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Scios.ai - Strategic Decision Intelligence for Consumer Market

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Introduction

Scios.ai builds human-centric AI to answer consumer market questions and help businesses make strategic decisions.

Scios.ai - Strategic Decision Intelligence for Consumer Market Product Information

Scios.ai – Strategic Decision Intelligence for Consumer Markets

Scios.ai is a human-centric AI platform that models how people make choices to answer WHY, WHAT-IF, and HOW-TO questions in consumer markets. It combines predictive modeling, digital twins of markets, and trusted human-AI collaboration to help organizations run fast, data-backed strategic decisions across product launches, pricing, marketing, churn reduction, and more. The platform emphasizes confidence, experimentation, and rapid scenario testing with zero risk.


How it works

  • Integrates multiple data sources and research into a parallel digital twin of the market, representing real consumers with values, perceptions, and decision drivers.
  • Uses predictive and prescriptive analytics powered by extensive behavioral economics research.
  • Enables enterprising experimentation: run several scenarios, compare outcomes, and make informed decisions with reduced risk.
  • Focused on human-AI collaboration to promote trust and adoption of insights.

Use cases

  • product launch: determine the optimal launch strategy
  • product design: identify features that drive competitiveness
  • product experience: improve experiences to fuel growth
  • quantify strategy: assess impact of purpose-driven initiatives on the bottom line
  • define strategy: balance short-term sales and long-term brand health
  • goal optimization: plan the budget required to hit revenue targets
  • pricing: simulate sales outcomes under price changes
  • marketing investment: optimize marketing spend for results
  • customer churn: reduce churn through informed interventions
  • touchpoint effectiveness: evaluate channel and touchpoint impact
  • promotions: analyze long-term effects on brand health

Core concepts

  • PREDICTIVE MODEL-AS-A-SERVICE: Self-service models capturing the physics of consumer decision making to deliver actionable analytics quickly.
  • DIGITAL CONSUMER TWINS: Virtual representations of consumers to configure and calibrate decision systems at market pace.
  • TRUST and INSIGHT for human-AI collaboration: Build reliability in outcomes through a human-centric narrative of cause and effect.
  • UNIFY: Harmonize data resources and embed your consumers into a digital market twin.
  • UNDERSTAND: Explore multiple predictive models to answer WHAT-IF and HOW-TO questions and derive deep customer insights.
  • GO AS FAR AS YOU CAN SEE AND YOU WILL SEE FURTHER: Run diverse options, spot problems early, and take proactive actions.
  • Scale metrics: $20B+ in investment decisions supported, 300+ models across wide-ranging applications, 60+ Fortune 500 clients, 70 FTE-years of development.

How to use Scios (high level)

  1. Define the strategic question (e.g., optimal pricing, best product feature set, ideal marketing mix).
  2. Connect data sources and calibrate the market digital twin with virtual consumers.
  3. Run scenarios and compare outcomes across KPIs such as revenue, profitability, growth, and brand health.
  4. Select a course of action backed by predictive insights and risk-free experimentation.
  5. Implement decisions and monitor impact, refining models as needed.

Safety and governance

  • Emphasizes human-centric decision making to promote trust and responsible AI adoption.
  • Enables scenario testing with zero risk to real-world outcomes during exploration.

Core Features

  • Predictive Model-as-a-Service with self-service access
  • Digital Twin of the Market to simulate consumer behavior
  • Virtual consumers representing human values, perceptions, and decision drivers
  • Scenario planning and What-If analysis across multiple options
  • Prescriptive analytics to guide optimal actions
  • Human-AI collaboration framework to foster trust and adoption
  • Data harmonization across multiple sources and research streams
  • Rapid experimentation to accelerate planning and execution
  • Solutions tailored for product launches, pricing analyses, and broad marketing decisions
  • Support for strategic decision making at enterprise scale (Fortune 500 clients, large budgets, diverse industries)