Multimodal AI
Combining language, speech, vision, context, and memory into systems that work with people.
Engineering intelligent systems that extend what people can perceive, understand, and accomplish. Human-directed AI, practical autonomy, and research grounded in real-world use.
Combining language, speech, vision, context, and memory into systems that work with people.
Developing tool-using workflows with human direction, evidence, visibility, and controls.
Testing, evaluation, and observable behavior as core parts of intelligent system design.
V2 is our research platform for a multimodal personal AI assistant, integrating reasoning, memory, speech, vision, tool use, and workflow automation. Development and validation are ongoing; it is not a released commercial product.
We investigate how capable AI systems can remain understandable, directed, and useful in complex real-world settings—including opportunities for education and knowledge work.
Atlatl Systems is developing its research and engineering programs. Visit atlatlsystems.com for company updates.