SUBSTRATE GENERATIVE AI

AI LLM MODELS
WITH SUITE OF SOLUTIONS

for complex tasks in government and business

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Responsibility

We offer a total decision governance of AI to ensure ethical use of AI and the absence of black boxes to meet all the standards of the new regulations on the use of AI.

Usability

Not only do we create the heart of your company, but we also provide you with the more advanced tools for the optimal use of this heart, unleashing the power of AI to power a more efficient and sustainable economy.

Sovereignty

A new AI heart for your company or government with full control of your data. We create your own foundational model with an on premise system that allows you to be independent and control where your data is and what it is used for.

What we do

Imagine a future where technology not only understands your organization’s needs, but also adapts and evolves with it. That’s what our Generative AI Custom Models and tools deliver.

These solutions are strategic partners that understand the language of your business and integrate seamlessly into your ecosystem to empower businesses and governments with the most advanced generative AI technology and new tools to gain a decisive advantage in the thriving AI economy.

We work for clients around the world applying AI solutions in their organizations:

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Technology

Leveraging their rich backgrounds in research and development since 2017, Bren Worth and Mei Si have significantly impacted the realms of reinforcement learning and Large Language Models (LLMs), contributing to the advancement of AI technology with their pioneering work. Their efforts have led to innovative developments, many of which have been patented or are undergoing the patent process, and are now fundamental components of various AI applications.

Bren Worth’s Contributions:

With 17 patents in progress, Bren Worth has been at the forefront of innovation in reinforcement learning and the development of distributed model architectures for LLMs. His work has been instrumental in enhancing the capabilities and efficiency of AI systems, setting new standards for the industry. These patents represent a leap forward in making AI systems more adaptable, intelligent, and capable of handling complex tasks with unprecedented precision.

Mei Si’s Research and Development:

Mei Si, who is also an associate professor of cognitive science at Rensselaer Polytechnic Institute in New York, has a rich history of collaborating with industry giants like IBM, Amazon, and Disney. She has made significant contributions across various AI domains. Recently, her research has concentrated on advancing Large Language Models, exploring their potential and pushing their capabilities further. Over the past years, her efforts have led to key discoveries and developments poised to influence the future of AI technology.

Collaborative Efforts:

Bren and Mei collaborated on a previous paper on Reinforcement Learning, which introduced a model of emotions. This innovative research has become a cornerstone technology within Meta-Control solution on Serenity AI Hub ecosystem, illustrating their collective expertise and vision in enhancing AI’s ability to understand and process human-like emotions and responses, thereby enriching AI’s interaction with the world.

Our experience

Their collective contributions, encompassing patents, research papers, and collaborative projects, underscore their pivotal roles in advancing AI technology. Explore their notable patents and research to delve deeper into the innovations that Bren Worth and Mei Si have brought to the field of AI.

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Paper 1

Integrated Multi-Task Agent Architecture with Affect-Like Guided Behavior

By Bren Worth of Substrate AI and Mei Si of Rensselaer Polytechnic Institute of NY

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Paper 1

Integrated Multi-Task Agent Architecture with Affect-Like Guided Behavior

By Bren Worth of Substrate AI and Mei Si of Rensselaer Polytechnic Institute of NY

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Paper 3

Visual Story Generation Based on Emotion and Keywords

By Yuetian Chen, Ruohua Li, Bowen Shi, Peiru Liu, and Mei Si of Rensselaer Polytechnic Institute of NY

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Paper 3

Visual Story Generation Based on Emotion and Keywords

By Yuetian Chen, Ruohua Li, Bowen Shi, Peiru Liu, and Mei Si of Rensselaer Polytechnic Institute of NY

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Paper 6

Towards a Proper Evaluation of Automated Conversational Systems

By Abraham Sanders, Mara Schwartz, Albert Chang, Shannon Briggs, Jonas Braasch, Dakuo Wang, Mei Si and Tomek Strzalkowski

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Paper 6

Towards a Proper Evaluation of Automated Conversational Systems

By Abraham Sanders, Mara Schwartz, Albert Chang, Shannon Briggs, Jonas Braasch, Dakuo Wang, Mei Si and Tomek Strzalkowski

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Patents

We have 17 patents in progress

Managed by Cooley LLP in the U.S.

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Patents

We have 17 patents in progress

Managed by Cooley LLP in the U.S.

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Paper 4

Towards a Progression-Aware Autonomous Dialogue Agent

By Abraham Sanders, Tomek Strzalkowski, Mei Si, Albert Chang, Deepanshu Dey, Jonas Braasch (Rensselaer Polytechnic Institute of NY) and Dakuo Wang (IBM Research, USA)

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Paper 4

Towards a Progression-Aware Autonomous Dialogue Agent

By Abraham Sanders, Tomek Strzalkowski, Mei Si, Albert Chang, Deepanshu Dey, Jonas Braasch (Rensselaer Polytechnic Institute of NY) and Dakuo Wang (IBM Research, USA)

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Paper 7

A Corpus for Commonsense Inference in the Story Cloze Test

By Bingsheng Yao, Ethan Joseph, Julian Lioanag and Mei Si of Rensselaer Polytechnic Institute of NY)

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Paper 7

A Corpus for Commonsense Inference in the Story Cloze Test

By Bingsheng Yao, Ethan Joseph, Julian Lioanag and Mei Si of Rensselaer Polytechnic Institute of NY)

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Paper 2

Step-by-Step Thinking Instructions for Humor Generation

By Yuetian Chen, Bowen Shi and Mei Si of Rensselaer Polytechnic Institute of NY

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Paper 1

Step-by-Step Thinking Instructions for Humor Generation

By Yuetian Chen, Bowen Shi and Mei Si of Rensselaer Polytechnic Institute of NY

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Paper 5

Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework

By Matthew Pisano, Peter Ly, Abraham Sanders, Tomek Strzalkowski and Mei Si (Rensselaer Polytechnic Institute of NY) and Bingsheng Yao and Dakuo Wang (Northeastern University)

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Paper 5

Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework

By Matthew Pisano, Peter Ly, Abraham Sanders, Tomek Strzalkowski and Mei Si (Rensselaer Polytechnic Institute of NY) and Bingsheng Yao and Dakuo Wang (Northeastern University)

Current job

We are working on the next generation of generative AI by applying this technology so that businesses and governments can use it to build a more sustainable economy. This work has been developed in two ways:

1. New generation of tools. Our AI Specialized Co-Pilots are more than just assistants; they are intelligent collaborators who work side-by-side with your team. Imagine having an expert in every area, always available to provide real-time data analysis, insight-based suggestions and optimized strategies for every challenge. These co-pilots free your team from the burdens of routine tasks, allowing them to focus on what really matters: innovation and strategic growth.

2. Language models. We are developing LLM models for enterprises and governments to take AI to the next level, all of them in the cloud or on premise to be able to control the data.lar los datos.

Team