System Design
Grid configuration, generation portfolio, network structure and infrastructure selection.
Energy & Utilities
From grid design to dispatch to field crews.
Grid configuration, capacity allocation, unit commitment and field operations are decisions across a huge combinatorial space under hard reliability constraints.
The challenge
Why this decision gets combinatorially hard.
Which assets exist, which generators run and when, how storage charges, and how crews are routed are all NP-hard, and they interact across a grid that is getting more distributed and more variable. Optimizing each in isolation misses the coupling between design, dispatch and operations.
What we optimize
Concrete decisions, mapped to products.
Allocation
Generation capacity, storage resources, demand allocation and field resources.
Scheduling
Unit commitment, maintenance scheduling, storage charging/discharging and workforce schedules.
Routing & Network Operations
Field-crew routing, network paths and maintenance response.
Product composition
Composed from QuGradient products.
Highlighted products are the ones this industry composes most often. A specific engagement may use one, several or all four.
Potential business outcomes
The KPIs we optimize toward.
Dispatch cost
Reliability
Loss reduction
Asset utilization
Operational resilience
Outcomes are benchmarked on your own data against your current approach. We don't promise unsupported percentages.
How we engage
Assessment → Proof-of-Value → Integration.
Optimization Assessment
Map the decision, objectives, constraints, data readiness and baseline to candidate products.
Proof-of-Value
Benchmark QuGradient against your current solver, process or model — on your own data.
Deploy & Integrate
Integrate the successful capability into your applications, data platforms and compute.
Bring us the problem.
Share the decision, your objectives and constraints, and a representative slice of the data. We'll map it to the right products and tell you whether a benchmark or proof-of-value makes sense.
Discuss your energy optimization problem →