Future: PlurkoTech

The Role of AI in Next-Gen Chip Design

PlurkoTech — Mon, 06 Oct 2025 00:44:36 +0000

Let’s be honest — chip design today is no walk in the park. Every new generation packs in more transistors, tighter deadlines, and tougher targets. Traditional methods that worked a decade ago are struggling to keep up.

That’s where Artificial Intelligence steps in. AI isn’t just a buzzword anymore. It’s quietly reshaping how engineers design, verify, and optimize chips. From making smart placement decisions to predicting design bottlenecks, AI is becoming a real partner in the silicon world.

Let’s dive into how AI is changing the way chips are designed — and why it’s turning out to be one of the most exciting shifts in modern semiconductor engineering.

The Challenge: Designs Are Getting Too Complex

Modern SoCs have billions of transistors. That’s billions — not millions. Each one adds complexity to power management, timing, layout, and verification.

Even the most experienced engineers can’t manually explore every possible design configuration anymore. There are just too many trade-offs to juggle — power, performance, area, yield, timing, and more.

Simply put, the old way of designing chips has hit a wall. And this is where AI comes in to take some of the heavy lifting off human shoulders.

AI Is Here to Help, Not Replace

Let’s clear one thing up. AI doesn’t magically design chips from scratch. It’s not a replacement for engineers. It’s more like a co-pilot — helping spot patterns, run quick optimizations, and guide better decisions.

Here’s how it’s already making a real difference.

Smarter Floor planning and Placement

One of the hardest steps in chip design is deciding where everything goes on silicon. It’s like playing 3D Tetris — except every move affects timing, power, and signal quality.

AI can look at past projects and learn what works best. Using reinforcement learning, it figures out how to place blocks more efficiently, reduce routing congestion, and improve timing closure.

Google actually did this for their TPU chips, finishing layouts in hours that used to take weeks. That’s the kind of speed boost AI brings to the table.

Faster, Smarter Verification

If you’ve ever worked in chip verification, you know how time-consuming it is. It eats up nearly 70 percent of the design cycle.

AI helps by predicting which parts of a design are more likely to fail and need deeper testing. It also helps generate test cases automatically so verification engineers can focus on real problem-solving instead of repetitive checks.

Think of it like having a smart assistant that highlights suspicious corners before they turn into expensive silicon bugs.

Predictive Modelling for Faster Insights

Instead of running hundreds of simulations, AI can quickly predict how a design might behave. It looks at limited simulation data and learns to estimate power, timing, and performance.

This saves huge amounts of time — especially when you’re running multiple design iterations. It lets teams fix problems early, long before final tape-out.

Helping Out in Analog Design Too

Analog used to be considered too “artistic” for automation. But now, with smarter AI tools, it’s becoming more manageable.

AI can tune circuit parameters automatically, explore different topologies, and find combinations that meet specs faster. It’s not replacing analog designers, but it’s definitely making their lives easier.

Improving Yield and Reliability

AI doesn’t stop at design. Once chips are fabricated, it helps analyze fab data to predict yield drops and identify potential causes.

Factories are using AI to spot patterns across thousands of wafers and catch small issues before they snowball. This means fewer surprises during production and higher overall yield.

The Ecosystem Is Already Evolving

Major EDA companies have already built AI into their tools.
Synopsys has DSO.ai for optimizing performance and power.
Cadence has Cerebrus for exploring design options faster.
Siemens’ Solido ML helps analyze variation and reliability.
Even open-source groups are experimenting with AI-based design predictions and optimization tools — making it easier for smaller teams to tap into these advancements.

What’s Next: Self-Learning Chips

Here’s where it gets exciting. In the future, we won’t just use AI to design chips — chips themselves will use AI to adapt.

Imagine processors that tune themselves depending on workload, fix small defects automatically, or adjust power in real time. Some early research prototypes are already doing this.

We’re slowly moving toward hardware that learns from its own behavior — a true blend of intelligence and engineering.

The Human Touch Still Matters

No matter how advanced AI gets, human insight remains at the heart of chip design.

AI needs guidance, clean data, and engineering judgment. It can explore millions of options, but only an experienced designer knows which trade-offs really matter.

The sweet spot lies in collaboration — letting AI handle the grunt work while humans focus on creativity and decision-making.

Wrapping Up

AI is redefining how chips are built. It’s helping teams move from trial-and-error to smarter, data-driven design.

This isn’t the end of human engineering. It’s a new beginning — one where humans and machines work side by side to push the boundaries of silicon innovation.

At PlurkoTech, we see AI as an ally. It’s not here to take over, but to help us design better, faster, and smarter chips for the future.

The Role of AI in Next-Gen Chip Design

PlurkoTech — Mon, 06 Oct 2025 00:08:53 +0000

Let’s dive into how AI is changing the way chips are designed — and why it’s turning out to be one of the most exciting shifts in modern semiconductor engineering.

The Challenge: Designs Are Getting Too Complex

Modern SoCs have billions of transistors. That’s billions — not millions. Each one adds complexity to power management, timing, layout, and verification.

Simply put, the old way of designing chips has hit a wall. And this is where AI comes in to take some of the heavy lifting off human shoulders.

AI Is Here to Help, Not Replace

Here’s how it’s already making a real difference.

Smarter Floor planning and Placement

One of the hardest steps in chip design is deciding where everything goes on silicon. It’s like playing 3D Tetris — except every move affects timing, power, and signal quality.

AI can look at past projects and learn what works best. Using reinforcement learning, it figures out how to place blocks more efficiently, reduce routing congestion, and improve timing closure.

Google actually did this for their TPU chips, finishing layouts in hours that used to take weeks. That’s the kind of speed boost AI brings to the table.

Faster, Smarter Verification

If you’ve ever worked in chip verification, you know how time-consuming it is. It eats up nearly 70 percent of the design cycle.

AI helps by predicting which parts of a design are more likely to fail and need deeper testing. It also helps generate test cases automatically so verification engineers can focus on real problem-solving instead of repetitive checks.

Think of it like having a smart assistant that highlights suspicious corners before they turn into expensive silicon bugs.

Predictive Modelling for Faster Insights

Instead of running hundreds of simulations, AI can quickly predict how a design might behave. It looks at limited simulation data and learns to estimate power, timing, and performance.

This saves huge amounts of time — especially when you’re running multiple design iterations. It lets teams fix problems early, long before final tape-out.

Helping Out in Analog Design Too

Analog used to be considered too “artistic” for automation. But now, with smarter AI tools, it’s becoming more manageable.

AI can tune circuit parameters automatically, explore different topologies, and find combinations that meet specs faster. It’s not replacing analog designers, but it’s definitely making their lives easier.

Improving Yield and Reliability

AI doesn’t stop at design. Once chips are fabricated, it helps analyze fab data to predict yield drops and identify potential causes.

Factories are using AI to spot patterns across thousands of wafers and catch small issues before they snowball. This means fewer surprises during production and higher overall yield.

The Ecosystem Is Already Evolving

Major EDA companies have already built AI into their tools.
Synopsys has DSO.ai for optimizing performance and power.
Cadence has Cerebrus for exploring design options faster.
Siemens’ Solido ML helps analyze variation and reliability.
Even open-source groups are experimenting with AI-based design predictions and optimization tools — making it easier for smaller teams to tap into these advancements.

What’s Next: Self-Learning Chips

Here’s where it gets exciting. In the future, we won’t just use AI to design chips — chips themselves will use AI to adapt.

Imagine processors that tune themselves depending on workload, fix small defects automatically, or adjust power in real time. Some early research prototypes are already doing this.

We’re slowly moving toward hardware that learns from its own behavior — a true blend of intelligence and engineering.

The Human Touch Still Matters

No matter how advanced AI gets, human insight remains at the heart of chip design.

AI needs guidance, clean data, and engineering judgment. It can explore millions of options, but only an experienced designer knows which trade-offs really matter.

The sweet spot lies in collaboration — letting AI handle the grunt work while humans focus on creativity and decision-making.

Wrapping Up

AI is redefining how chips are built. It’s helping teams move from trial-and-error to smarter, data-driven design.

This isn’t the end of human engineering. It’s a new beginning — one where humans and machines work side by side to push the boundaries of silicon innovation.

At PlurkoTech, we see AI as an ally. It’s not here to take over, but to help us design better, faster, and smarter chips for the future.

The Role of AI in Next-Gen Chip Design

PlurkoTech — Wed, 01 Oct 2025 19:27:00 +0000

Let’s dive into how AI is changing the way chips are designed — and why it’s turning out to be one of the most exciting shifts in modern semiconductor engineering.

The Challenge: Designs Are Getting Too Complex

Modern SoCs have billions of transistors. That’s billions — not millions. Each one adds complexity to power management, timing, layout, and verification.

Simply put, the old way of designing chips has hit a wall. And this is where AI comes in to take some of the heavy lifting off human shoulders.

AI Is Here to Help, Not Replace

Here’s how it’s already making a real difference.

Smarter Floor planning and Placement

One of the hardest steps in chip design is deciding where everything goes on silicon. It’s like playing 3D Tetris — except every move affects timing, power, and signal quality.

AI can look at past projects and learn what works best. Using reinforcement learning, it figures out how to place blocks more efficiently, reduce routing congestion, and improve timing closure.

Google actually did this for their TPU chips, finishing layouts in hours that used to take weeks. That’s the kind of speed boost AI brings to the table.

Faster, Smarter Verification

If you’ve ever worked in chip verification, you know how time-consuming it is. It eats up nearly 70 percent of the design cycle.

AI helps by predicting which parts of a design are more likely to fail and need deeper testing. It also helps generate test cases automatically so verification engineers can focus on real problem-solving instead of repetitive checks.

Think of it like having a smart assistant that highlights suspicious corners before they turn into expensive silicon bugs.

Predictive Modelling for Faster Insights

Instead of running hundreds of simulations, AI can quickly predict how a design might behave. It looks at limited simulation data and learns to estimate power, timing, and performance.

This saves huge amounts of time — especially when you’re running multiple design iterations. It lets teams fix problems early, long before final tape-out.

Helping Out in Analog Design Too

Analog used to be considered too “artistic” for automation. But now, with smarter AI tools, it’s becoming more manageable.

AI can tune circuit parameters automatically, explore different topologies, and find combinations that meet specs faster. It’s not replacing analog designers, but it’s definitely making their lives easier.

Improving Yield and Reliability

AI doesn’t stop at design. Once chips are fabricated, it helps analyze fab data to predict yield drops and identify potential causes.

Factories are using AI to spot patterns across thousands of wafers and catch small issues before they snowball. This means fewer surprises during production and higher overall yield.

The Ecosystem Is Already Evolving

Major EDA companies have already built AI into their tools.
Synopsys has DSO.ai for optimizing performance and power.
Cadence has Cerebrus for exploring design options faster.
Siemens’ Solido ML helps analyze variation and reliability.
Even open-source groups are experimenting with AI-based design predictions and optimization tools — making it easier for smaller teams to tap into these advancements.

What’s Next: Self-Learning Chips

Here’s where it gets exciting. In the future, we won’t just use AI to design chips — chips themselves will use AI to adapt.

Imagine processors that tune themselves depending on workload, fix small defects automatically, or adjust power in real time. Some early research prototypes are already doing this.

We’re slowly moving toward hardware that learns from its own behavior — a true blend of intelligence and engineering.

The Human Touch Still Matters

No matter how advanced AI gets, human insight remains at the heart of chip design.

AI needs guidance, clean data, and engineering judgment. It can explore millions of options, but only an experienced designer knows which trade-offs really matter.

The sweet spot lies in collaboration — letting AI handle the grunt work while humans focus on creativity and decision-making.

Wrapping Up

AI is redefining how chips are built. It’s helping teams move from trial-and-error to smarter, data-driven design.

This isn’t the end of human engineering. It’s a new beginning — one where humans and machines work side by side to push the boundaries of silicon innovation.

At PlurkoTech, we see AI as an ally. It’s not here to take over, but to help us design better, faster, and smarter chips for the future.

Mixed-Signal IP Design Challenges & Solutions

PlurkoTech — Wed, 01 Oct 2025 18:56:53 +0000

As the semiconductor industry continues to evolve, the line between digital and analog design is blurring faster than ever. From IoT sensors to automotive SoCs and AI accelerators, most modern chips now rely on mixed-signal IPs — designs that integrate both analog and digital circuitry to achieve high performance, precision, and energy efficiency.

But with great integration comes great complexity. Mixed-signal IP design is not just about connecting digital logic with analog circuits — it’s about co-designing two worlds that speak very different engineering languages. Let’s break down the challenges and explore practical solutions used across the industry.

The Challenge: Bridging Analog and Digital Worlds

In a digital design, everything is binary — 0s and 1s, timing constraints, deterministic behavior. But analog circuits live in the real world — where noise, process variations, and temperature drifts constantly nudge performance.

When these two domains interact, several pain points emerge:

Signal Integrity and Noise Coupling
Analog blocks like PLLs, ADCs, and amplifiers are highly sensitive. Placing them near noisy digital logic can cause jitter, phase noise, or offset errors.
Power Supply and Ground Interference
Digital circuits switch thousands of times per second, injecting supply noise that corrupts analog references — especially in low-voltage designs.
Verification Complexity
Simulating mixed-signal behavior at transistor-level accuracy is computationally expensive. Traditional SPICE-level simulations can take hours or even days for a single corner.
Layout Dependencies
In analog design, layout is the design. Parasitics, mismatches, and coupling effects often differ from schematic simulations, forcing iterative rework.
Cross-Domain Timing Closure
Digital timing constraints often assume deterministic edges, while analog-generated clocks (like from PLLs) may have non-ideal jitter. Ensuring proper synchronization is non-trivial.

The Solution: Strategies that Work

Partition Smartly — but Collaboratively -
A clear boundary between analog and digital should be established early. Use behavioural models (e.g., Verilog-A, System Verilog AMS) to represent analog behavior in digital simulations. This reduces iteration loops and ensures system-level validation before transistor-level design.

Tip: Avoid siloed teams — co-simulation during early architecture definition prevents major rework later.
Use Mixed-Signal Verification Frameworks -
Tools like Cadence AMS Designer, Synopsys CustomSim, or Mentor Questa ADMS enable co-simulation of SPICE and digital testbenches. Combine real-number modelling (RNM) with UVM to bring analog behaviours into automated regression flows.

This helps you test corner cases — e.g., “What if the ADC reference drops 50 mV?” — without waiting hours for SPICE.
Layout with Shielding and Floor planning in Mind -
During physical design, remember to isolate analog power domains from digital switching noise, use guard rings, shielding metals, and separate ground returns and minimize coupling by routing sensitive analog signals away from fast digital nets.

Analog designers often say: “A poor floorplan can break even the best schematic.” They’re right.
Model Parasitics Early -
Post-layout effects (RC parasitics, coupling capacitances) often degrade analog precision. Using RC extraction tools early in layout helps anticipate performance hits. Even approximate parasitic models can flag sensitivity hotspots before tape-out.
Calibrate and Compensate Digitally -
When in doubt — add calibration logic. Digital assistance circuits can tune biases, correct offsets, and linearize ADC transfer curves dynamically.

Example: A digitally calibrated DAC might use a lookup table to compensate nonlinearity across process corners.
Validate with Silicon-Aware Corners -
Beyond PVT (Process-Voltage-Temperature), consider real-world conditions — aging, IR drop, EMI, and package parasitics. Use Monte Carlo simulations to statistically validate yield.

The Future: Smarter Mixed-Signal IPs

We’re entering an era where AI-assisted design and machine learning calibration are changing the game. Instead of static analog circuits, designers are building adaptive IPs — self-tuning blocks that learn from runtime conditions.

At PlurkoTech, we see mixed-signal IP design evolving toward:

ML-guided layout for noise-aware floor planning
Predictive verification using trained surrogate models
Silicon telemetry feeding real-time correction loops

The result? More robust, higher-yield IPs — even in advanced nodes like 3nm or below.

Final Thoughts

Mixed-signal IP design is as much an art as it is a science. Balancing the precision of analog with the scale of digital demands not just tools — but mindset alignment between teams.

With smart partitioning, real-number modelling, and layout discipline, you can tame complexity and deliver reliable, high-performance silicon — one block at a time.

Advanced ISP IP Core for High-Resolution, Low-Light Imaging

PlurkoTech — Mon, 28 Jul 2025 04:59:43 +0000

A new generation Image Signal Processor (ISP) IP core is now available, delivering outstanding image quality and real-time performance for high-resolution and low-light imaging. Designed for integration into SoCs, ASICs, and FPGAs, this compact and efficient solution is ideal for automotive vision, security systems, and industrial inspection platforms.

High Efficiency Meets Superior Image Quality
Engineered for performance and silicon efficiency, the ISP IP core supports up to 13 megapixels at 60 frames per second in single-instance mode. In multi-instance configurations, it can handle up to four video streams, each managing 5MP at 30fps—enabling simultaneous multi-camera processing with minimal resource usage.

A proprietary inter-process information sharing technique significantly reduces gate count and memory footprint, achieving high-quality imaging with lower power and silicon area requirements—perfect for embedded vision applications where performance and efficiency are both critical.

Technical Highlights

Single-Instance Mode
▸ Up to 13MP @ 60fps
Multi-Instance Mode
▸ Up to 4 streams
▸ Each at 5MP @ 30fps
Input Formats
▸ RAW Bayer (8, 10, 12, 14-bit)
Output Formats
▸ DVP: YUV422, YUV444, RGB888 (8/10/12-bit)
▸ AXI: YUV420, YUV422, YUV444, RGB888 (8/10/12-bit)
Built for Advanced Imaging Use Cases
Automotive Applications
Surround/around view monitoring (AVM/SVM)
Dashcams
ADAS systems
Surveillance
Low-light and night-vision security cameras
Multi-angle monitoring setups
Industrial & Smart Systems
Robotics and machine vision
Quality control/inspection
Smart infrastructure and urban surveillance

Key Benefits

High-Resolution Performance: 13MP @ 60fps
Low-Light Optimization: Advanced noise reduction and clarity algorithms
Silicon-Efficient Design: Reduced gate and memory usage
Flexible Processing Pipeline: Fully configurable image paths
Scalable Architecture: Supports multiple camera streams

“This ISP IP core marks a major step forward in delivering scalable, high-quality imaging for embedded vision,” said our Senior Product Lead. “With unmatched efficiency and configurability, it empowers developers to create more intelligent and responsive imaging solutions.”

Availability & Support

The ISP IP core is available for immediate licensing with full documentation, testbenches, and integration support to accelerate deployment across a wide array of applications.

📩 For licensing and documentation inquiries, please get in touch.
📧 contact@plurkotech.com
🌐 www.plurkotech.com

Security Portfolio with Advanced IP Protection Solutions

PlurkoTech — Mon, 28 Jul 2025 04:59:37 +0000

We are pleased to introduce a new line of high-assurance security IP solutions focused on protecting modern SoCs against physical and cyber threats. This strategic expansion strengthens PlurkoTech’s position as a full-spectrum semiconductor partner for clients in automotive, defence, mobile, and IoT markets.

The newly integrated security solutions offer cutting-edge countermeasures against side-channel attacks, chip cloning, and fault injection vulnerabilities—key challenges for hardware manufacturers operating in high-risk sectors.

Key Offerings Include:

Hardware Root of Trust (RoT): Establishes a secure foundation for trusted boot, secure firmware updates, and cryptographic operations.
Side-Channel Attack Mitigation: Embedded protections that reduce susceptibility to power, EM, and timing-based attacks through advanced balancing and obfuscation techniques.
Secure Key Management: Embedded solutions for secure key generation, storage, and usage across hardware and firmware layers.
Anti-Tamper and IP Protection: Innovative IP blocks that prevent reverse engineering, cloning, and unauthorized debugging.
Secure Debug Lifecycle Control: Access control for debug interfaces across all phases of product lifecycle, from silicon bring-up to field deployment.

These offerings seamlessly integrate with PlurkoTech’s growing semiconductor IP portfolio, which includes mobile storage controllers, high-performance Ethernet IP, and AI-driven EDA platforms for ASIC design and verification.

With the addition of high-grade security components, PlurkoTech is reinforcing its commitment to delivering secure, efficient, and scalable semiconductor solutions tailored to mission-critical environments.

Contact Information
📧 contact@plurkotech.com
🌐 www.plurkotech.com

Efficient 10G/25G Ethernet PCS & Link IP Cores

PlurkoTech — Mon, 28 Jul 2025 04:59:33 +0000

PlurkoTech announces the launch of its highly configurable, ultra-low latency Ethernet MAC Link and PCS IP cores, designed to meet the rigorous demands of modern networking and data center environments. These silicon-agnostic IP cores offer high performance, compact implementation, and easy integration across both ASIC and FPGA platforms.

High-Performance Ethernet MAC Link Core
The MAC Link core utilizes a cut-through architecture to achieve ultra-low latency while maintaining a small footprint. It supports a 64-bit AXI-S Client interface on the MAC side and XGMII on the PHY side, ensuring smooth compatibility with IEEE 1588 TSUs and PCS cores.

Key Features:

10G/25G full-duplex support
Ultra-low latency with cut-through operation
Jumbo frame support & flexible FCS generation
Deficit Idle Count for maximum throughput
AXI4-Lite/APB control interface options
Optional advanced features: stats, status vectors, programmable MTU

Standards-Compliant PCS IP Core
PlurkoTech’s PCS IP core fully complies with IEEE 802.3-2018 (Clauses 49 & 107), supporting 10GBASE-R and 25GBASE-R protocols. It features high configurability, FEC, and robust synchronization capabilities.

Highlights:

64b66b encoding/decoding and scrambling
Test pattern generator & checker
MDIO management interface
Energy Efficient Ethernet (EEE) support
IEEE 1588 PTP sync (1-step, 2-step, eCPRI, transparent clock modes)
Compatible with various SerDes configurations

Availability
The IP cores are available for immediate licensing with full documentation, test environments, and support.

Contact Information

📧 sales@plurkotech.com
🌐 www.plurkotech.com
📍 New Delhi, India

Radiation Hardened NAND Flash IP with ONFI 4.2

PlurkoTech — Mon, 28 Jul 2025 04:59:18 +0000

We are a provider of mobile storage and connectivity IP solutions, proudly announces the release of its Radiation Hardened NAND Flash IP, fully compliant with ONFI 4.2 specifications. Designed specifically for mission-critical sectors including defence, aerospace, and nuclear industries, this IP core significantly enhances reliability under extreme conditions by employing proprietary radiation hardening technology to protect against ionizing radiation effects.

Robust Storage Solutions for Extreme Environments
This new addition strengthens PlurkoTech’s Mobile Storage IP portfolio, which already includes UFS IP, eMMC IP, xSPI NOR Flash IP, and SDIO/SD Card IP cores. The Radiation Hardened NAND Flash Controller IP delivers dependable access to off-chip NAND flash devices, supporting all ONFI Specification modes — from legacy Single Data Rate and NV-DDR modes to the latest NV-LPDDR4 and high-speed timing modes ranging from 10MHz up to 1,200MHz (2.4GT/s) I/O speeds.

Advanced Features for High Performance and Efficiency
Our ONFI Host Controller IP integrates a fully verified AXI interface alongside a proprietary microcontroller architecture that enables efficient multithreaded data path utilization. This design is complemented by a sophisticated Scatter-Gather Direct Memory Access (DMA) algorithm, facilitating rapid data transfers between flash storage and system memory—critical for high-throughput, low-latency applications.

Availability
PlurkoTech’s Radiation Hardened NAND Flash Controller IP compliant with ONFI 4.2 specifications is now available for immediate licensing in both ASIC and FPGA designs.

Contact
For licensing inquiries and technical details, please contact us at:

📧 sales@plurkotech.com
🌐 www.plurkotech.com

AI-Powered EDA Tools Transforming Chip Design

PlurkoTech — Sat, 26 Jul 2025 21:24:11 +0000

Our AI driven EDA Tool, a trailblazer at the intersection of artificial intelligence and semiconductor engineering, has launched a suite of AI-powered Electronic Design Automation (EDA) tools poised to transform how ASIC design, verification, and documentation are executed. Early adopters, including top-tier semiconductor companies like Nvidia, have reported up to 10x improvements in productivity.

Accelerating Chip Design with AI
Our advanced agentic AI platform brings intelligence, automation, and speed to chip development. By automating tedious workflows and improving design accuracy, these tools allow engineers to focus more on innovation.

“Our AI-driven EDA tools are redefining productivity in chip engineering,” said a company spokesperson.

“We’re enabling smarter workflows and significantly reducing time-to-market.”

Key Benefits

Up to 80% Faster Development: Dramatically reduced design and verification cycles
Higher Accuracy: Intelligent error detection lowers risk of re-spins
Workflow Automation: From optimization to simulation and documentation
Flexible Integration: Customizable to specific project needs
Advanced Capabilities: Including spec-to-RTL and RTL-to-doc automation

Core Features

Waveform Agents: Perform natural-language root-cause analysis on large waveform dumps
Coverage Agents: Identify functional gaps and auto-generate verification stimuli
IDE Integration: Available via CLI and Visual Studio Code extensions for RTL, UVM, and SystemVerilog

Users can test live with their own waveforms, specs, or reports to experience autonomous enhancements in design and verification.

Built by Industry Experts

We bring together AI researchers and semiconductor veterans to deliver EDA tools that address the modern complexities of chip development. The platform seamlessly integrates with existing workflows and tools.

Why AI-Powered EDA?

Scalable Intelligence: Agents simultaneously analyze RTL, logs, waveforms, and testbenches
Faster Debugging: Hypothesis-driven diagnostics speed closure cycles
Transparency: Causal reasoning keeps engineers in control
Plug-and-Play: No disruption to your current setup

Get in Touch

Discover how AI-enabled EDA tools can streamline your chip development lifecycle.

📧 contact@plurkotech.com
🌐 www.plurkotech.com
📍 New Delhi, India

All-in-One Creative & Digital Marketing Solutions

PlurkoTech — Sat, 26 Jul 2025 10:52:00 +0000

Empowering Brands with Strategy, Creativity, and Impact
PlurkoTech’s integrated marketing solutions are tailored for modern businesses—whether you're a fast-scaling startup or an established enterprise. From branding to campaign execution, every service is designed to spark engagement, build trust, and drive tangible results.

“In a digital-first world, having a strong and consistent brand is more than a nice-to-have—it’s essential,” said a spokesperson at PlurkoTech. “Our goal is to bridge the gap between strategy and creativity to help brands communicate better, grow faster, and stand out with purpose.”

Our Core Services Include:

Brand Identity & Visual Design
Developing bold, memorable brand systems that resonate and differentiate.
UI/UX & Digital Experience Design
Creating intuitive and user-focused interfaces across web and mobile platforms.
Content & Media Creation
Producing impactful visual, video, and written content that captures attention and drives action.
Performance Marketing
Launching data-backed campaigns that deliver measurable ROI and business growth.
Campaign Strategy & Execution
Building integrated, multi-platform strategies that tell your brand story with clarity and impact.
Social Media Management
Cultivating engaged communities and maintaining a consistent brand voice across platforms.

Why Choose PlurkoTech?

All-in-One Partner: From design to deployment, everything under one roof.
Scalable Services: Solutions that grow with your brand—no matter the size or industry.
Expert-Led Teams: A creative and strategic crew committed to your success.
Outcome-Driven: Focused on results, not just deliverables.

Let’s Create Something Impactful.

📧 contact@plurkotech.com
🌐 www.plurkotech.com
📍 New Delhi, India

Unveiling Next-Gen Semiconductor IP Portfolio

PlurkoTech — Sat, 26 Jul 2025 10:18:11 +0000

Plurko Technologies Pvt. Ltd. (PlurkoTech), a rising force in semiconductor IP and design innovation, has officially launched its comprehensive portfolio of silicon IP cores. Designed to accelerate SoC, ASIC, and FPGA development, these IP solutions cater to a wide range of sectors, including consumer electronics, automotive, IoT, AI, and wireless communication.

Unlocking First-Pass Silicon Success

PlurkoTech’s portfolio includes a robust lineup of silicon-proven IP cores—from processor cores and high-speed interfaces to analog/mixed-signal blocks, memory controllers, and wireless communication IPs. Each offering is engineered for easy integration and fast time-to-market, enabling design teams to tackle the increasing complexity of modern chip development with confidence.

"Our mission is to provide design teams with robust IP solutions that accelerate development cycles while ensuring the highest standards of quality and scalability,” said by our Director. “By delivering a comprehensive range of silicon components, we empower innovation across multiple, demanding markets."

What’s Inside our IP Portfolio?

Processor Cores: RISC-V 32/64-bit cores designed for flexibility, security, and performance
High-Speed Interfaces: PCIe, USB, HDMI, DisplayPort, SerDes, Ethernet (10M–1G)
Memory Interfaces: DDR, LPDDR, UFS, UniPro, M-PHY
Analog & Mixed-Signal IP: SAR ADCs, DACs, PLLs, LDOs, DC-DC converters
Automotive Interfaces: CAN, CAN FD, CAN XL, SPI, LIN, MIPI CSI/DSI
Multimedia & Imaging: H.264/H.265 video codecs, ISPs, audio codecs
Cellular & Wireless IP: Wi-Fi, Bluetooth, NFC, 4G LTE and 5G NR (Sub-6 GHz & mmWave) PHY and MAC IP, low-power cellular stacks.
Verification IP (VIP): USB, PCIe, HDMI, MIPI, JESD204, and others

All IP cores are compatible with major foundries such as TSMC, Samsung, and GlobalFoundries, ensuring seamless integration and scalable deployment.

AI-Powered EDA Tool

To further streamline chip development, PlurkoTech also introduces Chip AI Agentic Tool—an AI-driven EDA platform that automates RTL generation, verification, PPA optimization, and bug localization. By reducing manual intervention and enhancing accuracy, ChipAgents™ helps engineering teams achieve first-pass silicon success faster than ever.

“AI Agentic Tool—an AI-driven EDA Tool represents our commitment to delivering smarter, faster, and more efficient chip design solutions" was mentioned by our Technical Lead. "It empowers engineers to achieve first-pass silicon success with increased confidence and reduced risk.”

Designed for Startups and Industry Giants Alike

Whether you're a nimble startup or a global OEM, PlurkoTech’s scalable IP solutions and design services are built to adapt. The company’s collaborative approach, technical excellence, and dedication to quality make it a valuable partner in the fast-paced semiconductor landscape.

Contact Information
📧 contact@plurkotech.com
🌐 www.plurkotech.com
📍 New Delhi, India