Engineering
Mechanical Engineering
Our Experience in Mechanical Engineering Capability
At Suyan Group, our Mechanical Engineering Capability is rooted in precision, innovation, and performance. We provide comprehensive engineering solutions that span the entire product lifecycle—from concept design and prototyping to detailed engineering, testing, and manufacturing support. Our team brings deep technical expertise in mechanical design, CAD modeling, simulation, material selection, and systems integration to deliver robust and cost-effective solutions for complex engineering challenges.
Whether developing components, assemblies, or full-scale systems, we focus on optimizing functionality, durability, and manufacturability to meet the highest industry standards. With experience across industries such as automotive, industrial automation, robotics, and consumer products, Suyan Group is committed to delivering mechanical engineering solutions that drive efficiency, reduce time-to-market, and support long-term operational success.
Mechanical Engineering
2D Drawing &
3D modelling
We have vast experience in developing 2D and 3D models using Catia, Creo, UG NX for multiple industries.
Value Engineering
Our VAVE framework ensures effective solutions in reducing cost and weight of the product while ensuring safety and performance.
Jigs & Tools Design
Simple and complex jigs and tool designs that assure quality, attention to detail, enhanced production speed and cost savings.
NC programming
NC programming
CAE
F&DT
Fatigue & Damage tolerance analysis that ensures structure stability and reliability of aircraft systems.
Linear & Non – Linear Static
Our CAE teams helps predict structural performance, optimize components, and anticipate potential failures
Crash & Durability
Experience in providing full
vehicle simulations
Tools
- Catia V5
- Teamcenter
- Windchill
- Creo
- Patran
- Siemens NX
- Ansys
- Nastran
- Vericut
- Powermill
- Enovia
- Abaqus
- Altair
- Master CAM
- Patran
Tools
Teamcenter
Windchill
Creo
Siemens NX
Ansys
Nastran
Vericut
Powermill
Altair
Master CAM
Value Additions
- Experienced systems engineers who are ready to take the complex systems and provide the technical solutions.
- Remote, rapid deployment and ramp up of team to meet need
- Development of various power-BI dashboards to support the customer for statistical analysis and technical decision making
- AI solutions for process improvement & cost reduction
- Quick learning and execution with first time acceptances and on time deliveries
Full service information management
What is meant by Digital & AI Capability?
It refers to the tools, technologies, skills, and processes that organizations use to leverage digital systems and artificial intelligence for better decision-making, automation, and innovation.
Why is Digital & AI Capability important for businesses?
It helps businesses improve efficiency, enhance customer experiences, drive innovation, and stay competitive in a rapidly evolving market.
What are examples of Digital & AI capabilities?
Examples include data analytics, machine learning, robotic process automation (RPA), cloud computing, IoT (Internet of Things), and intelligent chatbots.
How can a company build its Digital & AI Capability?
By investing in talent, modernizing IT infrastructure, adopting AI tools, integrating data across systems, and promoting a digital-first culture.
Embedded Engineering
Our Experience in Embedded Engineering
Embedded Engineering services involve the design, development, and optimization of hardware and software systems that are integrated into electronic devices. These services cater to a wide range of industries, including automotive, healthcare, consumer electronics, industrial automation, and IoT. By leveraging microcontrollers, sensors, real-time operating systems, and communication protocols, embedded engineers create customized solutions that enhance device performance, reliability, and functionality.
Model Base Design
- Control Algorithm Development
- Algorithm Refinement & Verification
- Floating Point Model
- CAN Communication protocol
- Integrate generated code with handwritten software
- Phased migration of legacy components
- Legacy to Model-based conversion
- Tool chain and automation tools for migration process to MBD
- Automatic code Generation
- Code generation & Integration
- Model Optimization & Industry standard compliance
- Model checking for production code worthiness
- Plant Modeling
- MIL, SIL, PIL Testing of the MATLAB model by comparing the legacy code
Software
- Motor Plant Modeling, Inverter Modeling
- PID Control Parameters Tuning
- Model based design and development
- Board support package design and development
- Boot loader
- CAN Communication protocol
- Control algorithm simulation
- AUTOSAR Compliant Software/MCAL
- Plant & controller modeling
- Executable specification development
- Auto-code generation
- ECU Software
- Control Software
- Platform software
- IVI system
- Functional safety complying to Automotive Standard- ISO26262
- Rapid Design & Development of Solution from scratch, understanding pain points, refining the product requirements during the course, resulting in optimal cost-effective solution
- Strong team of 60+ Engineers
- Experience in engineering of powertrains, battery management systems, and advanced algorithms
- Cost benefits through productivity tool and process improvement
- Matlab Simulink
- IBM Doors
- PTC Integrity
- LDRA
- Rhapsody
- Dspace Tool Set
- Vector Tool Set
- Artisan
- Trace 32
- GIT
- Kubernetees
- Cute
Matlab Simulink
IBM Doors
PTC Integrity
LDRA
Rhapsody
Dspace Tool Set
Trace 32
GIT
Kubernetees
C, Embedded C
Java
C++
Python
Verilog
MAAB guidelines
Full service information management
What is meant by Digital & AI Capability?
It refers to the tools, technologies, skills, and processes that organizations use to leverage digital systems and artificial intelligence for better decision-making, automation, and innovation.
Why is Digital & AI Capability important for businesses?
It helps businesses improve efficiency, enhance customer experiences, drive innovation, and stay competitive in a rapidly evolving market.
What are examples of Digital & AI capabilities?
Examples include data analytics, machine learning, robotic process automation (RPA), cloud computing, IoT (Internet of Things), and intelligent chatbots.
How can a company build its Digital & AI Capability?
By investing in talent, modernizing IT infrastructure, adopting AI tools, integrating data across systems, and promoting a digital-first culture.
