Co-founder
Fairgen
10/10Traction
Fairgen provides an AI-augmented research suite that leverages synthetic data to enhance market insights. The platform offers tools to augment low-incidence samples, impute missing survey data, and simulate audiences for faster testing. This technology enables users to achieve more reliable, granular analysis, especially for hard-to-reach segments.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Software Only
Updated 22 months ago
Funding
Raised to date
$8MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Ignia PartnersNo round attributed
- ignia.vc (opens in a new tab)investor website
MaverickNo round attributed
- maverick.vc (opens in a new tab)investor website
TAL VenturesNo round attributed
- tal-ventures.com (opens in a new tab)investor website
Funding rounds are not available yet.
Founders
Product
Problem
Market research often suffers from under-representation of specific demographic groups, leading to biased insights and inaccurate conclusions. Traditional methods of addressing this issue, such as oversampling, can be expensive and time-consuming. This lack of representative data hinders the ability to draw reliable conclusions about the entire target population.
Solution
Fairgen offers a data debiasing platform that leverages generative AI to create synthetic data points, effectively boosting the representation of under-sampled groups in surveys. The platform's core technology, Fairboost™, generates synthetic "boosters" that supplement existing survey data, increasing the statistical power and reliability of the results. By augmenting datasets with AI-generated samples, Fairgen enables researchers to achieve insights comparable to those obtained from significantly larger real-world datasets. This approach allows for more granular analysis and a deeper understanding of diverse consumer segments.
Target Audience
Fairgen primarily targets market research teams and consumer insights professionals who need to obtain reliable and granular insights from diverse populations.
Features
- Fairboost™: Generative AI models that create synthetic data to enhance the representation of under-sampled groups.
- Automated training and generation process, enabling users to upload data, train the AI model, and generate synthetic boosters in approximately 20 minutes.
- Validated 3x boost in data reliability through parallel testing, demonstrating the effectiveness of the synthetic data augmentation.
- Faircheck™: A tool to detect fraudulent and unwanted survey responses, improving the overall quality and reliability of insights.
- Report Automation: Automates the creation of presentation decks, reducing the workload associated with data analysis and reporting (Coming Soon).