Gallahand Intelligence
We are an intelligence firm. We build the systems inside the assets that already run, carrying a decision from the model to the machine, the corridor and the meter. Then we operate them inside the companies we build and back.
In the field
Orbit, air and haul road. The same intelligence reads all three, and turns what it sees into a decision someone can act on before the shift ends.
Representative footage with illustrative telemetry. Programme footage replaces it as disclosure clears.
The thesis
Capital becomes intelligence in a quarter. It becomes a transformer in years.
That gap is the defining opportunity of this decade. Models improve on a software clock. Mines, grids, fleets and farms move on a physical one. Value collects where the two clocks meet: where a prediction has to become an action, and an action has to show up on a bill.
Most firms own one side of that join and hand off at the boundary. That handoff is where physical AI programmes stall: the pilot that never leaves the lab, the agent nobody will let near a breaker, the fleet whose utilisation was never measured. Gallahand is built to own the handoff.
Intelligence Meets ResistanceThe stack
Every physical system worth automating resolves into the same four layers. We work across all of them, so nothing gets lost between them.
Models, agents, evaluation and the policy envelope around them. Model agnostic by design and opinionated about everything else: what an agent may touch, what it must prove first, and which decisions stay with a person.
Telemetry, state and memory. A live, queryable picture of what every asset is doing now and did last season, stored where its owner decides and under the jurisdiction its owner chooses.
Vehicles, drones, plant, pumps and chargers. Inference sits where the asset sits, because control loops have deadlines and remote links drop. We architect and select hardware with partners across the United States and Asia. We never resell the box.
Generation, storage, charge and load. Energy is the binding constraint on every physical programme and its largest operating cost. Nobody can conjure a substation. You can move the load, schedule the charge and sell the surplus.
An output becomes an input only after it is measured. The evaluation harness ships before the agent does.
Bounded tools, explicit limits and a human gate on anything irreversible. The envelope is part of the product.
Asset hours and energy cost per unit of work are set by the schedule. That is where a physical business earns its margin.
Platforms
Each platform runs one layer of the stack and draws on the same core. We show what they do. How they do it stays in the room.
Model routing, agents, evaluation and the policy envelope, on your compute or ours. Every other platform calls it, and none of them depends on a single model provider.
Telemetry, state and memory joined into one live model of what each machine, site and corridor is doing now, and what it did last season.
Survey, inspection and perimeter programmes, with the imagery turned into measurements an operator acts on the same day.
For fleets that run on electrons. Every charge, departure and kilowatt-hour is planned against tariff, duty cycle and the grid, with surplus accounted for as revenue.
The command view across every company we build and back. The telemetry that runs each asset rolls up into the evidence that underwrites it.
Named for the Siege Perilous, the seat at the Round Table that only Galahad could take.
Logistics intelligence
Fuel moves with events no fleet controls, cargo walks at the roadside, drivers tire at hour eleven, and the insurer prices all of it into next year's premium. We put intelligence on the vehicle and in the control room, so each risk is seen at the edge and settled before it becomes a loss.
Representative footage with illustrative telemetry.
Diesel is the largest cost after people, and it swings with events no fleet controls. Every litre has to be accounted for: burned, idled or taken.
Loads and fuel leave at stops, depots and in transit. A seal that only proves tampering after the fact is evidence, not protection.
Fatigue and distraction cause the crashes that end careers and contracts. Cameras that cry wolf get switched off.
A load that drifts out of range is a write-off and a compliance event. Most fleets find out at the dock.
Mixed fleets need diesel and electrons planned together, or the savings disappear into idle chargers and missed slots.
Edge vision for fatigue, distraction and phone use, with fewer false alarms, so drivers keep the system on. Near misses and incidents arrive with video.
Electronic seals, door and weight events, and video at every stop. Theft, swapping and unauthorised unloading are flagged as they happen.
Tank level, refuels and distance reconciled per trip. Unexplained drops trigger camera verification, and refuels are checked against receipts.
Temperature, humidity and door state per zone, dock to dock. Each delivery closes with a record the retailer and the auditor can both read.
Geofenced routes, sentry mode at rest stops, and AETOS overwatch at depots and yards. A person decides, with the evidence in front of them.
CALIBURN plans charge and diesel on one schedule as fleets electrify, against tariff, duty cycle and the next shift.
Hardware and edge vision come from one of the largest connected-freight platforms in the world, with millions of devices on the road.Hardware and edge vision come from G7, one of the largest connected-freight IoT platforms in the world, with more than eight million connected devices. The intelligence layer, the integration and the operation are ours.
Request a fleet briefingAETOS · Autonomous site awareness
Remote infrastructure is not under-secured because operators are careless. The geometry is impossible. Perimeters run for kilometres, response arrives by vehicle, and copper, fuel and cable leave before anyone is looking.
Simulated patrol. One operating picture: every asset, every event, one timeline, the same truth for the control room, the response team and the underwriter.
Aircraft launch on schedule and on trigger from a sealed dock at the site. Coverage does not depend on who is awake.
Human, vehicle, animal or thermal anomaly is resolved on the aircraft, so the link carries decisions rather than video.
Every flight, detection and response is written to an evidentiary timeline, exportable for insurers, boards and inquiries.
Doctrine
Deployment begins with a survey: perimeter geometry, threat history, the existing control room and flight approvals. We return a coverage plan, a dock siting and a fixed monthly figure.
Flights are run by licensed operators under the aviation rules of each jurisdiction. Payload specification is indicative pending final airframe selection.
Domains
Physical industries share one trait. The operator already knows which number is costing them most. We report against it in physical units, not percentages.
Charging networks, storage and distributed generation run as one balancing layer, predicted against the utility curve, with surplus and carbon accounted as revenue.
Heavy logistics first: buses, trucks and haul. Dispatch, charge scheduling and maintenance handled as one connected problem instead of three vendors.
From pit to port. Fleet, energy and throughput joined to the document trail that proves where material came from and where it went.
Sensing, irrigation, machinery and market timing combined into one operating picture of the season, from planting to sale.
Drone and sensor networks over perimeters, sites and corridors. Machines watch continuously, and a person holds every irreversible decision.
An error rate that is fine in a chat window is catastrophic on a line. Verification gets an owner on the org chart before anything leaves pilot.
Models on your compute, inside your perimeter, behind your own gateway. Changing a model provider becomes a configuration change, not a rewrite.
All industries, including insurance, private equity, venture capital and asset finance
The category
Physical AI is several markets with different buyers, clocks and moats. Here is the map, and where we sit on it.
| Position | Intelligence | Bits | Atoms | Electrons | Capital |
|---|---|---|---|---|---|
| Frontier model labsGeneral capability, priced per token | |||||
| Physical AI and robot modelsGeneralist control policies, long clock | |||||
| Operational data platformsInstitutional ontology, priced on seats | |||||
| Private AI infrastructureSelf-hosted inference, sold on cost and control | |||||
| Autonomy and defence hardwarePlatforms and the software that flies them | |||||
| Physical automation holdcosPortfolios of automated operating companies | |||||
| Hardware and energy OEMsChargers, cells, vehicles, grid equipment | |||||
| GallahandThe accountable layer joining all of them |
Each of these firms is excellent at its own layer. Some own the model, some own the machine, a few own the companies. None of them owns the join between all of them, or carries a stake in the outcome. We work with most of them, not against them. Models are interchangeable by design and hardware is a partnership. The one thing we keep in house is the join, because that is the only place accountability can sit.
The capital layer
Most intelligence firms sell a deployment and leave. We pipe the same intelligence layer into every company in our ecosystem and stay. Each deployment trains the next.
Our founders built companies and made them run without them. The intelligence layer comes out of that work, and it is tested on our own balance sheet before it reaches anyone else's.
The telemetry that runs an asset also underwrites it. Utilisation and unit economics, per asset and per period, from primary data. A credit committee reads it the same way an operator does.
Code, models and operating playbooks are held in one place. A new company inherits the full stack on day one, and every company it joins makes the stack sharper.
An asset that can prove its numbers finances on different terms from one that cannot.
SelfBuiltSystems builds the growth and AI systems on the commercial side of the same ecosystem. Gallahand runs the intelligence underneath it.
How we build
Name the variables, set the bounds, then let the machine explore only that space. An unconstrained model returns the average, and the average is free.
Prompts, tools, routes and outcomes stay inspectable. Intelligence you cannot audit is intelligence nobody will insure.
Machines carry the scheduling, the balancing and the watching. Every system names the decisions a person keeps and puts the state they need in front of them.
Your data, your weights, your jurisdiction. Routed across many models and dependent on none, with a warm fallback and a switching drill on the calendar.
Engagement sequence
Why the name
Of the knights who went looking for the Grail, Galahad was the one who reached it. We kept the knight and added the hand: the part of intelligence that touches the world.
A model that cannot reach a machine is an opinion. Our work is the reach. The mark says the same thing: a field of intelligence, and the one point where it meets the ground.
Galahad the one who arrives+ hand the part that acts.si where it is heading
Writing
No logo wall. The argument is public and free. If it does not hold up, do not hire us.
Briefings
Most of our work arrives by introduction, from operators and investors who read the thinking and recognised their own constraint in it. If that is you, send the constraint, not a brief.
Introductions are preferred. Leave out credentials, keys and regulated data. We ask for what we need under agreement.