Frequently Asked Questions

How do you pronounce Cogitai?

Koh ji tie,  jə tī, or Koʊˈ dʒɪ taɪ, depending on which pronunciation system you prefer.

Where is Cogitai located?

Our official corporate address is in Orange County in Southern California, USA. However in practice, we are a fully distributed company, with employees in several cities across the US as well as a few in Europe. We make extensive use of online collaboration tools and host periodic in-person retreats to help foster a strong corporate culture.

What is Continua™?

Continua is the first commercially available self-learning AI SaaS platform. The Continua platform has the power to turn any process, system, software bot, or real robot into a self-learning autonomous service to drive actionable business outcomes.

What problem does Continua solve?

AI systems today require humans, usually lots of humans, to label data for training the Machine Learning algorithms. This time-consuming and error-prone process is a major bottleneck for making AI systems better. Continua solves this problem by enabling AI systems to learn. In addition, today’s commercial AI systems use AI to process data, which is then used by humans or hand-written scripts to make decisions. Continua expands the capability of commercial AI systems by allowing them to make the decisions on their own and to learn from every decision made.

What is “continual learning”?

Continual learning draws a distinction between the current emphasis within machine learning/reinforcement learning on narrowly-scoped, though possibly quite challenging, tasks and Cogitai’s emphasis on building learning systems that can learn simple knowledge and skills from early experience and then use them to learn more complex knowledge and skills from later experience in a continual positive feedback cycle.

Is continual learning a mature technology?

Continual learning builds on many exciting developments in machine learning, deep learning, and reinforcement learning. There is much that can be done already, but there is also still more research and development to be done. Cogitai has the leading researchers working on continual learning on its team.

What is “reinforcement learning”?

Reinforcement learning enables machine learning algorithms to choose actions and discover which sequences of actions lead to mastering a predefined task. This is applicable to many real-life problems. For example, when you drive to work, you make a long sequence of decisions, where each has an impact on your total commute time, and a decision that looks good at the moment might still lead to a traffic jam down the road. Reinforcement learning algorithms can figure out which decisions are best, even those made at the start of the drive.

What is the difference between what you are doing vs reinforcement learning?

Continua does Reinforcement Learning, Supervised Learning, and more. Our platform incorporates all the state of the art reinforcement learning algorithms, in addition to some of our own innovations. Continua allows commercial customers to use all these methods while we at CogitAI are simultaneously advancing the field, continually developing and incorporating new, more flexible, and more robust algorithms.

How do you pronounce Cogitai?

Koh ji tie,  jə tī, or Koʊˈ dʒɪ taɪ, depending on which pronunciation system you prefer.

Where is Cogitai located?

Our official corporate address is in Orange County in Southern California, USA. However in practice, we are a fully distributed company, with employees in several cities across the US as well as a few in Europe. We make extensive use of online collaboration tools and host periodic in-person retreats to help foster a strong corporate culture.

What is “continual learning”?

Continual learning draws a distinction between the current emphasis within machine learning/reinforcement learning on narrowly-scoped, though possibly quite challenging, tasks and Cogitai’s emphasis on building learning systems that can learn simple knowledge and skills from early experience and then use them to learn more complex knowledge and skills from later experience in a continual positive feedback cycle.

Is continual learning a mature technology?

Continual learning builds on many exciting developments in machine learning, deep learning, and reinforcement learning. There is much that can be done already, but there is also still more research and development to be done. Cogitai has the leading researchers working on continual learning on its team.

What is “reinforcement learning”?

Reinforcement learning enables machine learning algorithms to choose actions and discover which sequences of actions lead to mastering a predefined task. This is applicable to many real-life problems. For example, when you drive to work, you make a long sequence of decisions, where each has an impact on your total commute time, and a decision that looks good at the moment might still lead to a traffic jam down the road. Reinforcement learning algorithms can figure out which decisions are best, even those made at the start of the drive.

What is the difference between what you are doing vs reinforcement learning?

What we’re doing is reinforcement learning.  Our platform incorporates all the state of the art reinforcement learning algorithms, in addition to some of our own innovations.  We are simultaneously creating a platform that allows commercial customers to use reinforcement learning, and pushing the state of the art by developing and incorporating new, more flexible, and more robust algorithms.

What is Continua™?

Continua is the first commercially available self-learning AI SaaS platform. The Continua platform has the power to turn any process, system, software bot, or real robot into a self-learning autonomous service to drive actionable business outcomes.

What problem does Continua solve?

Continua solves the problem of today’s time-consuming and error-prone process of training AI systems by enabling systems to learn on their own.