Powering Verification Analytics
Cogita-PRO is an AI-driven verification and debug EDA software built to make sense of the mountains of data generated in chip verification.Cogita-PRO is an AI EDA debugging tool built to make sense of big data generated in chip verification.
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Cogita-PRO transforms complex verification data into actionable insights, helping you debug faster and ship better chips with confidence.

Various algorithms, ML techniques, visualizations, and other tools help deliver insights

Engineers use the advanced GUI to explore data and gain the needed insights.

Usage scales vertically from IP to subsystem to SoC to emulation.
We’re on a mission to help businesses automate smarter, respond faster, and serve customers better — with the power of AI that feels human.

The result is a faster, clearer path from “something’s wrong” to “here’s exactly why.” Cogita-PRO can pinpoint the origin of failing transactions, highlight unexpected behaviors, and reveal coverage gaps or performance bottlenecks before they turn into late-stage headaches. Whether you’re checking the quality of your stimuli, analyzing transaction flows, or optimizing throughput, Cogita-PRO turns raw data into actionable insight — without the grind of staring at waveforms for hours.
It scales with your project, from IP blocks to full SoCs, from exploratory debug to fully automated regressions. It also captures the knowledge of your most experienced engineers and makes it accessible to the whole team, helping juniors ramp up faster and teams collaborate more effectively. In a world where both human-written and AI-generated testbenches are the norm, Cogita-PRO gives you the clarity, speed, and confidence to close verification faster and build better chips.
Turn overwhelming verification data into insight you can act on.
Cogita PRO helps your team find answers faster — and move from complexity to confidence.
Cogita is an AI-driven EDA verification tool designed to improve semiconductor design workflows through anomaly detection, automated debugging ,and performance analysis.

An EDA (Electronic Design Automation) verification tool is software used to validate semiconductor and chip designs before manufacturing. It analyzes design behavior through simulation, regression testing, and data analysis to detect errors early. Tools like Cogita enhance this process using AI to improve accuracy and reduce verification time.

EDA (Electronic Design Automation) refers to a category of software used to design, simulate, verify, and optimize electronic systems, including ASICs and SoCs. EDA tools are essential in the semiconductor industry for ensuring that chip designs function correctly before fabrication.

AI is used in EDA verification to automate complex tasks such as anomaly detection, log analysis, and pattern recognition. AI-driven tools like Cogita can identify hidden issues, reduce manual debugging, and accelerate regression testing, making verification faster and more reliable.

AI-driven verification tools improve efficiency by:
- Detecting anomalies in large datasets
- Automating debugging and log analysis
- Accelerating regression testing
- Improving overall SoC performance validation
Cogita applies these capabilities to reduce verification cycles and increase design confidence.

Anomaly detection in EDA is the process of identifyng unusual patterns in simulation or test data that may indicate design flaws. AI-based anomaly detection, as used in Cogita, helps engineers find issues that traditional EDA tools may miss.

Cogita enhances debugging by using AI to analyze logs, correlate events, and identify root causes automatically. Unlike traditional debugging tools, itreduces manual investigation and speeds up issue resolution in complex chip designs.

Yes. Cogita supports ASIC verification and SoC performance analysis by providing tools for latency measurement, through put evaluation, and regression testing. It helps ensure that designs meet performance and reliability requirements before taping out.

Cloud EDA refers to running electronic design automation tools on cloud infrastructure instead of local machines. Cogita can be integrated into cloud-based EDA workflows, enabling scalable verification, faster processing, and collaboration across distributed engineering teams.

Key metrics in EDA verification include:
- Latency measurement – how quickly a system responds
- Throughput measurement – how much data is processed over time
- SoC performance efficiency – overall system optimization
Cogita provides AI-assisted insights into these metrics to improve chip performance.