Cogita-PRO

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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Verification Analytics: a new paradigm in semiconductor design
Cogita-PRO is an AI EDA debugging tool built to make sense of big data generated in chip verification. Instead of forcing engineers to sift through endless logs and waveforms, Cogita-PRO ingests them all — simulation outputs, emulation traces, HW/SW logs — and builds a unified, searchable database. On top of that, it layers advanced data visualization, statistical analysis, and multiple AI/ML algorithms to automatically spot anomalies, find correlations, and uncover patterns you might otherwise miss.

Use the Power of Big Data Analytics

Cogita-PRO transforms complex verification data into actionable insights, helping you debug faster and ship better chips with confidence.

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Verification Analytics tool with AI modeling

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

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Insight-driven exploration and debugging

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

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Scalable across levels, workflows and teams

Usage scales vertically from IP to subsystem to SoC to emulation.

Verification Analytics: a new paradigm in semiconductor design

We’re on a mission to help businesses automate smarter, respond faster, and serve customers better — with the power of AI that feels human.

About Image
Electronic design automation software enables engineers to design, simulate, verify, and validate complex semiconductor systems. Whether you refer to it as EDA in VLSI, semiconductor EDA, or electronic design automation, the goal is the same: accelerate reliable EDA chip design and deliver high-quality silicon. As EDA technology evolves toward AI-assisted flows and cloud EDA infrastructure, companies building advanced SoCs need more than traditional electronic design automation tools. They need intelligence layered on top of their EDA simulation, regression, and debug environments.
We started with a simple observation: most customer support systems are reactive, slow, and overloaded. Businesses spend too much time answering repetitive queries, while customers are stuck waiting. So, we built an AI Agent that could handle conversations instantly, accurately, and 24/7 — no scripts, no clunky bots. Just real-time help powered by real intelligence.
See the Root Cause, Not Just the Symptoms

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.

Built to Scale with Your Team and Your Design

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.

How it works

Cogita-PRO Under The Hood

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Exploration and first debugging sessions
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Insight-driven
analysis tools
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Scalable Across Levels, Workflows, and Teams
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Create and launch Agent
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Electronic engineers use the advanced GUI or chat prompts to explore data and gain the needed insights. For AI-generated testbenches, this also acts as a human-in-the-loop step. These explorations are then converted into automations, speeding up data input.
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The agent resolves issues
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Various algorithms, ML techniques, visualizations, and other tools help deliver insights, including:
  • Debugging and failure analysis
  • Regression trend tracking
  • Stimuli quality and coverage
  • Anomaly detection
  • System performance
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Finalize & Upgrade
Work V2 Single Image
Usage scales vertically from IP to subsystem to SoC to emulation. It scales horizontally from explorations to fully automated CLI and regressions, processing data in real time. It also scales across teams, making expert insights accessible to juniors and newcomers.

Clarity Starts with Cogita-PRO

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-PRO Blog

Insights, Tips & AI Trends

Ready to Automate Your Customer Interactions?
Olivera Stojanovic
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February 11, 2026
New Product Release: Cogita-PRO 2.0
Ready to Automate Your Customer Interactions?
Olivera Stojanovic
Blog Author Image
January 21, 2026
Cogita-PRO Anomaly Detection
Ready to Automate Your Customer Interactions?
Olivera Stojanovic
Blog Author Image
December 9, 2025
The Cogita-PRO paradigm
Ready to Automate Your Customer Interactions?
Olivera Stojanovic
Blog Author Image
November 4, 2025
Introducing Cogita-PRO for Verification Analytics

Frequently Asked Questions about Cogita

Cogita is an AI-driven EDA verification tool designed to improve semiconductor design workflows through anomaly detection, automated debugging ,and performance analysis.

What is an EDA verification tool?

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.

What does EDA mean in semiconductor design?

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.

How is AI used in EDA verification?

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.

What are the benefits of AI-driven verification tools?

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.

What is anomaly detection in EDA?

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.

How does Cogita improve debugging compared to traditional EDA tools?

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.

Can Cogita be used for ASIC and SoC verification?

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.

What is cloud EDA and does Cogita support it?

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.

What metrics are important in EDA verification?

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.