Cover Story

When Software Drives the Machine: Need for Enterprise-Grade Software

PCQuest | March 2026

pcquest@cybermedia.co.in

Source of photo: Excelfore

In early 2024, major automakers including Tesla and Ford Motor Company once again reminded the industry of a hard truth: vehicles are now recalled not only for mechanical defects, but for software inconsistencies. Earlier, autonomous robotaxis from Cruise were pulled from operation following safety incidents tied to system behavior under edge conditions. These were not hardware failures. They were system software failures.

What is missing in this picture is the concept of an enterprise-grade software process for deployment inside the vehicle. For years, "enterprise-grade" meant uptime, scalability, and secure transactions in controlled IT environments. But when software governs braking, torque, battery management, and autonomous driving, the bar becomes dramatically higher. In these domains, software is no longer supporting the business; it is embodying the product.

Automotive connectivity and IoT companies such as Excelfore operate at the convergence of enterprise IT and in-vehicle embedded systems. What we have learned is that enterprise-grade in an autonomous world starts with architectural discipline. Systems must be designed end-to-end across cloud backends, edge gateways, and real-time vehicle domains.

Microservices cannot simply be cloud-native; they must also be latency-aware, fault-contained, and resilient to intermittent connectivity. Vehicles are roaming edge nodes, not static servers.

SHRINATH ACHARYA

CEO, Excelfore

Testing also changes fundamentally. In traditional CI/CD pipelines, rollback is easy. In safety-critical systems, rollback is governed, audited, and sometimes physically constrained. The industry has therefore moved toward hardware-in-the-loop validation, digital twin simulation, and traceable configuration management to validate AI-driven behavior across millions of real-world permutations.

A clear example comes from autonomous driving development. An AI lane-keeping system may perform perfectly during normal regression testing but fail in rare edge conditions. Engineers address this by running the model inside a digital twin of a city that simulates millions of scenarios, varying weather, road markings, traffic behavior, and sensor noise. The real vehicle compute unit is connected through hardware-in-the-loop testing, where simulated sensor streams feed the production hardware. In one adversarial scenario, a reflective puddle and faded lane markings cause the vision model to infer a false lane boundary; the test verifies that the safety controller overrides the incorrect steering command. Being "test hardened" now means surviving not only functional regression tests, but adversarial edge cases.

Resilience also becomes architectural. Redundancy is not simply data replication; it is maintaining safe states during compute failure, sensor dropout, or network loss. A vehicle cannot "crash" like an app; it must self-correct or degrade gracefully. In the 1990s, Tandem Computers Non-stop computing had two redundant compute systems that were the gold standard for how financial transactions were processed. One system was always on standby to take over seamlessly. Vehicles, by their very nature, can cause harm to human lives and need to have redundant safety systems built to take over in case of failure.

At the same time, orchestrating secure over-the-air updates across millions of vehicles resembles operating a global telecom network. Version control, fleet segmentation, policy-based rollouts, encrypted communication, and hardware root of trust form the foundational elements of such a system. Significant standardization efforts led by organizations such as the eSync Alliance and the Autoware Foundation are helping establish common frameworks for these capabilities.

In the autonomous era, the boundary between enterprise IT and operational technology collapses. Enterprise-grade software is no longer measured only by uptime.

It is measured by trust: at 100 kilometers per hour.