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
Efficiency Boost
Data reduction translates into 70–80x faster training times, enabling the model to learn faster and more effectively.
01
Quantbot Technologies
02
Engineers Gate
03
SMB Capital
04
T3 Trading Group
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.
Logan Etherton
CTO & Founder Veteran engineer with 20 years in development, specializing in data engineering, data pipelines, and model design.
- Key technical roles in 3 successful startup exits in the financial sector
- Expert in distributed systems, data pipelines, and millisecond-latency trading infrastructure
Jorge Rivero, PhD
Chief Data Scientist AI researcher, professor, and author with groundbreaking work in machine learning.
Jorge Rivero, PhD
Chief Data Scientist AI researcher, professor, and author with groundbreaking work in machine learning.
. 5 books
. Named in 13 patents
. Lecturer at multiple universities
- Pioneered zero-shot learning techniques for anomaly detection and network security
- Deep expertise in machine vision, unstructured data, and cross-modal transfer
Alan Mai
Lead Software Engineer Specialist in backend systems, exchange integrations, and low- latency trading engines.
Alan Mai
Lead Software Engineer Specialist in backend systems, exchange integrations, and low- latency trading engines.
- Specializes in backend reliability and low-latency execution systems
- Deep understanding of distributed systems, data pipelines, data engineering, and software security
Daniel Austin
Senior Network Architect Expert in secure, high-performance cloud networking for trading infrastructure.
Daniel Austin
Senior Network Architect Expert in secure, high-performance cloud networking for trading infrastructure.
- Focus on high-availability, low-latency data routing for trading operations
Katie Wright Moodie
COO & Co-Founder Startup operator with a track record in scaling systems and team execution.
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.
Julie Etherton, CPA
CFO Finance leader with deep expertise in audits, GAAP compliance, and multimillion-dollar budgets.
- Managed multimillion-dollar budgets, audits, and GAAP compliance for complex organizations
- Extensive expertise in financial controls, tax, and corporate planning
Orin Kramer, JD
Board Member Hedge fund founder ($300M+ AUM), policy advisor, and Columbia Law faculty.
Orin Kramer, JD
Board Member Hedge fund founder ($300M+ AUM), policy advisor, and Columbia Law faculty.
- Past roles at McKinsey, the White House Domestic Policy Staff, and Columbia Law School
- Published author and thought leader in financial regulation and policy
Dr. Bradley Park Etherton
Scientist with 50 patents, PhD from Johns Hopkins, and 30+ years in R&D and optimization.
Dr. Bradley Park Etherton
Scientist with 50 patents, PhD from Johns Hopkins, and 30+ years in R&D and optimization.
- 30+ years of experience in R&D. Expertise in research design, data analysis, and statistical modeling
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%.