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What is Minds?

Minds is a cutting-edge synthetic market research platform designed to test various concepts, messages, brands, products, and strategic hypotheses through customizable AI-driven customer panels. Users have the flexibility to define their target demographics, create structured study designs, and assess their plans before execution, enabling both qualitative and quantitative research approaches. Moreover, the platform allows for comparison across different audience segments and facilitates the exportation of collected data for additional analysis. It also supports multilingual research, provides reusable audience configurations, and includes collaborative workspaces, while ensuring secure API access and featuring a public Model Context Protocol (MCP) server to enhance agent workflows. Aimed at market researchers, insight teams, product developers, brand strategists, agencies, and entrepreneurs, Minds proves to be particularly beneficial for those seeking swift directional insights, all while keeping significant decisions subject to review and ensuring that critical findings are backed by human research. This well-rounded functionality positions it as an essential tool for professionals navigating the ever-evolving landscape of market analysis, making it a reliable companion for informed decision-making processes.

What is Beehive AI?

Unlock hidden opportunities and investigate impactful methods to grow your business. Assess which new offerings could augment the value of your sales portfolio. Tailor your marketing communications and outreach efforts to suit naturally developed customer groups, reducing your acquisition costs. Recognize the barriers and incentives that affect customer loyalty within different segments. Actively interact with your audience by regularly asking clear, relevant open-ended questions through social media ads, emails, messaging, and throughout the entire customer journey. Gather and analyze the feedback obtained, leveraging AI to effectively classify motivations, needs, and desires. This process will provide you with ongoing, in-depth insights that empower you to execute personalized strategies, ensuring consistent growth. By adopting this method, you not only strengthen your relationships with customers but also enhance your capability to adapt to their changing preferences over time. This dynamic approach creates a feedback loop that can lead to innovative solutions and improved customer satisfaction.

Media

No images available

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$0/month, paid from $39/month
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Minds AI Labs, Inc.

Date Founded

2025

Company Location

United States

Company Website

getminds.ai

Company Facts

Organization Name

Beehive AI

Company Location

United States

Company Website

www.beehive.ai/

Categories and Features

Market Research

Benchmarking
Compensation Management
Data Management
Email / Online
Face-to-Face
Panel Management
Paper-Based
Phone-Based
Sample Management
Statistical Analysis
Survey Management

Categories and Features

Market Research

Benchmarking
Compensation Management
Data Management
Email / Online
Face-to-Face
Panel Management
Paper-Based
Phone-Based
Sample Management
Statistical Analysis
Survey Management

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

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