Intelligent stability for networks and quantum systems
Our MNC Protocol™ delivers adaptive control across every layer — from physical links and transport to cloud and quantum — ensuring critical technologies stay resilient, efficient, and ready to scale.
The problem
Two fronts limit scale today. Networks waste capacity under volatility. Quantum systems hit decoherence that blocks progress.
Networks
Static correction wastes capacity
- Fixed policies overreact to short-lived volatility.
- Capacity and energy are consumed without improving outcomes.
- Instability grows at the edge as scale increases.
Quantum
Decoherence blocks scale
- Error accumulation overwhelms useful work.
- Static mitigation strategies fail as systems grow.
- Complexity rises faster than reliability.
The solution
MNC Protocol™ applies adaptive, intelligent correction only when required. The result is efficient, stable, and scalable behavior without exposing internal methods.
Before
Static correction with messy waveform
Fixed policies react to noise, consuming capacity and increasing instability.
After
Targeted correction with smoother waveform
MNC focuses effort where it matters and maintains stability.
Evaluate the impact across Edge, Core, and Silicon.
Networks
CohereX™
Efficient, stable behavior for networks across Edge, Core, and Silicon with SDK and API support, plus Sim/Viz for evaluation.
Why CohereX™
CohereX™ brings intelligent stability to networks by adapting in real time across layers — physical, transport, and control. Unlike static correction methods that waste resources or overreact, CohereX™ applies only the minimum necessary adjustment, exactly when and where it’s needed.
Built to integrate with existing stacks, it minimizes friction for adoption while maximizing resilience, efficiency, and scalability. With SDK and API toolkits for integration, and Simulation + Visualization suites for validation, CohereX™ empowers operators to deploy confidently and prove results before scaling.
Why QohereX™
QohereX™ delivers intelligent stability for quantum systems by addressing the central challenge of decoherence. Instead of relying on static error-correction stacks that struggle as qubits scale, QohereX™ adapts dynamically — preserving useful computation while minimizing wasted cycles and energy.
Offered in Core and Silicon options, QohereX™ is designed to integrate seamlessly with existing quantum toolchains. With SDK/API workflows for rapid prototyping and Sim/Viz suites for benchmarking, it enables researchers and operators to validate performance improvements before full deployment.
Quantum
QohereX™
Purpose-built stability for quantum systems with SDK/API compatibility and Sim/Viz for evaluation across Core and Silicon options.
Business impact
MNC Protocol™ powers CohereX™ (networks) and QohereX™ (quantum) to keep systems stable under volatility. Here’s where teams use it and the outcomes it unlocks.
Adaptive Stability
Networks
- Edge/WAN rate control and congestion smoothing
- 5G/RAN scheduling stability under bursty demand
- Datacenter throughput with lower packet loss
Quantum
- Pulse scheduling & calibration stabilization
- Error-mitigation control loops that reduce cascades
- Higher usable fidelity → more meaningful circuit depth
Silicon & IoT
- On-device governors for power/perf stability
- Sensor-fusion and control loop damping at the edge
- Steady inference for tiny/low-power ML
Cloud
- SLO-aware autoscaling & rate-limit control
- Back-pressure that protects core services
- Cost-efficient throughput under demand spikes
Platform and ecosystem
The shared layer behind CohereX™ and QohereX™ gives teams a fast path from evaluation to production: SDK & API for integration, a Simulation Suite for safe trials, and Visualization for clear decisions—secure by design.
SDK & API
- Typed clients and drop-in REST endpoints
- Idempotent control actions
- Observability hooks (metrics / logs)
Simulation Suite
- Scenario builder (burst, loss, drift)
- Repeatable experiments & reports
- Export to CI for regression gates
Visualization
- Live stability scores & SLO views
- Drill-downs by edge / core / silicon
- Exportable dashboards
Evaluate
Replay your traffic or pulse data in Simulation Suite. Validate gains under volatility.
Integrate
Wire the SDK into a pilot slice with observability on by default.
Scale
Roll out with guardrails: rate limits, back-pressure, and change windows.
Why now: volatile demand at the network edge, power limits on silicon/IoT, and a rapidly scaling quantum stack require stability that adapts in real time.
Request a pilot
We do not sell or share your data. No customer data is used for model training.