Seer V1
Infrastructure & Grid Optimization Engine
Seer V1 keeps a live simulation of the network it operates on. Rather than extrapolating yesterday's load curve, it models how power actually moves through the grid: the causal dependencies between nodes, the uncertainty in demand, and the downstream effect of every routing decision available to an operator right now.
The system Seer runs on.
The electricity system is a large annual market, a heavy capital-investment cycle, and a significant reliability exposure all at once. Those three facts are the case for modelling it properly.
How large is the electricity system?
How much capital is being deployed?
How much of that is grid-specific?
What does it cost when reliability fails?
Built for the control room.
Seer V1 is a mission-critical predictive analytics and real-time decision model for intelligent energy grid management, built for utility developers, grid operators, and infrastructure architects.
Forecasting
Load, generation, and network state projected across the horizons an operator actually plans on, each forecast carrying its own calibrated uncertainty.
Multi-horizon, multi-agent planning
Plans that hold across horizons and across the actors on the network, rather than one optimal path computed for one actor in isolation.
Fault prevention
Preventive routing actions issued before a fault propagates, bounded by the constraints the network has to keep operating inside.
Proactive anomaly detection
Divergence from expected behaviour surfaced while it is still forming, with how likely it is and how fast it develops attached to it.
The control interface.
A high-fidelity interactive simulation and monitoring surface, built on top of standard power distribution topologies such as the OpenDSS-IEEE 13-Bus and 123-Bus feeders.
Reference architecture
Deployed natively over a standard OpenDSS-IEEE 13-Bus Test Feeder blueprint.
Granular node mapping
Full visualization of discrete electrical devices, distributed energy resources, and every asset attached to a given bus or node.
Edge diagnostics
Click-to-expand edge inspection, revealing real-time transmission metrics, impedance calculations, and line load data.
Bus and asset telemetry
Interactive node interrogation, showing full bus status alongside live telemetry for every downstream attached device.
Action-based closed-loop simulation
User-selectable operation vectors that change how the environment evolves, so what-if scenarios can be stress-tested safely over flexible time horizons.
Modular customization
An extensible framework for adapting grid constraints, load profiles, and network topologies to the system being operated.
At a glance.
- Target domain
- Critical utility networks, smart grids, and localized energy infrastructure
- Built for
- Utility developers, grid operators, and infrastructure architects
- Reference architecture
- OpenDSS-IEEE 13-Bus Test Feeder, extensible to 123-Bus and comparable topologies
- Status
- In private early access
Anticipate tomorrow. Act today.
Get early access to Seer V1, Oracle V1, and Sage V1, our action-based generative models for grid optimization, market prediction, and enterprise orchestration.
Request early accessSources
- 1U.S. Energy Information Administration, United States Electricity Profile 2024
- 2Statistics Canada, Electricity supply and disposition, 2024 (preliminary)
- 3Edison Electric Institute, 2024 Financial Review
- 4Statistics Canada, Non-residential capital and repair expenditures, 2023 (revised), 2024 (preliminary) and 2025 (intentions)
- 5Edison Electric Institute, Industry Data
- 6Statistics Canada, Table 34-10-0063-02, Capital expenditures, non-residential tangible assets, by type of asset and geography, energy
- 7Oak Ridge National Laboratory, Analysis shows power outages cost US electricity customers billions
- 8S&C Electric, The True Cost of Outages in Canada: $12 Billion