SOLUTIONS for ELECTRONIC DESIGN AUTOMATION

The data engine behind modern EDA innovation.

In the high-velocity world of chip and system design, every second counts. Diskover’s EDA solutions bring clarity, control, and workflow automation to simulation, verification, and scratch data—unifying scattered datasets across filers, clouds, and archives so teams can accelerate analysis, automate cleanup, and stop wasted time and storage costs in their tracks.

Meet your new best friend—the Diskover AI Data Assistant

Simplify and accelerate your complex design cycles.

Diskover helps EDA teams find, understand, and manage design data across storage systems—using fast indexing and rich metadata. That means less time hunting for files or cleaning up storage, and more time building and verifying designs.

Whether it’s managing large-scale projects, improving traceability, or reducing costs, Diskover is your partner in driving smarter, faster, and more efficient EDA workflows.

How it works.

From workflow pain to performance gain.
The challenge.
Too much data, too fast. Design and simulation files grow quickly and overwhelm storage.
Ephemeral and redundant data. Checkpoints, scratch files, logs, and duplicates pile up.
Hard to see what matters. Data is spread across silos, making it tough to find what’s active, important, or safe to delete—leading to higher costs and slower work.
Cost and performance drag. Inefficient tiering and a lack of cleanup lead to wasted capacity and slower project turnaround.
The solution
One place to see it all. Unified visibility across design data, logs, and outputs.
Smarter context, faster search. Metadata connects designs, versions, checkpoints, and owners.
Automated cleanup and tiering. Identify cold, temporary, redundant, or obsolete data and take action.
Workflows that move data for you. Trigger policy-based archiving, tiering, and movement—so the right data is always on the right storage.
The impact.
Faster design cycles. Find clean, context-rich datasets quickly.
Up to 50% lower storage costs. Keep hot data on fast tiers, move or remove cold and redundant data.
Shorter time-to-market. Remove data friction that slows design cycles.
Better governance and reproducibility. Track versions and decisions across projects—and scale insight across billions of files.

Why it matters.

From ingestion to archive—EDA data that stays in sync.

No matter the data type, format, or EDA tool—Cadence, Synopsys, Calibre, or Ansys—Diskover connects every stage of your data lifecycle, from ingestion to archive. Teams can quickly find what they need, keep data moving to the right place, and stay focused on design and verification—not storage overhead.

Data Ingestion

Data Preparation

Simulation & Analysis

Feature Engineering & Extraction

Modeling & Validation

Design Verification & Release

Archive & Reuse

AI-Driven Optimization

Unify.
Bring design files, simulation outputs, and verification logs into one searchable view—so teams can discover and collaborate faster across projects and sites.
Curate and automate.
Connect designs, versions, logs, and checkpoints with metadata—then automate retention, cleanup, and tiering so the right versions stay accessible and teams stay in sync.
AI-ready data.
Turn unstructured EDA data into trusted, reusable datasets by enriching metadata and improving traceability—so analytics and AI start with clean, high-value inputs.

USE CASE

Optimizing global EDA workflows for a $220B semiconductor leader.
CHALLENGE
Storage over-consumption causes operational delays.
Pipeline generates large amounts of temporary and cache data.
Sensitive data with complex permissions are hard to manage.
MANAGE
A single inventory of 72 billion files across 4 main sites.
Quickly surfaced and cleaned 1.9PB of abandoned and ephemeral data.
Enabled exploration of datasets without exposing sensitive IP.
AUTOMATE
Cleanup of temporary waveform and application cache data.
Data lifecycle policies implemented in line with each department’s needs.
Clear audit trail for data access and changes.
BENEFITS
Millions $ in annual savings in time and data estate.
Reduced outages due to storage over-utilization.
Risk mitigated by restricting visibility

Ready-to-go solutions for today’s EDA challenges.

Global EDA teams use Diskover to cut time lost to data hunting and reruns. By adding structure and automation to massive design datasets, Diskover keeps the right data on the right storage—ready for debug, reuse, and tape-out.

Fewer reruns. Faster time-to-market.

EDA teams lose time when results can’t be traced back to the right design version, run, or inputs. Debugging often turns into a hunt across scattered logs, checkpoints, and outputs.

Diskover links designs, versions, and run artifacts with metadata, tags, and fast search—so teams can quickly find the right data, reproduce results, and resolve issues faster with less rework.

Removal of ephemeral and transient files.

EDA environments generate immense volumes of transient data — from simulation runs, verification logs, and user temp files — that quickly spiral out of control.

We automate tagging, cleanup, and lifecycle management to eliminate redundant data, maintain accountability, and keep your design environments lean and compliant.

Better data in. Better AI out.

Excess verification data and simulation output can overwhelm AI and ML pipelines, leading to longer training times and irrelevant results. Diskover restores efficiency by curating context-rich datasets that fuel more accurate analysis and model development.

We help you train smarter, accelerate AI readiness, and reduce compute costs with precise, metadata-driven curation of EDA datasets.

Ready to bring order to your unstructured world?

Schedule a demo
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