SOLUTIONS for ELECTRONIC DESIGN AUTOMATION

Simplify and accelerate your complex EDA data workflows.

By providing powerful indexing, enriched metadata, and seamless visibility across design files and data sources, we ensure you can focus on innovation rather than data management.

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

Exploding data volumes. Design and simulation output grows exponentially, quickly overwhelming high-performance storage.
Ephemeral and redundant data. Scratch, checkpoint, and log files accumulate without lifecycle controls, consuming valuable resources.
Limited visibility. Distributed storage silos make it difficult to identify what data is active, redundant, or obsolete.
Cost and performance drag. Inefficient tiering and lack of cleanup lead to wasted capacity and slower project turnaround.
Faster design iterations through improved access to clean, context-rich datasets.
Up to 50% lower storage costs by identifying and automating the removal of cold or redundant data.
Shorter time-to-market by eliminating data-related bottlenecks.
Improved governance and reproducibility across projects and teams.
Scalable insight into billions of files, no matter the location or format.

Data Ingestion

Data Preparation

Simulation & Analysis

Feature Engineering & Extraction

Modeling & Validation

Design Verification & Release

Archive & Reuse

AI-Driven Optimization

No matter the data type, format, or EDA tool—Cadence, Synopsys, Mentor, or Ansys—we connect every stage of your data lifecycle. From ingestion to archive, we empower teams to locate, analyze, and automate data movement across simulation workflows—keeping projects fast, traceable, and efficient.

Unify.
We simplify the discovery of complex EDA datasets—from simulations to design files—ensuring fast, unified access and collaboration across design, verification, and testing teams.
Curate.
Leverage smart filters, tags, and metadata enrichment to identify meaningful datasets—enhancing usability, streamlining workflows, and preparing your data for advanced analytics and AI.
Orchestrate.
Agentic workflows and policy-driven automation move and tier data intelligently—keeping your most valuable project data hot and accessible while pushing cold data to cost-efficient tiers or cloud.
Storage over-consumption causes operational delays.
Pipeline generates large  amounts of temporary and cache data.
Sensitive data with complex permissions are hard to 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.
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.
Millions $ in annual savings in time and data estate.
Reduced outages due to storage over-utilization.
Risk mitigated by restricting visibility.

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Community Edition on GitHub

A free edition with no time limit available on GitHub.

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