We are an applied research company founded by MIT scientists
Resilience is more than bouncing back when disruptions occur. It's about turning adversity into strategic innovation, just as nature learns from failure, adapts, and evolves.
We engineer domain-specific solutions, specializing in strategic innovation. By embedding stress-recovery cycles into AI, we build systems that discover strategies to adapt and innovate for vertical AI applications.
Complex systems -whether in nature, markets, or business- face constant change and disruptions. Those that adapt toward beneficial outcomes thrive; those that can't suffer vast losses. Success depends on identifying and deploying the right strategies at the right time.
We use historical data and simulations to build domain-specific solutions with robust strategies to disruptions, transforming challenges into opportunities for growth.
Inspired by the iconic "move 37"—when AlphaGo, an AI trained by trial-and-error, discovered a brilliant strategy to defeat an expert human player in Go—this moment of "engineered adaptation" fuels our quest to turn disruption into innovation.
Nature shows us how systems adapt and thrive amid disruptions. Evolution crafts successful strategies— from modularity to feedback loops—that turn challenges into opportunities. Yet, engineering AI systems that discover such adaptative strategies remains challenging.
We translate these insights into practical AI architectures, fusing adaptive principles through symbolic rules and neural networks.
We engineer adaptive systems by merging neurosymbolic AI (specialized language models following symbolic rules) with simulation-driven optimization. The result? systems that discover robust strategies (e.g., mitigating risk, enhancing operations) across diverse domains.
As an applied company, we are decoding resilience in dynamic environments, from applied domains such as finance and digital commerce to scientific domains like AI-engineering.
Core Tech: Hybrid AI systems
Integration: Composite Architectures
Through systems engineering and neurosymbolic reasoning, we optimize performance across interconnected domains, advancing the development of collective operations.
Founded by scientists from MIT CSAIL and UNC Chapel Hill, bringing 12+ years of expertise in AI and complex systems. What began as an academic research lab at MIT has grown into Daice Labs, an applied research venture pioneering composite AI systems.
We blend technological depth with business leadership, backed by strong pre-seed investment and strategic partnerships. Setting roots in Boston's innovation hub, we're poised to shape adaptive AI systems.
"Together, let's simulate digital worlds, master resilience, and decode complexity"
"Where nature's resilence meets intelligent systems"
Daice Labs Inc.
Brookline, MA, USA
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