memetica.ai
  • Whitepaper
    • Introduction
      • What is Memetica
      • Quick start
      • Key differentiators
    • Executive Summary
      • What do we (currently) solve
      • Why do we need crypto?
      • How Memetica stands apart
    • Architecture & Tech Stack
      • Datasets, engine and rails
    • Roadmap
    • Tokenomics
      • The $MEMETICA token
      • Revenue generation
      • Staking and rewards
    • Security & Compliance
    • About us
      • Team and advisors
      • Partnerships and collaborations
  • User Guide
  • Introduction
    • What is Memetica
    • Basic agent creation
    • Advanced agent creation
    • Crypto and financial features
  • Platform and automation
    • Key functionalities
    • Basic agent automation
    • Advanced agent automation
  • Developing your personas
    • Advanced persona creation
    • Advanced influencer tactics
  • Use cases
    • Social influencers
    • Long-form content
    • Crypto trading
    • Future use cases
  • Pricing
  • FAQs & Troubleshooting
    • FAQs
    • Common pitfalls
Powered by GitBook

Links

  • Website
  • App

© 2025 Qstarlabs All Rights Reserved

On this page
  1. Whitepaper

About us

Our background at QStarLabs

Our background is mostly in Applied AI in academia and quantitative finance, with some cloud computing and ad-tech expertise. We specialize in building distributed data systems and maintaining datasets that address complex real-world problems and are capable of ingesting, storing, and processing terabytes of data while maintaining reliability and scalability.

Social media is much like financial markets from an applied AI perspective. There is a lot of noise within the data and human behavior is often unpredictable. That’s why our approach to social media applies the same principles of quantitative finance: we must define the problem and goal, construct the data set, and reward strategic behavior.

PreviousSecurity & ComplianceNextTeam and advisors

Last updated 4 months ago