Yarok14

About Yarok14

Yarok14 is a next-generation technology company pioneering the convergence of semiconductor design, AI/ML solutions, and intelligent software systems. We specialize in delivering end-to-end hardware-software co-design, empowering industries in clean energy, AI, industrial automation, healthcare, and embedded systems to solve complex challenges through innovation. At Yarok14, we engineer solutions at the intersection of VLSI design, FPGA/ASIC development, AI/ML integration, data engineering, and software development. Our flagship innovation—the Yarok14 Hardware—is a mixed-signal chip optimized for biomethane production, blending sensor fusion, real-time analytics, and automated control to drive sustainable energy outcomes. We serve a global clientele, from startups to enterprise R&D labs, offering custom hardware design, AI/ML modeling, scalable data solutions, and software development expertise tailored to accelerate product development and digital transformation.

Global VLSI Services

We proudly serve clients across United States, Canada, Germany, Netherlands, France, United Kingdom, MiddleEast, Taiwan, Singapore, Japan, South Korea, and Australia along with Indian projects.

How we work:

Secure global delivery via cloud-based client tools over VPN
Integration of open-source EDA tools to reduce cost and accelerate development
Flexible models — hourly, fixed-price, or project-based
Proven experience on IP, ASIC, FPGA projects

AI, ML, Software development & Data Services

AI & Machine Learning

Develop intelligent systems for predictive analytics and optimization.

Generative AI

Build GenAI solutions for text, image, and data generation.

Data Science

Analyze data to extract insights, patterns, and business value.

Business Analysis

Drive data-backed strategies to improve operations and decisions.

Flutter Mobile Application Development

Build high-performance, cross-platform mobile apps using Flutter and Dart.

VLSI & Hardware Services

ASIC Design

Custom RTL and analog design solutions for next-gen hardware.

Specialties: Fabless semiconductor companies, ASIC/SoC design houses

FPGA Prototyping

Rapid hardware-software co-design and validation on FPGA platforms.

Specialties: Automotive, AI, 5G, and defense chip companies

Verification

UVM and formal verification to ensure flawless silicon implementation.

Specialties: IP vendors and startups

Client Tool Access

Secure VPN-based access to client tools and environments under signed NDAs, ensuring confidentiality and collaboration.

DFT (Design for Testability)

Scan architecture design, memory BIST, boundary scan, and low-overhead test logic insertion.

Products

IoT based Biomethane Optimization System, which involves a combination of hardware and software components to monitor and control the production of biomethane.

Hardware Components

1. ESP8266: A microcontroller with Wi-Fi capabilities for cloud communication.
2. MSP430: A microcontroller unit (MCU) for general-purpose processing.
3. Agitator: A device used to mix or stir liquids.
4. Temp/pH sensors: Sensors to measure temperature and pH levels.
5. Heating and pH controller: A device to control temperature and pH levels.
6. SPM membrane: A type of membrane used for separation or filtration.
7. Air compressor: A device to compress air.
8. Energy meters: Devices to measure energy consumption.
9. 2 Kwh generator: Electricity production
10. Kerala Vision WiFi Router

Software Components

1. Flutter: A framework for building SCADA (Supervisory Control and Data Acquisition) PLC frontend software.
2. Python: A programming language used for API development.
3. SQL: A programming language used for backend database management.
4. AWS: A cloud storage platform for storing and managing data.

System Overview

The Biomethane Optimization System appears to be a comprehensive solution for monitoring and controlling biomethane production. The system integrates various hardware and software components to:

1. Monitor temperature, pH, and other parameters.
2. Control heating, pH, and other processes.
3. Measure energy consumption and optimize energy usage.
4. Provide a user-friendly interface for monitoring and control using SCADA PLC frontend software.
5. Store and manage data in the cloud using AWS.

Benefits

The Biomethane Optimization System can help:
1. Optimize biomethane production.
2. Improve energy efficiency.
3. Reduce costs.
4. Enhance monitoring and control capabilities.
5. Efficient Digestion of waste into nutrient value slurry.

Case studies and Projects

RISC-V pipeline

Custom RISC-V pipeline design and verification—delivering scalable, high-performance cores tailored for next-gen embedded and AI applications.

MAC array Design Verification (DV)

Accelerate silicon success with high-coverage, UVM-based Design Verification for MAC arrays—ensuring accuracy, performance, and seamless integration in compute-intensive SoCs.

LLM & Gen AI in RTL to GDSIII Design

Explore the feasibility of integrating Large Language Models and Generative AI across the RTL-to-GDSIII pipeline. From RTL generation to timing analysis and DRC fixing, AI is reshaping silicon design with intelligent automation, accelerating development while reducing manual bottlenecks.

Feasibility: High in RTL, reporting, and constraint generation
Challenges: Tool integration, IP security, explainability
Outlook: Domain-specific LLMs and RAG systems can bridge the gap