The engine behind the edge

Algorithmic Intelligence At Market Scale

Wall Street intelligence without Wall Street staffing.

The engine behind the edge

Algorithmic Intelligence At Market Scale

Wall Street intelligence without Wall Street staffing.

The engine behind the edge

Algorithmic Intelligence At Market Scale

Wall Street intelligence without Wall Street staffing.

The engine behind the edge

Algorithmic Intelligence At Market Scale

Wall Street intelligence without Wall Street staffing.

Market Timing

With AI now mainstream, we’re the first to launch a market-leading solution at the perfect time.

Our Product

Our product is a regime-aware predictive engine for time series data.

Our Clients, Partners in Lasting Innovation

Dynamic and Reliable Solutions

Who We Are

The Engine Behind the Edge

Executive Summary

KairoAI aims to be the last data platform you’ll ever need.

Self-learning. Self-regulating. Fully autonomous.

KairoAI aims to be the last data platform you’ll ever need. Self-learning. Self-regulating. Fully autonomous.

Leading to decisions that are fully transparent.

Proven Technology

The core platform has been built and validated through 4 years of development.

Scalable & Versatile

Applicable in finance, manufacturing, and distribution.

Rapid Revenue Potential

Short timeline from funding to revenue (6-12 months).

Seamless Integration

Fits into existing data pipelines, allowing companies with established data systems to use the product without disruption.

What We Do

Introducing KairoAI

KairoAI is an adaptive, regime-aware predictive engine that transforms chaotic data into actionable insights, guiding real-time decisions for businesses across industries.

Real-Time Insights

Turns non-stationary, noisy data into predictive signals that drive immediate business actions.

Automatic Learning

The system adapts to market changes in real time without human intervention, ensuring ongoing accuracy.

Risk Mitigation

Built-in mechanisms ensure that predictions are reliable, reducing business risks associated with decision-making.

How It Works

Traditional Approaches Train on Data. KairoAI Trains on Information.

Case Studies

Real Success Stories Powered by KairoAI

Profiling of five high-potential small-to-mid sized companies-either ideal customers or key competitors in each of
the six business models.

Efficiency Boost

Data reduction translates into 70–80x faster training times, enabling the model to learn faster and more effectively.

01

Quantbot Technologies

Basic profiling of five high-potential small-to-mid sized companies-either ideal customers or key competitors in each of the six business models:

02

Engineers Gate

Basic profiling of five high-potential small-to-mid sized companies-either ideal customers or key competitors in each of the six business models:

03

SMB Capital

Basic profiling of five high-potential small-to-mid sized companies-either ideal customers or key competitors in each of the six business models:

04

T3 Trading Group

Basic profiling of five high-potential small-to-mid sized companies-either ideal customers or key competitors in each of the six business models:

Defined by Results

Expert Team, Proven Expertise

Discover tailored Artificial Intelligence and Machine Learning solutions designed to streamline operations, boost efficiency

Our Team Includes

Lead AI researchers for some of the world’s largest companies, each possessing decades of experience.

 

Researchers:

Over one hundred patents held; lectured at universities across the world; published hundreds of times.

 

Developers with years of of experience building scalable applications. supporting millions of concurrent users, and managing terabytes of data.

Industry Leaders

An initiative of this scale requires world-class talent.

 

World-class talent is who we are.

 

Extensive experience in building and growing initiatives.

Logan Etherton

CTO & Founder Veteran engineer with 20 years in development, specializing in data engineering, data pipelines, and model design.

Jorge Rivero, PhD

Chief Data Scientist AI researcher, professor, and author with groundbreaking work in machine learning.

Alan Mai

Lead Software Engineer Specialist in backend systems, exchange integrations, and low- latency trading engines.

Daniel Austin

Senior Network Architect Expert in secure, high-performance cloud networking for trading infrastructure.

Katie Wright Moodie

COO & Co-Founder Startup operator with a track record in scaling systems and team execution.

Julie Etherton, CPA

CFO Finance leader with deep expertise in audits, GAAP compliance, and multimillion-dollar budgets.

Orin Kramer, JD

Board Member Hedge fund founder ($300M+ AUM), policy advisor, and Columbia Law faculty.

Dr. Bradley Park Etherton

Scientist with 50 patents, PhD from Johns Hopkins, and 30+ years in R&D and optimization.

Testimonials

Trusted by Innovators, Driven by AI Excellence

See how our KairoAI solution empower businesses worldwide to innovate, streamline operations

Frequently Asked Question

Your Questions Answered with Clear Insights

Explore our frequently asked questions to better understand how our KairoAI solutions work, and how they benefit your business.

Machine Learning is a subset of AI that uses data to learn and improve performance without explicit programming. AI is the simulation of human intelligence in machines, enabling them to think, learn, and make decisions.

Machine Learning is a subset of AI that uses data to learn and improve performance without explicit programming. AI is the simulation of human intelligence in machines, enabling them to think, learn, and make decisions.

Machine Learning is a subset of AI that uses data to learn and improve performance without explicit programming. AI is the simulation of human intelligence in machines, enabling them to think, learn, and make decisions.

Machine Learning is a subset of AI that uses data to learn and improve performance without explicit programming. AI is the simulation of human intelligence in machines, enabling them to think, learn, and make decisions.

Machine Learning is a subset of AI that uses data to learn and improve performance without explicit programming. AI is the simulation of human intelligence in machines, enabling them to think, learn, and make decisions.

Machine Learning is a subset of AI that uses data to learn and improve performance without explicit programming. AI is the simulation of human intelligence in machines, enabling them to think, learn, and make decisions.

Machine Learning is a subset of AI that uses data to learn and improve performance without explicit programming. AI is the simulation of human intelligence in machines, enabling them to think, learn, and make decisions.

Contact Us

Get in Touch, Let’s Innovate Together

Reach out to our team of AI specialists for inquiries, collaborations, or support, and let’s build smarter, future-ready solutions together

Extracting Hidden Information

A real-world example: 46m stock trades were evaluated by KairoAI. KairoAI extracted 99.8% of useful signals from 46m trades in just 1.3m data points, a computational efficiency improvement of 3,553%, with a corresponding increase in model accuracy of 291%.