THE ISSUES WITH MACHINE LEARNING

We are developing the first Cognitive Architecture that is capable of detecting and predicting change in real time.

The cost of ML

For most processes Machine Learning is not a feature, but an implementation detail. We believe that automation should not disrupt operations, increase costs or force the talent out of their comfort zone.

Rapid Evolution

For the last ten years, every ML solution became obsolete within 6 months after being published. The only possible strategy, when using Machine Learning for work rather than research, is to constantly upgrade and remain flexible.

Model-Driven Process

When choosing the right ML technology, it is necessary to consider and test every possible model and compare the results, rather than tweaking the data to match the expected results. Real data is complex but it should always be used unaltered.

Model-Selection Bias

AI Agents have no bias towards the ML technology that they use. They have no “favourite” algorithms and they are not afraid of failure. But they are relentless in finding the best solution for each statistical problem.

OUR APPROACH

By listening to the problem before developing a solution, and setting realistic timelines, we don't promise but instead we guarantee results.

Executive Briefing

We explore the problem during several hour-long executive meetings, paying specific attention to the implementation issues and the process’ unique characteristics. Once a possible solution is found, we begin the cooperation.

Technology Assessment

We develop a general solution internally, using sample or public data. During this week we create the specific decision-making rules that allow the AI to understand the problem and find the right solution.

Production Trial

For the next month and a half we create a perfectly simulated work environment for the AI Agent, which utilises real data. There, the results can be observed, problems are corrected and the finished product is perfected.

Cost-saving and Reliable

Waypoint AI Agents are gradually deployed and scaled during a three to six months period, while the simulated work environment continues to operate as training for the AI when new Machine Learning models are published.

A NIMBLE SOLUTION WITH A LOT OF TOOLS

Our mission is the development of the first multi-model Machine Learning architecture capable of detecting & predicting change in real-time.

45

Proprietary Datastreams

45,067,211

Decision-Making Events

92

ML Models

958

Decision-Making Nodes

HOW AUTOML 2.0 WORKS

ML is Statistics. AI is Cognitive Science.

DESCRIBE

First, you instruct the AI with our simple user interface. You don’t need any prior knowledge of Machine Learning or Artificial Intelligence. Our tool will guide you through selecting the best Agent, how to share your data and defining the desired result.

EXPLORE

Once the AI has trained and tested the ML model you will get the resulting data to analyse. We know you have your favourite tools for data visualisation and analysis. Our system will allow you to connect them to the model output and stay in your comfort zone.

AUTOMATE

Rather than relying on a single Machine Learning solution, Waypoint AI Agents are constantly evolving and improving by running parallel simulations, applying the best at any given time. Instead of using a single ML technology all the time, the AI tests and evaluates new ML algorithms as they become available.

DIFFERENT SOLUTIONS FOR ANY PROBLEM

The AI Agent receives the Problem, observes the Data, trains and deploys any ML algorithm, reports the results and constantly improves the process autonomously.

Confident

“ADA” is the first Agent developed by Waypoint AI, she is a specialist in Predictions using Live Cross-Sectional Datastreams (LCSDs). She is capable of autonomous reasoning when it comes to “connecting the dots” between independent processes and she is best used for predicting outcomes of situations where the user has limited or no control.

Curious

“BEN” is the newest Agent to enter production at Waypoint AI. He is most comfortable with Forecasting (What will happen) and Diagnostics (Why did it happen) of Time-Series Data. He is popular with consultants and engineers for the ability to independently “dive” into very large, messy Datasets and to find the dominant causes of a certain event.

Leader

A pure decision-making AI, rather than the more problem-solving oriented ADA and BEN, HAVOC replicates the ability of a human observing, deciding and acting. She is capable of activating and instructing the other Agents to generate predictions based on the decisions that she needs to make, acting as the Leader in any AI-controlled environment.

Creative

“PAN” explores the Problem-Space described by the works of A. Newell and H. Simon since 1972. He is based on the Delphi Method, also known as Estimate-Talk-Estimate, and he is the result of the founder’s work with prototype quantum computing systems.

OUR SERVICES

From true AI-as-a-service to in-depth consulting and custom solutions. From shared cloud to dedicated solutions. We have you covered.

Flexible Subscription Model

With our subscription model, you can use Waypoint AI as much as you want and when you need it. Everything is included by one simple monthly fee.

Pay as You Use

If you don’t want financial commitments our Pay as You Use provides flexibility and full control over spending. You will pay only for what you use and nothing more.

Partnership

If you need something more complex and integrated with your systems, all you need to do is show us the problem. During the partnership we build and maintain a bespoke solution tailored to your needs.

Consultancy

Do you want to use AI in your business but not sure where to start and what benefits it can provide? We are here to help. We will work with you to find the best ways your business can grow using AI.

TOGETHER WE REIMAGINE HOW WE MAKE DECISIONS

Waypoint AI redefines data and decision-making science, raising the bar with our automated processes that deliver much greater accuracy, with a nimbler process than current providers.