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    N01 · Resilient networks

    Tessera

    The autonomous brain for self-healing networks.

    A proposed software layer that helps decentralized devices find a new route when the network around them changes.

    MathBrooks Things · Research in formation
    Node lostRoute recovered
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    The problem

    Most networks depend on something staying still.

    01

    One failure can isolate a region.

    Central towers and fixed fibre routes create critical points that can disappear through power loss, damage, or distance.

    02

    Static routes react too slowly.

    Moving vehicles, metal structures, weather, and changing terrain can make yesterday’s best path unusable.

    03

    Closed hardware limits deployment.

    Tightly coupled network systems make it difficult to combine the radios and edge devices already available.

    The Tessera idea

    Intelligence between the radio and the application.

    Tessera is conceived as a hardware-agnostic routing layer. It observes the network, decides where a packet should go next, and adapts that decision as conditions change.

    Wi-Fi
    Bluetooth
    RF
    Satellite
    Physical radios →

    Routing intelligence

    Tessera brain

    Topology + node health + traffic demand → next hop

    Dynamic routing

    Continuously searches for a better path as nodes move, weaken, or disappear.

    Edge intelligence

    Designed to make routing decisions close to the network on low-power hardware.

    Protocol hopping

    Explores hand-offs between Wi-Fi, Bluetooth, RF, and satellite links.

    Priority traffic

    Aims to protect critical messages when bandwidth becomes constrained.

    How it is structured

    Observe. Decide. Understand.

    Three layers turn raw network conditions into routing decisions that an operator can see and, when necessary, override.

    01 / Observe

    Sensory layer

    Collects signal quality, battery health, movement, compute availability, and packet loss from every node.

    02 / Decide

    Tessera brain

    Uses reinforcement learning to evaluate topology and choose the next hop for each packet.

    03 / Understand

    Control plane

    Gives operators a live topology, network health, priority controls, and manual overrides.

    A network that can recover

    A path disappears. Another path forms.

    The first research milestone is a simulation where an operator can remove a virtual node and watch traffic find a viable route around it.

    Development target · Phase 01

    Where it could matter

    Built for places where connectivity cannot be taken for granted.

    01

    Rural connectivity

    Solar-powered nodes pass connectivity from home to home until traffic reaches a fibre or satellite gateway.

    02

    Disaster response

    Teams, vehicles, drones, and temporary radios form a network that can reorganise when infrastructure is lost.

    03

    Industrial operations

    Robots and sensors maintain routes through warehouses, mines, and other environments where interference constantly changes.

    Development path

    Simulate. Emulate. Deploy.

    Research plan · not a deployment claim

    Phase 01

    Simulate

    Train and test routing behaviour inside a virtual 100-node network, including moving and failed nodes.

    Phase 02

    Emulate

    Run the model across a small cluster of low-power physical devices and deliberately introduce interference.

    Phase 03

    Deploy

    Measure latency, packet delivery, energy use, and resilience with a real operating partner in the field.

    The ambition

    Keep people connected when the infrastructure around them changes.

    Tessera is MathBrooks research into network resilience: transforming complex routing intelligence into infrastructure that operators can understand and communities can depend on.

    Research with us

    Have relevant expertise, data, or a real operating environment?

    Request Systems Brief