The startup develops artificial intelligence software that integrates human-derived knowledge into applications through machine comprehension, creating internal models that reflect human cognitive concepts. This technology enables businesses and consumers to enhance existing capabilities or develop new functionalities in a cost-effective manner.
Funding
$7.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Current AI systems struggle to truly understand and reason with human-like knowledge, often requiring vast datasets and significant computational resources. These systems lack the ability to efficiently integrate and apply common-sense reasoning in various applications.
Solution
New Sapience is developing Synthetic Intelligence (SI) through a cognitive architecture that synthesizes knowledge structures, enabling machines to think and learn more effectively. This approach bypasses the need for extensive datasets and supercomputers by focusing on engineering and classifying "atoms of thought" to build a compact model of reality. The SI cognitive core functions as a controlling schema, transforming information into knowledge and extending its internal model. This technology allows for common-sense reasoning, problem-solving, and the conversion of incoming information into functional models of the world.
Target Audience
The primary target audience includes individuals seeking companion AI, businesses looking to enhance customer support and automate complex systems, and developers interested in building SI-powered applications.
Features
- Cognitive Core Architecture: Synthesizes knowledge structures, eliminating the need for vast datasets and supercomputers.
- Applied Epistemology: Curates existing knowledge from human minds and converts it into synthetic information structures.
- World Model: A compact model of reality, initially modeling the common-sense world, with sufficient scope to decode and encode natural language.
- Role-Model Plug-ins: Specialized knowledge modules that enable the SI to emulate human roles, such as caregiver, tutor, or professional assistant.
- Synthetic Knowledge Toolkit: A development platform for building SI and SI plug-in modules.
- Knowledge Store: An online marketplace for SI and synthetic knowledge, featuring both company-developed and third-party modules.