Cloud, data and AI delivery for automotive
The vehicle is a software product now, and the systems around it were built for a hardware release cycle. We build the platforms that let both run at their own speed.
- AWS Premier Tier Services Partner, the top tier of the AWS network
- Generative AI competency The only GenAI and MSP partner in Canada
- Agentic AI Specialization Selected Canadian partner
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SOC 2 Type 2 + ISO 27001
Independently audited
What is changing in automotive
- 52% of US consumers would keep a vehicle longer if it received regular software updates Deloitte, January 2026
- 20%+ of new cars sold worldwide in 2024 were electric, more than 17 million vehicles IEA, 2025
- 55% of large EU enterprises now use AI technologies, against 20% of enterprises overall Eurostat, 2025
Who we work with in automotive
The automotive organisations we build for, and what each of them needs to move faster.
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OEMs
Software release cycles that have to coexist with a vehicle programme.
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Tier suppliers
Components that ship with firmware and an obligation to keep it current.
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Mobility operators
Fleets whose economics depend on uptime and utilisation.
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Dealer and aftersales networks
Service data spread across sites that head office cannot see.
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EV and charging
Infrastructure that reports, bills and fails in public.
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Logistics fleets
Vehicles as the moving part of a supply chain, not as the product.
From vehicle to decision in five stages
One chain from a signal in the car to a decision at head office. Each stage names the services that serve it, so the page routes into the work rather than describing it.
What happens here
Signals leave the vehicle with an identity, and the logic that must work offline stays on board.
What you get
An edge and telematics pipeline with its buffering proven.
The failure it prevents
A connected feature that stops working out of coverage.
Services behind this stage IoT platforms Security
What happens here
Fleets authenticate individually and publish at scale, with permissions per vehicle rather than per fleet.
What you get
An ingestion tier sized to your fleet, with per-device policy.
The failure it prevents
One compromised unit with a view of the whole fleet.
Services behind this stage IoT platforms Cloud and DevOps
What happens here
Updates reach the vehicle in stages, with a way back, so a release is a decision rather than a gamble.
What you get
A delivery pipeline with staged rollout and rollback.
The failure it prevents
A rollout that cannot be stopped once it starts.
Services behind this stage Engineering AI-augmented development
What happens here
Vehicle, service and customer data land in one governed model, with retention rules that survive a regulator’s question.
What you get
A governed data platform, with lineage and retention set.
The failure it prevents
Years of telemetry nobody can query and nobody dares delete.
Services behind this stage Data architecture Cloud data migration
What happens here
Warranty, uptime and usage models feed the teams that plan the next programme, not just the ones fixing this one.
What you get
Models and dashboards in the hands of engineering, not only IT.
The failure it prevents
Learning about a fault from the warranty claims.
Services behind this stage Generative AI Computer vision
Expertise That We Provide
Connected Mobility
Connected Mobility
Cloud and edge systems for vehicle communication, navigation and routing, for OEMs and mobility operators. Messages from vehicles and infrastructure are normalised once and consumed by every service that needs them. Routing reacts to congestion within seconds instead of after the trip.
Benefits
- Vehicles and infrastructure exchanging data
- Routing that reacts to congestion
- Telemetry feeding vehicle awareness
Predictive Vehicle Insights
Predictive Vehicle Insights
Telemetry and diagnostics that find a fault before the driver does, across the vehicle lifecycle. Signals are joined with warranty and service history per vehicle, so a pattern in the field is visible while the fleet is still under warranty. Service networks get a ranked list rather than a stream of codes.
Benefits
- Faults detected early
- Health monitored across the fleet
- Lower warranty and repair cost
Smart Automotive Manufacturing
Smart Automotive Manufacturing
Production systems built on AI, IoT and cloud, from component tracking to real-time quality checks. Line data lands centrally without changing what runs on the floor, and forecasting works from the same numbers the plant reports. Quality issues are caught while the batch is still on site.
Benefits
- Production visible in real time
- Forecasting that plans the line
- Sensors feeding maintenance and QA
Vehicle Data and Analytics
Vehicle Data and Analytics
Raw vehicle data turned into models the service and engineering teams can act on. Schema, retention and consent are decided before volume becomes the constraint, which is what keeps the platform affordable at fleet scale. Usage and wear trends reach the people who need them without a new integration.
Benefits
- Maintenance recommended, not guessed
- Usage and wear trends visible
- Insight shared with service partners
Digital Twin for Automotive Systems
Digital Twin for Automotive Systems
Real-time twins of vehicle and production behaviour, so a change is simulated before it ships. The twin runs on live telemetry rather than a static model, and it is versioned with the software it represents. Engineering tests an update against the conditions the fleet actually sees.
Benefits
- Physical assets mirrored live
- Updates tested before deployment
- Root cause found faster
In-Vehicle Experience & Infotainment
In-Vehicle Experience & Infotainment
Infotainment, voice and adaptive interfaces built as software, with updates delivered over the air. Releases are staged by cohort with rollback, and every vehicle reports what it is running. Features can be improved after the vehicle is sold instead of waiting for the next model year.
Benefits
- Content personalised per driver
- Voice and navigation that work together
- Features updated over the air
How we start
Three scoped entry points, each ending in something your team keeps.
Connected vehicle assessment
Two weeks, fixed scope
- Signals, gateways and cloud path mapped
- What is reachable today and what needs work
- A costed plan your team keeps whether or not we build it
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Most popular
Fleet telemetry pilot
Four to six weeks
- One vehicle class, your own signals
- A working pipeline to a dashboard your team uses
- A production path if it lands
- Nothing to maintain if it does not
Managed vehicle data platform
Monthly
- Ingestion and analytics run and monitored
- Release support for over-the-air updates
- Named engineers and agreed response times
Questions we get
Can you work with our existing telematics supplier?
Yes. In most programmes the supplier keeps the vehicle link and we build what happens after it, which avoids reopening a contract to make progress.
How do you handle vehicle data privacy across markets?
Residency and retention are set per market in the platform rather than in each application, so a rule changes in one place. The assessment names which markets constrain what.
What does over-the-air support actually involve?
A staged rollout, a way back, and the evidence of both. We build the pipeline and the controls; the vehicle-side agent stays with whoever owns the ECU.
How small can a first project be?
A four to six week pilot on one vehicle class, ending in a working pipeline and a decision. That is deliberately smaller than a programme.
Who owns the models and the code?
You do. Everything is built in your accounts, in your repositories, under your licences.
Cloud, data and AI for automotive
A modern vehicle produces more data in a day than the systems behind it were designed to hold. Telemetry, diagnostics and usage records arrive continuously from a fleet that is still driving, and the value is in what engineering, quality and service can do with them within hours.
Dedicatted builds vehicle data platforms, over-the-air delivery and the analytics on top of them. We have delivered this work since 2016 as an AWS Premier Tier Services Partner with the Generative AI and Machine Learning competencies, under SOC 2 Type 2 and ISO 27001.
What we build for automotive teams
- Vehicle telemetry pipelines at fleet scale, with schema and retention decided before the volume becomes the problem.
- Over-the-air update delivery staged by cohort, with rollback and evidence of what each vehicle is running.
- Predictive diagnostics and warranty analytics trained on your own fleet history.
How the work starts
A two week assessment maps the signals you already collect, what they cost to keep, and which question the business needs answered first. You get a costed plan and a ranked list. The first build is normally one signal set and one consumer, proven end to end before the rest of the fleet is onboarded.
- Consent and regional data rules handled in the pipeline, not in a spreadsheet beside it.
- Dealer and service networks given the same view as engineering, without a second integration project.
- Platform and DevOps work included, so a release to vehicles follows the same discipline as a release to the cloud.
Where a programme is already committed to a platform, we build inside it. Replacing what works is rarely the fastest route to the answer.
Get started with an automotive technology consultant
Outline your connected-vehicle, manufacturing or dealer-systems challenge. Our team responds within one business day with relevant experience and initial technical insights.
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Our team replies within one business day, with relevant experience and a first read on your problem.