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How Innovify Helped ARM Make Its SoC Design Platform AI-Native

ARM's cloud platform already let customers explore, configure and simulate its IP without waiting for specialist support. The next step was to make the platform itself intelligent.
Case Study

Client Overview

ARM designs the processor IP behind billions of devices, from mobile and consumer electronics to cloud infrastructure and embedded systems. As SoC architectures grew more sophisticated, much of the knowledge needed to evaluate them sat with a small group of specialist engineers, creating bottlenecks in evaluation cycles. ARM wanted engineers to explore architecture options and weigh trade-offs independently, without losing engineering rigour. Innovify turned its self-serve SoC design platform into an AI-native product, drawing on its AI and ML engineering expertise to embed specialist knowledge and decision support in the workflow.

Client:
ARM
Country:
United Kingdom
Platforms:
Web
Industry:
Semiconductors

Challenge

Zilch set an ambitious goal: launch a fully compliant digital wallet in just four months. Innovify was tasked with building the platform from the ground up, fast, secure, and ready for scale.

The project came with critical technical and compliance requirements:

  • PCI DSS certification and FCA approval, ensuring full regulatory compliance
  • Ultra-low latency transactions under 250 milliseconds, delivering a seamless user experience.
  • Successful integration of multiple third-party APIs, including GPS, Xero, and CashFlows

The solution is cloud-native, API-first, and built for scalability, enabling Zilch to launch confidently and expand across the UK market. With compliance-by-design and optimized architecture, the product is ready for rapid growth.

As SoC complexity grows, architecture evaluation leans heavily on specialist engineers with deep domain expertise. That protects quality, but it creates bottlenecks that slow decisions across globally distributed teams. ARM needed the platform to:

  • Reduce dependency on specialist support teams
  • Simplify SoC design exploration
  • Improve access to engineering knowledge
  • Streamline evaluation and simulation activities
  • Enable more consistent engineering decisions

The goal was not simply to automate engineering processes. It was to transform engineering expertise into a scalable digital capability.

Key Objectives

Deliver a fully functional digital wallet within four months

  • Create a self-service engineering experience
  • Simplify architecture exploration and evaluation
  • Reduce knowledge bottlenecks
  • Improve engineering productivity
  • Deliver contextual guidance throughout decision workflows
  • Centralise engineering knowledge and expertise
  • Enable intelligent decision support
  • Improve consistency across evaluation processes
  • Build a secure and scalable cloud-native platform
  • Establish foundations for future AI-driven engineering innovation

Solution

Innovify began with a comprehensive discovery workshop to define scope, align stakeholders, and anticipate technical challenges. A dedicated delivery team was assembled to ensure speed and precision throughout the build.

Innovify began with a comprehensive discovery workshop to define scope, align stakeholders, and anticipate technical challenges. A dedicated delivery team was assembled to ensure speed and precision throughout the build.

Innovify began with a comprehensive discovery workshop to define scope, align stakeholders, and anticipate technical challenges. A dedicated delivery team was assembled to ensure speed and precision throughout the build.

Innovify began with a comprehensive discovery workshop to define scope, align stakeholders, and anticipate technical challenges. A dedicated delivery team was assembled to ensure speed and precision throughout the build.

Innovify added AI-native capabilities to ARM's platform. Rather than replacing established engineering processes, they augment them, combining domain knowledge, contextual recommendations and automation in one engineering experience.

Engineering Intelligence Framework

At the core is a knowledge-driven framework that captures domain expertise and embeds it in the design exploration process. Engineering best practices, architecture guidance, evaluation criteria and validation logic are surfaced throughout the workflow, and held in a shared knowledge layer. Engineers can make informed decisions without constant reliance on specialist intervention, and the organisation relies less on tribal knowledge.

AI-Powered Decision Support

The platform surfaces relevant recommendations, architectural considerations and configuration guidance based on user actions and design objectives. Engineers get contextual expertise inside the platform instead of searching across disconnected systems or waiting for a specialist consultation.

Guided Design Exploration

Engineers can explore architecture options, compare configuration choices and analyse design trade-offs through structured workflows built around real engineering processes. Each stage provides context, so teams can investigate a broader range of options while keeping decisions consistent.

Workflow Automation

Repetitive evaluation and validation steps are streamlined through automated workflow orchestration. This reduces manual effort and speeds up decision cycles, so engineers can spend their time on higher-value work.

Built on the original platform

These capabilities sit on the cloud-native, API-first platform Innovify originally built for ARM. Read how that self-serve platform was built.

Technology Used

No items found.

Results

Zilch set an ambitious goal: launch a fully compliant digital wallet in just four months. Innovify was tasked with building the platform from the ground up, fast, secure, and ready for scale.

The project came with critical technical and compliance requirements:

  • PCI DSS certification and FCA approval, ensuring full regulatory compliance
  • Ultra-low latency transactions under 250 milliseconds, delivering a seamless user experience.
  • Successful integration of multiple third-party APIs, including GPS, Xero, and CashFlows

The solution is cloud-native, API-first, and built for scalability, enabling Zilch to launch confidently and expand across the UK market. With compliance-by-design and optimized architecture, the product is ready for rapid growth.

The platform changed how engineering teams access expertise, evaluate design options and work through sophisticated SoC architectures. By converting specialist knowledge into guided digital experiences, ARM established a more scalable and accessible engineering model without compromising technical quality.

Key outcomes

  • Self-service exploration of complex SoC architectures
  • Improved access to engineering expertise across distributed teams
  • Reduced reliance on specialist support during routine evaluation
  • Streamlined evaluation and validation through workflow automation
  • A scalable framework for sharing and preserving engineering knowledge

What comes next

  • Foundations for further AI-assisted engineering decision support
  • A cloud-native platform able to support future innovation initiatives

Innovify builds AI-native products and helps organisations add AI to platforms they already run. The ARM work shows both: build the product, then make it intelligent.

Explore how we turn emerging AI into production-grade enterprise solutions through AI Labs and our AI & ML Development Services, or talk to our team about your own platform.

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