Maiorana Patent Law, PA

About MAI Labs, LLC

From Patent Practice to AI Research

For more than twenty-five years, my practice has focused on helping inventors protect new technologies. In recent years, the rapid advancement of large language models and generative AI raised a different question: could the architecture surrounding foundation models be improved to produce more reliable results?

Exploring that question led to the creation of MAI Labs, LLC, a research company focused on next-generation AI inference architectures. The patent applications now beginning to publish represent several years of independent research into how AI systems can more effectively incorporate authoritative information, govern reasoning, and improve reliability without changing the underlying foundation model.

Building the Next Layer of Artificial Intelligence

Large language models and vision-language models have changed how people interact with computers. Yet even the most advanced foundation models continue to exhibit familiar problems: hallucinations, inconsistent reasoning, loss of context, difficulty incorporating authoritative information, and the need for repeated prompting to obtain reliable results.

MAI Labs, LLC grew out of a fundamental observation. Despite remarkable advances in foundation models, many of the remaining failures are architectural rather than computational. Increasing model size alone does not solve problems such as incorporating authoritative information, maintaining consistent context, or governing how information participates in inference.

Rather than asking how to build a larger model, MAI Labs asks a different question:

How should information be prepared, governed, and delivered so that existing foundation models produce more reliable results?

Research Areas

Our research focuses on the infrastructure surrounding inference rather than the neural network itself.

Our current patent portfolio explores several related architectural themes.

Authoritative Information

Not all information should be treated equally.

Enterprise databases, proprietary knowledge, sensor inputs, policies, regulations, and user instructions each have different levels of authority. Our work explores architectures that preserve those distinctions throughout inference.

Information Assembly

Modern AI systems often concatenate information into a prompt and hope the model interprets it correctly.

Our research investigates deterministic mechanisms for assembling information from multiple sources before, during, and after inference.

AI Governance

Governance should not rely solely on instructions written into a system prompt.

We are developing architectures that allow policies, safety constraints, enterprise rules, and other governance information to participate directly in AI reasoning.

Cognitive Representation

Many AI failures occur before reasoning begins.

Research at MAI Labs investigates techniques for constructing better internal representations of a problem before inference starts, allowing existing models to reason over more accurate state descriptions.

Multimodal Intelligence

These architectural principles extend beyond language models.

Our portfolio includes work relating to vision-language models (VLM), autonomous systems, and multimodal inference where visual information, maps, enterprise knowledge, and other data sources must be combined into a coherent reasoning process.

Philosophy

Foundation models continue to improve rapidly. Rather than replacing them, we believe substantial gains can be achieved by improving the architecture surrounding them.

Our work focuses on making AI systems more reliable, more deterministic, and better able to incorporate authoritative information while preserving the flexibility of modern generative models.

Publications

Our research is being disclosed through a series of U.S. patent applications beginning in 2026.

Additional technical articles and commentary are published through our research blog.

Contact

We welcome discussions with researchers, technology companies, and potential licensing partners interested in AI inference architectures, governance systems, and related technologies.

office@MaioranaPC.com