Brighter insights.
Better chips.

Brytis is an AI-powered analytics and debug EDA platform built to make sense of the mountains of data generated in chip verification.

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Verification Analytics: a new paradigm in semiconductor design

Brytis is an AI-powered analytics and debug EDA platform built to make sense of the mountains of data generated in chip verification. Instead of forcing engineers to sift through endless logs and waveforms, Brytis ingests them all — simulation outputs, emulation traces, HW/SW logs — and builds a unified, searchable database. On top of that, it layers advanced 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

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

Verification Analytics tool with AI modeling

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

Insight-driven exploration and debugging

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

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.

Brytis is an AI-powered analytics and debug EDA platform built to make sense of the mountains of data generated in chip verification. Instead of forcing engineers to sift through endless logs and waveforms, Brytis ingests them all — simulation outputs, emulation traces, HW/SW logs — and builds a unified, searchable database. On top of that, it layers advanced visualization, statistical analysis, and multiple AI/ML algorithms to automatically spot anomalies, find correlations, and uncover patterns you might otherwise miss.

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.” Brytis 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, Brytis 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, Brytis gives you the clarity, speed, and confidence to close verification faster and build better chips.

How it works

Brytis Under The Hood

01

Exploration and first debugging sessions

02

Insight-driven
analysis tools

03

Scalable Across Levels, Workflows, and Teams

01

Create and launch Agent

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.

02

The agent resolves issues

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

03

Finalize & Upgrade

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.