Semiconductors
Design Smarter. Tape Out Faster.
Governed, self-serve agentic AI for chip design, verification, manufacturing and wafer inspection without compromising data sovereignty.
Governed agentic workflows
Every agent operates with a scoped identity, hard resource ceilings, and access limited to the data and systems its team has approved. Every action is monitored, attributable, and auditable from a single
control plane.
Self-serve AI development
A walled garden stocked with on-demand compute and remote-desktop access to AI coding tools like Claude Code and Codex, fully isolated. Build, test, and iterate on AI apps and agents without touching the underlying infrastructure.
Zero-trust data protection
RBAC, metadata-only versioning, and federated identity ensure sensitive data never leaves the walled garden. No external system, including Klique, ever touches your source data or exposes your IP.
Fab floor AI
Predict equipment failures, detect wafer defects in
real time, and reduce downtime with AI models
that run where manufacturing happens, fully
governed and auditable at the model and dataset
level.
Petabyte-scale data management
One platform to govern multi-modal datasets, model registries, and vector databases across every team and project, with full lineage and version control built in.
Secure multi-tenancy
Each engineering and R&D team gets isolated networks, identity, and storage on shared infrastructure, with the AI Engine metering model calls and token usage per team for accurate chargebacks and resource governance.
Custom agents for every chip design workflow
Engineers access self-serve compute, pooled and scheduled across
hybrid and air-gapped infrastructure by the Orchestration Engine, with RBAC governing what data, models, and endpoints each team can reach. From their IDE, they build and iterate on design tools, simulations, and validation workflows, with agents running alongside to automate repetitive tasks, all inside a walled garden that keeps proprietary work contained to the team that owns it.
Agentic visibility on the fab floor
Klique deploys the full platform in completely disconnected edge
environments, including fabrication-floor infrastructure. The Governance
Engine logs every agent action, model inference, and resource consumed,
attributable in real time, giving operations teams full visibility into agentic
activity without connectivity to external systems.
Built for the Demands of AI-Driven Semiconductor
Manufacturing
Agentic automation for chip design
and verification
Deploy agents that automate design verification, simulation runs, and defect analysis across engineering teams, with every agent running under managed identity and every action fully auditable.
AI-assisted development, inside the
walled garden
Give engineers on-demand access to AI coding tools plus compute inside a governed sandbox, so they can build and iterate on AI tools and workflows without exposing proprietary design data.
IP protected by design
RBAC, air-gapped support, and metadata-only
versioning ensure proprietary designs and fabrication methods never leave your perimeter.
Federated by design. Governed
by default.
The Governance Engine access-controls every compute pool, data
source, model, and deployment endpoint at the infrastructure level,
with each team operating inside a strictly bounded walled garden.
Cross-team data exposure is prevented by design, keeping proprietary
designs and fabrication methods contained at every stage of the AI
development lifecycle.
From raw fab data to
production-ready models
Multi-modal data from design, inspection, and process workflows is
ingested, catalogued, and made available for fine-tuning and agent
development through a unified data management layer. Teams access
curated datasets directly from the walled garden without moving or
copying source files, with every version tracked and auditable
throughout the lifecycle.
Klique is trusted by the world’s leading chip manufacturers, semiconductor equipment makers, and EDA and process technology providers.
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