Next Wave of AI

12
Patents
15+
Research Publications
100s
of AI/ML Innovations
1000+
Man Years of AI Engineering

Why is Flytxt AI Robust & Powerful?

Causal Reasoning

Causal Reasoning

True cause-and-effect intelligenc

Causal Reasoning

Causal Reasoning

Flytxt AI identifies what genuinely drives outcomes, ensuring decisions influence business results rather than relying on correlations or proxies.

Explainability

Explainability

Decisions you can trust

Explainability

Explainability

Every action taken by Flytxt AI is logically explained, enabling transparency, regulatory confidence, and effective human oversight.

Federated Learning

Federated Learning

Global learning without data exposure

Federated Learning

Federated Learning

Flytxt AI continuously improves by learning across enterprises and markets while keeping sensitive data local, private, and secure.

Real-World Modelling

Real-World Modelling

A living digital twin of the marketplace

Real-World Modelling

Real-World Modelling

Flytxt AI continuously learns and updates an accurate representation of customers, products, constraints, and interactions in real operating environments

Counterfactual Simulation

Counterfactual Simulation

Test decisions before acting on them

Counterfactual Simulation

Counterfactual Simulation

Flytxt AI tests multiple “what-if” scenarios virtually and executes only those actions that are predicted to deliver the strongest outcomes with lowest risk.

Product suite

Flytxt AI Anchors Enterprise Marketplace Optimisation

Product Suite
01

Automate Tasks

Automates execution of tasks and workflows across channels to drive outcomes like marketing campaigns

02

Augment Decisions

Augments decision-making and assists business teams in executing specific tasks efficiently to improve business outcomes faster.

03

Agentify Workflows

Elevates productivity and innovation capacity by autonomously driving goal-directed workflows with minimal human oversight.

Infinite Impact: Success Stories across Marketplaces

Growing Assets Under Management (AUM)

Growing Assets Under Management (AUM)

  • AI recommended next best mutual funds for each investor
  • 7.45% conversions; 3.14% increase in AUM in a month
Increasing Micro-asset Business and Collection Efficiency

Increasing Micro-asset Business and Collection Efficiency

  • AI guided customers with contextual nudges and timely interventions while onboarding
  • 8% increase in monthly revenue
Accelerating Digital Business Growth

Accelerating Digital Business Growth

  • AI recommended next best insurance policy for existing customers
  • 2X higher inquiries generated; 12% higher new policy subscription
1 / 3
Elevating Customer Loyalty

Elevating Customer Loyalty

  • AI predicted inactive prepaid users; recommended next best offers to reengage them
  • 28% reduction in churn; 14% increase in monthly usage
Accelerating Product Revenue Growth

Accelerating Product Revenue Growth

  • AI personalized offers; identified preferred channels to serve offers to customers
  • 13.6X higher conversions; 2.5X higher purchase frequency
Increasing Digital Service Adoption

Increasing Digital Service Adoption

  • AI identified content fitting each customer’s interests; recommended them in real-time to drive adoption
  • 3.6% successful opt-ins; 8% increase in ARPU
1 / 3
Expanding the Active User Base

Expanding the Active User Base

  • AI personalised onboarding and nurtured user journeys across services driving sustained engagement at scale
  • 30% uplift in DAUs; 8% growth in MAUs
Accelerating Digital Services Revenue

Accelerating Digital Services Revenue

  • AI personalized content discovery across multiple services accelerating engagement and driving subscriptions
  • 18% increase in music streaming; 10% increase in infotainment viewership
Elevating Digital Experiences in Real-time

Elevating Digital Experiences in Real-time

  • AI predicted player inactivity and triggered personalized, real-time interventions reducing churn and improving engagement
  • 77% accuracy in identifying at risk users
1 / 3
Increasing Customer Servicing Efficiency

Increasing Customer Servicing Efficiency

  • AI predicted customer intent in real-time; provided agents with contextual insights
  • 60% accuracy in call intent prediction; 25% reduction in average handle time.
Elevating Workforce Productivity

Elevating Workforce Productivity

  • AI unified HR policies, documents, and real-time HRMS data into a single conversational self-service experience for employees
  • Improved employee experience through intuitive self-service

FAQ

What is Flytxt AI?

Flytxt AI is the patented core AI engine of Flytxt, designed to optimise enterprise marketplaces using causal reasoning, real-world modeling, federated learning, and explainable intelligence.

How is Flytxt AI different from traditional predictive AI?

Traditional AI predicts outcomes using correlations, while Flytxt AI reasons through cause-and-effect relationships. This enables stable, explainable decisions that directly drive business outcomes.

How does Flytxt AI differ from LLM-based AI systems?

LLMs generate responses based on language probability, whereas Flytxt AI models real-world business systems and economics. Its decisions are grounded in causal logic and validated through simulation.

What role does causal reasoning play in Flytxt AI?

Causal reasoning allows Flytxt AI to understand why outcomes occur and how actions influence results. This avoids spurious decisions and enables logically defensible, outcome-driven actions.

What is meant by real-world or marketplace modeling?

Flytxt AI creates a virtual representation of an enterprise’s marketplace, capturing customers, products, channels, and value drivers. This enables system-wide optimisation rather than isolated improvements.

How does Flytxt AI ensure trust and explainability?

Every decision is derived from causal models and tested using counterfactual “what-if” simulations before execution. This makes Flytxt AI’s actions explainable, auditable, and trustworthy.

How does Flytxt AI handle data privacy and global learning?

Flytxt AI uses privacy-preserved federated learning, where data remains local while intelligence is shared globally. This enables cross-market learning without data movement or regulatory risk.

Is Flytxt AI a platform, a model, or an engine?

Flytxt AI is a patented core AI engine that embeds intelligence for reasoning, learning, and optimisation. It is not a generic AI platform or a single predictive model.

What is the intellectual property strength behind Flytxt AI?

Flytxt AI is protected by 12 patents and more than 100 proprietary AI and ML innovations. These cover causal reasoning, federated learning, and real-world marketplace modeling.

What makes Flytxt AI difficult to replicate?

Flytxt AI is trained on more than 1 trillion real-world behavioural data points and built over 1,000 man-years of deep engineering. Combined with patented causal intelligence, this creates a level of maturity and scale that is extremely hard to copy.

Transform Enterprise Marketplace Efficiency with Flytxt AI

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Transform Enterprise Marketplace Efficiency with Flytxt AI