High-Performance
Dynamic Graph Analytics
Solve dynamic shortest paths, combinatorial optimization, and NP-hard problems at unprecedented speed. Our proprietary algorithms deliver results in milliseconds, not minutes.
Faster updates
Updates/sec on 1M nodes
Incremental update latency
Nodes supported
Three Powerful Engines
GenusCore provides specialized engines for different problem types, all powered by our proprietary high-performance algorithms.
DynamicGraph
Real-time graph analytics with incremental shortest paths. Update edges and get new distances instantly without full recomputation.
- Incremental SSSP (1000x faster)
- 2,788 updates/second
- Real-time edge updates
SwarmOptimizer
Advanced optimizer for NP-hard combinatorial problems. Solve Max-Cut, graph partitioning, and QUBO problems at scale.
- Max-Cut optimization
- Graph partitioning
- High-quality solutions
IsingMachine
High-performance Ising machine for combinatorial optimization. Map problems to Ising/QUBO formulations and find ground states.
- Fast convergence
- Parallel solution attempts
- QUBO support
Simple Python API
Get started in minutes with our intuitive Python SDK. GenusCore handles all the optimization complexity for you.
- Works with compatible hardware (see requirements)
- NumPy-compatible arrays
- Comprehensive documentation & examples
from genuscore import DynamicGraph # Create graph with 1M nodes G = DynamicGraph(num_nodes=1_000_000) # Add edges G.add_edge(0, 1, weight=1.0) G.add_edge(1, 2, weight=2.0) # Compute shortest paths distances = G.shortest_paths(source=0) # Update edge weight G.update_edge(0, 1, weight=0.5) # Incremental update (1000x FASTER!) new_distances = G.update_shortest_paths(source=0)
Built for Performance-Critical Applications
Logistics & Routing
Real-time route optimization with dynamic traffic updates
Network Optimization
Minimize latency in communication networks
Supply Chain
Optimal facility placement and distribution
Drug Discovery
Molecular graph optimization at scale
Financial Modeling
Portfolio optimization and risk analysis
Chip Design
VLSI placement and routing optimization
Hardware-Locked Licensing
Licenses are bound to your specific hardware for security
Offline Validation
Works in air-gapped environments with cryptographic signatures
Protected IP
Proprietary algorithms delivered as compiled binaries
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