Real-time control
Weighs load, energy sources, storage and system health together, and makes the decision on site.
Technology
Decisions are made where the energy flows.
We treat the layers of energy infrastructure as one system working together. We design the hardware, embedded software, models and control software together.
- 1Cell module · every cell measured
- 2Cell drifting · seen in the measurement
- 3Measurement board · cell-level channels
- 4Isolation barrier
- 5AI-accelerated processor · decides on site
- 6Power stage · carries out the decision
- 7Measurement up
- 8Decision down
Isometric view · not to scale
Layer map
Measurement flows up, decisions flow down.
The same measurement and decision layer runs through every product: from the board on the cell to the container, from the container to the facility and the fleet. We build the layers on one data model and one clock.
Data
- FleetFleet and value
- SiteFacility control
- CorePack and container controlBBU · DC/DC · From the same layer
- SenseCell-level measurement
Decision
Capabilities
Six capabilities, one architecture.
Analyzes battery and power systems with deeper data, so performance loss and early risk signs become visible.
Voltage and temperature monitor the cell from the outside.
Electrochemical impedance spectroscopy (EIS) measures internal resistance and chemical change.
Active energy management
Protects usable capacity, optimizes energy flow and makes the components work better together.
Embedded AI
Makes critical decisions inside the system, without depending on the cloud.
Digital asset model
Builds a model that continuously follows the physical system's state, performance and aging.
Facility-level optimization
Coordinates the grid, storage, power electronics and loads under one energy management approach.
Cell-level measurement · EIS
A cell's internal resistance and chemical state are read from its impedance spectrum.
Electrochemical impedance spectroscopy (EIS) applies a small alternating current to the cell and measures the voltage response at many frequencies. The resulting spectrum shows conduction resistance, the reaction at the electrode surface and the diffusion of lithium separately. Sense is being developed to make this measurement at cell level while the system operates.
Architecture
Critical decisions are made on site.
Processors with AI accelerators sit at the center of our architecture. We design the system to analyze battery behavior, detect anomalies early and make capacity, performance and service-life decisions locally.
Our product principles
- 01
Site decides on site; Fleet connects sites from the cloud and develops the models.
- 02
Every layer uses one data model and one clock, so the root cause of an event can be traced from the cell to the facility.
- 03
Every release has measurable acceptance criteria: state-of-charge (SoC) estimation error, early-warning count, commissioning time.
- 04
Hardware and software are our own design.
Secure by design
Cybersecurity from cell to cloud, built into the design.
Security is the first design principle of every layer.
Sense · Core
Hardware
- A hardware secure element on every board
- Verified boot, signed firmware
- Signed, non-revertible updates
- Locked debug ports
Communication
Connectivity
- Mutual authentication on every connection
- Message authentication on field buses
- Zones and conduits, closed by default
- One egress point: the container controller
Site
Site
- Every command passes a policy gate
- Immutable decision record
- Per-person identity, least privilege
- Protection continues if the cloud drops
Fleet
Cloud
- The site dials out; there is no inbound door
- Raw data never leaves the site
- Only learned models are shared
- Audit records stream to the customer's system
Expertise
From hardware to decision software, in one team.
We design original hardware, power electronics, embedded software, AI and energy management together. That is how we build solutions that act on the physical system and produce results.
- Advanced measurement and state analysis
- Measurement electronics and models that read the cell's internal resistance and chemical state.
- Power conversion and dynamic power management
- Bidirectional converters that move energy between packs, and the control that manages power flow.
- Embedded AI
- Real-time decision algorithms running on processors in the field.
- Digital asset model and predictive asset management
- Models that follow an asset's aging and remaining life.
- Facility-level optimization and control
- Control software that runs the battery, grid connection, generation and loads together.
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Let's talk about our technology.
Write to us about the architecture, the products and working together.