Primal was founded as a privately-funded research lab to tackle the challenge of extracting meaning from vast amounts of unstructured, disorganized, and incomplete data. Initially focused on symbolic computing, the company’s efforts evolved into a hybrid model that merges the strengths of symbolic and neural methods. This hybrid approach has become the foundation of Primal’s AI strategy, blending multiple techniques in innovative ways to deliver superior performance compared to any single approach.
Over the years Primal has continually integrated cutting-edge advances in AI research, from knowledge graphs and semantic representation to deep learning, neural networks, neuro-symbolic techniques, and generative AI.
A key focus today is overcoming the tendency of generative AI to make things up, called hallucination, and continuing to address the original challenge of applying AI solutions to the vast amounts of unstructured, disorganized, and incomplete data within organizations.
As of 2024 we’re developing commercial solutions for industries that are cautious about AI. These solutions are backed by our 15+ years of applied research and our growing portfolio of over 170 international patents. By focusing on trustworthiness and accuracy, we make AI accessible and useful. We're tackling important challenges, and we’re looking for people who want to help us make a real difference. Join us to shape the future of AI and create solutions that matter.
