Inspire
Score 9.4 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
MaestroQAMLReef
Likelihood to Recommend
10.0
(1 ratings)
9.1
(1 ratings)
User Testimonials
MaestroQAMLReef
Likelihood to Recommend
MaestroQA
If you have a small to mid-size Contact Center, MaestroQA is a wonderful tool to measure the quality of service being delivered by your agents.
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MLReef
Works well if you have to involve different roles in different organizations in a project. Less suited when you have a complex system of custom developed tools
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Pros
MaestroQA
  • Monitors the quality of our agents
  • Provides a user-friendly front end
  • Provides detailed reporting
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MLReef
  • Helps us to take on more client projects
  • Can be used by data analysts as well as casual users
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Cons
MaestroQA
No answers on this topic
MLReef
  • Out of the box support for major cloud vendors
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Alternatives Considered
MaestroQA
NICE CXone has a great QMS - Quality Management System, but it comes at a much higher cost than MaestroQA
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MLReef
No answers on this topic
Return on Investment
MaestroQA
  • We saw an instant improvement in our Agent's quality
  • This is truly a collaborative tool - Quality Analyst - Agent
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MLReef
  • We can handle 4 to 6 times more projects at the same time with our team
  • We stay engaged with our customers well beyond the project duration
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ScreenShots

MLReef Screenshots

Screenshot of ML Pipeline creation - from fully flexible git repositories to addressable, explorable and easy accessible drag-and-drop elementsScreenshot of A knowledgebase for your organization: ML Projects and AI Modules (scripts)Screenshot of Full version control and transparent experiment trackingScreenshot of Repositories to manage your scripts (SCM) and data (pipelines)Screenshot of Manage your team, groups and projects with access rights and granular permissions