What's coming

Product Roadmap

Our public roadmap reflects current priorities — subject to change as we learn from users. Have a feature request? Let us know.

Q2 2026 — NowIn progress

Multi-GPU Annealing GA

Performance

General availability of 8-GPU parallel annealing with automatic load balancing and fault tolerance. Extends problem size ceiling to ~40,000 variables.

On-premise Docker GA

Enterprise

Production-ready on-premise container with SSO integration, RBAC, and complete audit logging for regulated industries.

Streaming QUBO API

API

Submit incremental variable updates to a running solver job — enabling real-time re-optimization as constraints change.

Benchmark Hub v2

Platform

Community-submitted instances, automated nightly leaderboard refreshes, and solver comparison permalinks for sharing results.

Q3 2026Planned

Tensor Network Solver

Solver

A new solver category using matrix product states (MPS) — particularly strong on structured constraint satisfaction problems and near-planar graphs.

Real Quantum Hardware Backends

Quantum

Connect QAOA and VQE to real quantum processors via IonQ and IBM Quantum Cloud. Automatic fallback to simulation when hardware queue exceeds threshold.

AutoQUBO

Developer Experience

Describe your objective and constraints in Python and let AutoQUBO derive the QUBO matrix automatically. No manual penalty tuning required.

Team Experiments

Collaboration

Shared experiment workspaces where teams can co-own runs, annotate results, and track solution quality over time across projects.

Q4 2026Planned

NEROX Compute Clusters

Enterprise

Reserved GPU cluster plans for enterprise customers — dedicated A100 nodes with guaranteed throughput SLAs and no shared queue.

Constraint Programming Bridge

Solver

Bridge between CP-SAT (OR-Tools) and NEROX — automatically routes problems to the best solver based on structure, with fallback.

Explainability Layer

Platform

For each solution, the explainability layer surfaces which variables changed most between runs, energy landscape visualization, and constraint violation heatmaps.

Continuous Optimization Mode

API

Long-running solver jobs that accept real-time constraint updates and emit improved solutions as they arrive — for dynamic optimization applications.

2027 & BeyondResearch

Photonic Computing Integration

Research

As coherent photonic processors reach commercial availability, NEROX will provide a unified interface across photonic, quantum, and GPU solvers.

Neuromorphic Solver Backends

Research

Intel Loihi and BrainScaleS backend support for energy-efficient combinatorial optimization at the edge.

Autonomous Solver Selection

AI

Machine learning model that predicts the optimal solver and hyperparameter configuration from problem structure — zero configuration required.