Physical AI, proven before rollout
Reliability of Frontier Systems
Physical AI, connected devices and fleets, proven in simulation before they reach the field.
What does reliability mean for physical AI?
When a chatbot gives a wrong answer, the cost is usually an inconvenience, but when a fleet system dispatches the wrong vehicle or a charging terminal acts on a bad reading, the result is an operational incident. Gartner named physical AI one of its top strategic technology trends for 2026, and that shift changes what reliability has to mean for systems that sense and act in the physical world.
Reliability of Frontier Systems is QKTech’s practice for that shift. We bring the testing discipline we apply to software to connected vehicles, EV fleets, charging networks, smart city transport, factory-floor vision systems and the AI running on devices at the edge, where connectivity drops and a device often has to make a safe call on its own.
Insights
Latest Insights
Results from fleets and vehicles in service
98%
map-to-reality accuracy on an AI-enabled fleet management system for an India-based global automaker
97%
charging bay uptime on the same fleet platform, with sync latency down from 6.2 seconds to under 2.5
99.5%
driver app data reliability across a smart city transport system running 1,000+ buses
40 to 50%
faster release cycles for a connected vehicle management app, with defect leakage down from 41% to under 2% and QA time reduced 75%
Three ways we prove physical systems before rollout
Three areas cover the work we deliver today, with robotics and other frontier domains to follow as those offerings mature.
Connected Vehicle and EV Systems
A fleet platform that dispatches the wrong bus or loses sync at shift change disrupts passengers and drivers. We test fleet management, charging and vehicle management platforms end to end, from driver apps and admin consoles to route assignment logic. One public-transport fleet program alone ran 950+ test cases over 14 regression rounds. Our automotive teams also test in-vehicle infotainment and over-the-air update flows.
AI for Things
Devices at the edge lose connectivity and must make a safe call. We engineer reliability into AI that runs on connected devices and charging terminals, covering multi-device data sync, fault detection and behavior when connectivity drops. On the factory floor, the same discipline applies to AI-powered computer vision that inspects parts for defects. We also support multi-device testing of apps, where we provided QA across 500+ devices for a leading Indian OTT provider.
Simulation-Led Testing
Defects found after rollout disrupt live routes and field teams. We validate behavior in simulated environments and dummy route models before rollout, with nightly sync tests that expose defects while they are still inexpensive to fix. Simulation also covers ADAS scenarios against ISO 26262 and SOTIF, and V2X communication between vehicles and infrastructure.
FAQs
Common questions about frontier systems reliability
What is physical AI?
Physical AI refers to AI systems that sense and act in the physical world, such as vehicles, robots and connected devices, where an error can cause a physical or operational event.
How is testing physical AI different from testing software?
The system has to be tested against real-world conditions it cannot control, including patchy connectivity, device variation and peak loads, which is where simulation and on-device testing do most of the work.
What does reliability mean for an EV fleet or charging network?
It means vehicles are dispatched correctly, charging bays stay available and data stays in sync across devices and depots, including during shift changes and outages.
Do you test connected vehicle apps?
Yes. We automate regression for vehicle management apps across Android and iOS, including remote operations and real-time tracking.
Which frontier systems do you work on today?
Our work today covers connected vehicles, EV fleets and charging networks, smart city transport, factory-floor AI vision and the devices and apps around them. Robotics and other frontier domains will join as those offerings mature.
Talk to our frontier systems team
Tell us about the projects you are preparing to scale, and where it has surprised you in the field. We will come back with the tests we would run before your next rollout.
Let’s engineer for the physical world
Bring one connected system, and we will show you how it would hold up under the conditions your field teams see every day.