Connected asset platform
Telemetry from mixed hardware normalised into one event model, with live position, utilisation and exception alerting above it.
Algorix / Innovation System
An engineering company working across machine intelligence, telematics and enterprise automation.
Position
Algorix works across machine intelligence, connected systems, automation, data and the platforms that carry them. The engineering starts from an operational problem that already exists — a decision made by intuition, a signal that never reaches the person who can act on it, a record trapped in a vendor's portal — and ends with a system somebody can run without us.
The problem space
These are the conditions the work usually starts in. They are observations about the field, not claims about any particular organisation.
Critical information lives across platforms that were each correct in isolation and were never designed to answer a question together.
People spend their day moving information between systems — work that is orchestration, not judgement, and that software should be carrying.
The data exists. What is missing is the context that turns it into something a manager can act on before the shift ends.
New capability has to integrate with systems that still run the business. Replacing everything is a proposal, not a plan.
An architecture that answers in milliseconds at ten million rows and in minutes at ten billion has not scaled. It has expired.
History that only the supplier can read is a commercial position dressed as an architecture. It should survive a change of vendor.
Capabilities
A model built for one decision your organisation already makes, evaluated against that decision alone.
Fleet and asset visibility that survives a change of hardware vendor.
Closing the gap between a signal arriving and someone acting on it.
Product engineering for organisations whose requirements do not fit a licence.
Inference on hardware you already own, for data that cannot go to a third party.
An engineering opinion, including the one where you should not build anything.
Technology
D—01
Models that make a decision an operator would otherwise make by hand, with the evidence attached.
D—02
Reading physical assets continuously, and normalising what they say into one event model.
D—03
Removing the manual step between a signal arriving and someone acting on it.
D—04
Time-series and geospatial infrastructure that stays queryable as it grows.
D—05
The operator-facing product: the part that decides whether any of the rest gets used.
D—06
Processing where the data is produced, because some of it must never leave.
Representative architecture
A reference model, not a diagram of a deployed Algorix system. It is here because it is the vocabulary the rest of this site uses.
The operator's view. Bilingual, accessible, and the part that decides whether any of the rest gets used.
Workflows, worklists and exception handling — where a signal becomes somebody's task.
Models that produce a decision with its confidence and its evidence attached, so it can be interrogated.
Time-series and geospatial storage that stays queryable as volume compounds. Every layer above depends on this one.
A normalisation layer above multiple vendors and eras, so one event model survives a hardware change.
Where it runs, how it is deployed, and whether data residency is answered by architecture or by promise.
Engineering method
How the work runs. The order matters more than any individual step: most failed systems were architected after the build had already started.
Establish the operational decision the system exists to serve, and what a correct answer looks like before anything is built.
Draw the boundaries and the interfaces. Decide what must be built, what can be bought, and what must never be coupled.
Build the core capability, smallest first, with the evaluation in place from the beginning rather than bolted on at the end.
Connect to the systems that already run the operation. This is where most of the real difficulty is, and where estimates fail.
Test behaviour, performance and failure. A system is not finished when it works; it is finished when its failure modes are known.
Observe it in production and keep it changeable. Hand over documentation and access so the client is not dependent on us.
Solution patterns
Representative patterns, not delivered projects. They describe how the capability areas combine; the portfolio below lists what has actually been built.
Telemetry from mixed hardware normalised into one event model, with live position, utilisation and exception alerting above it.
A model attached to one recurring operational decision, surfacing a ranked worklist rather than a dashboard nobody opens.
The route from a signal arriving to the person who can act, with the exception path and the audit trail treated as first-class.
One bilingual interface across distributed systems, with a permissions model that survives contact with a real organisation.
Portfolio
One product built and evidenced, and a set of worked studies showing how a class of problem is approached. Each card says which it is.

P—01
Vehicle tracking, built on Teltonika hardware.
GPSNexa is an Algorix product for GPS vehicle tracking, built around Teltonika telematics hardware. Algorix maintains the Teltonika device toolchain used to configure and deploy these units.
Teltonika FM-seriesTeltonika Configurator
Representative studies
Tell us the operational problem rather than the technology you think you need. If the honest answer is to buy something existing, that is the answer you will get.