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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Electric Twin is an innovative platform that utilizes AI to simulate synthetic audiences by constructing virtual populations based on actual data, enabling teams to swiftly forecast the thoughts, behaviors, and responses of target consumers concerning products, messages, campaigns, and strategic inquiries without the need for conventional surveys or focus groups. By integrating advanced language models, machine learning techniques, and insights from social science, it generates intricate synthetic personas that authentically reflect real-world demographics, allowing for rapid queries that yield insights with statistical accuracy akin to traditional research methods, often achieving results in mere seconds rather than the weeks typically required. This capability empowers organizations to evaluate marketing copy, product concepts, campaigns, and market hypotheses, facilitating quick iterations across various segments and enabling them to investigate responses from diverse demographic groups, ultimately expediting insights that would otherwise necessitate expensive and time-consuming field studies. Consequently, Electric Twin not only enhances decision-making efficiency but also reduces research costs, making it an invaluable tool for businesses aiming to stay ahead in a competitive landscape.

Description

Minds serves as an advanced synthetic market research platform that enables the testing of concepts, messages, brands, products, and strategic hypotheses using customizable AI-driven customer panels. Users can specify target audiences, create structured study plans, and review their designs prior to implementation, allowing for both qualitative and quantitative research methodologies. Additionally, it offers the capability to compare different segments and export gathered evidence for further analysis. The platform also accommodates multilingual research, facilitates reusable audience configurations, provides collaborative workspaces, ensures secure API access, and includes a public Model Context Protocol (MCP) server to streamline agent workflows. Tailored for market researchers, insights teams, product developers, brand strategists, agencies, and entrepreneurs, Minds is especially valuable for those in need of prompt directional insights while ensuring that significant decisions remain open to review and high-stakes findings are substantiated through human research. This comprehensive approach makes it a versatile tool for anyone engaged in the dynamic field of market analysis.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

No images available

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

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

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Electric Twin

Founded

2023

Country

United Kingdom

Website

www.electrictwin.com

Vendor Details

Company Name

Minds AI Labs, Inc.

Founded

2025

Country

United States

Website

getminds.ai

Product Features

Audience Intelligence

AI / Machine Learning
Audience Segmentation
Competitive Intelligence
Content Tracking
Data Visualization
Data-Driven Insights
Filters / Search
Image Recognition
Sentiment Analysis
Social Listening
Social Media Analytics
Trend Tracking

Product 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

Alternatives

Alternatives