Innova provides a cloud‑hosted Project and Design Management platform that unifies EDA tool licenses, compute resources, and engineering personnel into a single portal. It uses real‑time scheduling and machine‑learning forecasts to optimize job placement, predict license and capacity needs, and deliver KPI dashboards for semiconductor design teams. The solution reduces licensing costs and improves project timeline predictability.
Funding
Funding not disclosed
Founders
Product
Problem
Complex System‑On‑Chip and multi‑domain electronic design projects involve dozens of EDA tools, large compute farms, and many engineers, yet resource allocation and job scheduling remain fragmented across disparate tools, leading to high licensing costs, under‑utilized hardware, and unpredictable project timelines.
Solution
Innova’s Project and Design Management (PDM) platform consolidates design flow, tool licenses, compute resources, and personnel data into a single, secure portal that integrates with existing EDA and IT environments. The platform captures real‑time usage metrics and applies machine‑learning models to forecast future license demand, compute capacity, and staffing needs for each project. Designers and managers can launch or monitor jobs via a graphical UI, command‑line interface, or API, while the built‑in scheduler automatically optimizes task placement based on resource availability and priority. Interactive dashboards provide KPI visualizations, utilization heatmaps, and risk alerts, enabling proactive decisions across CAD, procurement, and project‑management teams. All analytics are delivered through a cloud‑hosted service with role‑based access control, ensuring data integrity and compliance. By automating scheduling and providing predictive insights, the solution reduces EDA licensing spend and improves project timeline predictability.
Target Audience
The primary users are design managers and engineering teams in semiconductor and complex electronics companies that run multi‑project SoC or multi‑chip development programs. It also serves PLM/ALM administrators who need centralized oversight of resource consumption and project predictability.
Features
- Centralized repository linking design flow stages with associated EDA tool licenses, compute clusters, and engineering resources.
- Real‑time job scheduling engine that optimizes task placement based on resource availability, priority, and policy constraints.
- Machine‑learning driven forecasts for future license counts, compute capacity, and staffing requirements per project.
- API and Python SDK for programmatic flow control, integration with existing PLM/ALM systems, and custom automation.
- Interactive web dashboard with KPI visualizations, resource utilization heatmaps, and delay‑risk alerts.
- Granular audit trail linking jobs, users, and design artifacts for full traceability and compliance reporting.
- Configurable entity model allowing addition, removal, or modification of resources and workflow links without code changes.
- Secure, role‑based access control and end‑to‑end encryption for all data exchanges.