AI-native infrastructure for scientific discovery, connecting scientific intelligence, laboratory execution and data into a continuous discovery loop.
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Design → Execute → Learn → Optimize. A complete closed-loop system connects scientific intelligence, laboratory execution and structured experimental data.
Purpose-built systems for high-precision, continuous experimental workflows. Automation, multi-instrument integration, safety controls and traceable execution work as one laboratory environment.
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The software layer that connects scientific decision-making, laboratory execution and experimental data. ExaMind provides scientific intelligence for experiment design, optimization and decision support. ExaCore orchestrates instruments, robotics, workflows and human approvals. ExaGraph structures experimental data and knowledge that compounds across every run. Available as part of ExaSynth laboratory systems and selected integration projects.
Energy & Batteries, Chemicals & Manufacturing and other experimentation-intensive R&D domains can use the same core platform.
ExaSynth brings together scientific intelligence, automation hardware and deployment expertise through an open and extensible ecosystem.
Built in Singapore for the next generation of scientific R&D.
EXAsynth is a Singapore-based deep-tech company building AI-driven autonomous experimentation platforms for chemistry, materials science, and advanced manufacturing.
We believe the next leap in scientific productivity will not come from AI that predicts alone, but from AI that can design, execute, observe, and learn from real-world experiments — autonomously.
EXAsynth sits at the intersection of Scientific AI, robotics automation, and experimental execution, enabling laboratories to move from manual, fragmented workflows to self-driving discovery systems.
Accelerate scientific discovery by closing the loop between intelligence and reality. We build systems where AI designs experiments, robots execute them, data is captured in real time, and models learn and improve continuously.
EXAsynth develops a full-stack autonomous experimentation platform spanning AI-driven experiment design and decision engines, robotic and automation orchestration, real-time data acquisition and feedback loops, and experiment management and analytics.
We focus on execution, where real data is created and real value is generated. The interface between AI and physical experiments enables faster R&D cycles, lower experimental cost, higher data quality, and scalable, repeatable discovery.
Self-driving laboratories as critical infrastructure. EXAsynth aims to become the execution layer for Scientific AI across pharmaceuticals, advanced materials, energy, and manufacturing.
Execution over speculation. Science-first engineering. Scalability by design. Long-term impact.
EXAsynth is building the foundation for autonomous science. Researchers, engineers, industrial partners, and investors are welcome to help shape the future of discovery.