AI-augmented Electronic Design Automation (EDA) tooling and engineering support that accelerates chip development, simplifies design complexity, and protects semiconductor IP.
Get a Free ConsultationSemiconductor teams are under pressure to ship more advanced chips faster, on tighter budgets, while keeping designs secure and compatible with rapidly evolving process nodes. We help EDA and chip design teams apply AI and modern engineering practice to optimise design workflows, reduce time-to-market, and give engineers tools that keep pace with rising design complexity.
chip development and reduced time-to-market
design complexity through AI-optimised workflows
IP protection across the design toolchain
collaboration across design, verification, and fab teams
AI-augmented Electronic Design Automation — accelerating chip design cycles, optimising design complexity, and strengthening IP security for semiconductor innovators.
We focus on practical initiatives that improve operational control, customer experience, and decision quality.
Apply AI and automation to streamline design iterations, cut manual rework, and shorten the path from RTL to tape-out.
Build and extend EDA tooling tailored to a team's specific process node, IP library, and verification requirements.
Implement access controls, audit trails, and secure collaboration environments that protect sensitive design IP end-to-end.
Architect scalable cloud and on-prem compute for simulation, verification, and design-space exploration workloads.
The right outcome depends on the right rollout model. We combine product thinking, AI engineering, and domain context to reduce delivery risk.
Our tooling decisions are shaped by how chip designers and verification engineers actually work, not generic software assumptions.
We build with an eye on where fabrication technology is headed, so tooling stays useful as nodes and standards evolve.
IP protection and access control are built into every tool and workflow, not added after the fact.
These capabilities are often combined to design, deploy, and scale industry-specific solutions.
AI-ready data pipelines at scale
We build robust data infrastructure — from ingestion and transformation to warehousing and real-time analytics — ensuring your AI systems are fuelled by clean, reliable data.
Optimise Your Data StackAI-native applications engineered to scale
End-to-end development of AI-powered software — web and mobile apps with embedded intelligence, from computer vision to NLP and predictive analytics.
Start Building with AICustom ML models that learn, adapt, and deliver
We design, train, and deploy machine learning models tailored to your business — from recommendation engines and fraud detection to demand forecasting and anomaly detection.
Build Custom ML ModelsMove faster, spend less, scale effortlessly
We architect, migrate, and optimise cloud infrastructure across AWS, Azure, and GCP — enabling businesses to reduce costs, improve reliability, and unlock cloud-native capabilities at scale.
Plan Your Cloud JourneyOur specialists are ready to discuss your specific challenges and design a tailored solution.