VISION
Building the optimization layer for AI
We're building the company that will define the next era of AI computing: starting with robotics data, expanding to optimization infrastructure, and pioneering quantum-native AI.
NOW
Active FocusRobotics Data Engine
Superpose is rooted at the intersection of ML, robotics, and quantum algorithms. We begin by solving one of robotics AI's highest-ROI problems: training data efficiency.
Our Robotics Data Engine uses mathematical optimization to curate datasets for foundation models. By treating data selection as a constrained optimization problem, we help teams achieve better coverage with dramatically less data.
NEXT
In DevelopmentOptimization Engine Platform
The core technology we're building (mathematical optimization for data selection) extends beyond robotics. Our hybrid ILP/greedy solvers and embedding-based coverage algorithms are domain-agnostic infrastructure.
As we validate our approach in robotics, we're building toward a general-purpose optimization platform that can be applied wherever training data efficiency matters: autonomous systems, foundation models, and multimodal AI.
FUTURE
R&DQuantum-Native AI
We believe the next decade will mark the beginning of a new computing era: one where quantum algorithms accelerate and redefine AI performance. Just as GPUs reshaped deep learning in the 2010s, quantum-native computing will transform what's possible in AI systems that interact with the real world.
Superpose aims to lead this transition by developing the first practical quantum applications in AI and robotics, and eventually, across domains where classical methods are reaching their limits.
ROADMAP
Our journey
2025-2026
Robotics Data Engine
2027
Optimization Platform
2028+
Quantum-Native AI