Simulation-grade accuracy
Model real-world constraints, non-linearities, and uncertainties with solvers that go beyond classical heuristics.
Nexentum combines quantum-inspired algorithms and modern AI to help enterprises unlock better schedules, portfolios, and supply chains — without changing their existing systems.
Run complex scenarios in minutes instead of hours with hybrid quantum–classical solvers.
Nexentum sits on top of your current data stack and surfaces high-impact optimization insights for business, engineering, and operations teams.
Model real-world constraints, non-linearities, and uncertainties with solvers that go beyond classical heuristics.
Leverage quantum-inspired techniques on today’s hardware, while remaining ready for future quantum processors.
Secure, API-first architecture that plugs into your existing data warehouses, workflows, and visualization tools.
Optimize design spaces, production schedules, and maintenance windows to reduce downtime and increase throughput.
Enhance portfolio construction, risk allocation, and liquidity planning with quantum-inspired optimization workflows.
Improve routing, inventory positioning, and capacity planning under uncertainty using high-fidelity models.
Nexentum blends quantum-inspired algorithms, advanced numerical methods, and machine learning to tackle high-dimensional optimization problems.
Run Nexentum in the cloud, at the edge, or in your private environment.
*Illustrative outcomes based on pilot projects and simulations. Actual results vary by use case.
Nexentum is led by practitioners across quantum technologies, AI/GenAI, and mission-critical industries, bringing deep domain expertise to every deployment.
A cross-functional team of scientists, engineers, and technologists with experience in aerospace, finance, telecom, and advanced computing.
Structured engagement model that moves from discovery and proof-of-concept to scaled roll-out inside enterprise environments.
Share your use case and our team will follow up with a tailored discovery session.