Fantix Revenue and Competitors

Location

$2M

Total Funding

AI

Industry

Estimated Revenue & Valuation

  • Fantix's estimated annual revenue is currently $1.8M per year.(i)
  • Fantix's estimated revenue per employee is $142,154
  • Fantix's total funding is $2M.

Employee Data

  • Fantix has 13 Employees.(i)
  • Fantix grew their employee count by -13% last year.

Fantix's People

NameTitleEmail/Phone
1
CEO & Co-founderReveal Email/Phone
2
Co-Founder and Head OperationsReveal Email/Phone
3
Co-Founder, Head Architecture, Privacy and EngineeringReveal Email/Phone
4
Head GTMReveal Email/Phone
5
Head ProductReveal Email/Phone
6
Head BD, PartnershipsReveal Email/Phone
7
Research And Development SpecialistReveal Email/Phone
8
Lead UX | Product Designer | Service DesignerReveal Email/Phone
9
Data EngineerReveal Email/Phone
Competitor NameRevenueNumber of EmployeesEmployee GrowthTotal FundingValuation
#1
$7.7M317%N/AN/A
#2
$450.4M225288%N/AN/A
#3
$7M2847%N/AN/A
#4
$36M118-23%$55MN/A
#5
$1M7N/AN/AN/A
#6
$7.9M4316%$458KN/A
#7
$4M27350%$7MN/A
#8
$15.4M58-16%$18.3MN/A
#9
$24.9M82-5%$20MN/A
#10
$3.6M261200%$10MN/A
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What Is Fantix?

Fantix is an AI platform for business data science. We train robust machine learning models without pooling user-level data, thus protecting consumer privacy and business confidentiality.\n\nOur models include:\nYellowcake™️: a universal, generative model for consumer data enrichment that is capable of predicting hundreds of attributes of a consumer without knowing their identity. It is trained on a large variety of datasets of payment transactions (merchant and SKU-level), mobility data and demographics, and is over 90% accurate.\n\nFusion™️: a federated audience builder that creates lookalike and advanced targeting audiences for advertisers. Leveraging advanced deep learning techniques and federated data from multiple partners, this system ensures enhanced precision and privacy in audience targeting.\n\nSupernova™️: a model that generates synthetic data sets, designed to mimic real world data without being PII. Financial institutions use these privacy-proof datasets to research stocks, product teams use them for market research. Trained on credit card transaction data and mobility data, these models are available mapped by merchant and SKU.\n\nLightID™️: a cookieless ID resolution model that identifies up to 90% of site visitors (it can positively identify unlogged traffic).

keywords:N/A

$2M

Total Funding

13

Number of Employees

$1.8M

Revenue (est)

-13%

Employee Growth %

N/A

Valuation

N/A

Accelerator

Company NameRevenueNumber of EmployeesEmployee GrowthTotal Funding
#1
$1M13-13%N/A
#2
$1.6M1330%N/A
#3
$1M13-7%N/A
#4
$1.6M13N/AN/A
#5
$1.1M13N/AN/A