Engineering, manufacturing and AI solutions

Engineering solutions for materials, manufacturing and intelligent systems

3D Srishti helps organisations solve technical challenges through engineering design, composite materials, additive manufacturing, advanced manufacturing support and practical AI solutions.

  • Engineering design
  • Composite materials
  • Additive manufacturing
  • Applied AI
Engineering diagram connecting composite materials, additive manufacturing and AI systems
01EngineerMaterials and products
02ConnectMachines and data
03IntelligiseWorkflows and decisions
04ScaleValidated solutions

Engineering and technology services

Practical support for technical development and manufacturing

Services are structured around defined client requirements, technical evidence and clear deliverables.

Engineering Design and Analysis

Develop and assess components, assemblies and technical concepts against functional, manufacturing and project requirements.

  • Concept and requirement development
  • Engineering calculations and modelling
  • Design review and technical documentation

Composite Material Design and Modelling

Select materials and develop composite concepts, laminate strategies and models for defined loading, weight and manufacturing needs.

  • Fibre and polymer material selection
  • Laminate and structural modelling
  • Performance assessment and design iteration

Additive Manufacturing and Prototyping

Design prototypes and functional parts for additive processes, then plan practical routes from early trials to repeatable manufacture.

  • Design for additive manufacturing
  • Prototype design and build planning
  • Process parameter and feasibility studies

Advanced Manufacturing Support

Improve manufacturing workflows by examining process constraints, quality needs and opportunities for controlled implementation.

  • Process mapping and optimisation
  • Production data and quality review
  • Implementation planning and technical support

AI, Machine Learning and LLM Solutions

Apply AI methods to defined engineering, knowledge and operational tasks where data quality, traceability and human oversight matter.

  • Predictive and analytical models
  • Document retrieval and LLM workflows
  • AI-assisted engineering automation

Technical Consulting and Research Support

Support technical decisions with structured investigation, evidence review and clear engineering or research documentation.

  • Feasibility and technical studies
  • Literature and evidence review
  • Research planning and technical reporting

Industry focus

Built for complex, engineering-led environments

We adapt methods and delivery models to the technical, commercial and regulatory context of each sector.

01

Aerospace and Mobility

Lightweight structures, material performance, optimisation and engineering data solutions.

02

Industrial Manufacturing

Process intelligence, connected operations, quality analytics and digital manufacturing tools.

03

Medical and Precision Products

Data-assisted design, traceable workflows and AI-supported analysis for high-value products.

04

Research and Innovation

Applied research partnerships, proof-of-concept systems and pathways from evidence to deployment.

Delivery approach

A structured path from challenge to validated solution

1

Discover

Clarify the business need, engineering context, data landscape, constraints and success measures.

2

Engineer

Design the material, model, architecture or application around the real operating environment.

3

Validate

Test technical performance, usability, reliability and decision value before wider implementation.

4

Deploy

Implement the solution with documentation, training, controls and a practical improvement roadmap.

Core capabilities

Focused capability across engineering, manufacturing and applied AI

Capabilities can be combined around the technical requirements, constraints and deliverables of each engagement.

Concept development

Turn an early need or technical challenge into defined requirements, options and evaluation criteria.

Material selection

Compare material systems against performance, manufacturing, environmental and project constraints.

Engineering analysis

Use calculations and modelling to examine loads, performance, design trade-offs and technical risk.

Prototype design

Develop prototype geometry, build intent and practical plans for manufacture, testing and iteration.

Process optimisation

Map workflows, identify constraints and define measurable changes to improve control and consistency.

AI-assisted engineering workflows

Combine models, technical information and human review to support repeatable engineering tasks.

Data-driven decision support

Structure operational and engineering data so teams can compare evidence and make informed decisions.

Research and technical documentation

Plan investigations, review evidence and produce clear reports, procedures and design records.

Applied innovation

Technology is valuable when it improves an engineering or business decision

We focus on usable systems, clear evidence and controlled implementation. Every engagement begins with the operating problem, not with a preselected technology.

Start a technical conversation
Engineering-firstMethods grounded in technical context
Evidence-ledValidation before scale
ModularSolutions that grow with requirements
CollaborativeKnowledge transfer throughout delivery
Illustration of engineering, materials and digital systems working together

About 3D Srishti

Multidisciplinary expertise for the next generation of manufacturing

3D Srishti brings together materials engineering, manufacturing knowledge, data science and artificial intelligence to support practical innovation.

Our work is shaped around client context, technical evidence and clear implementation pathways. We support early exploration, proof-of-concept development and production-focused improvement.

InnovationPurposeful ideas with commercial relevance
ReliabilityClear methods, controls and accountability
ScalabilitySolutions designed for future growth
PartnershipCollaborative delivery and knowledge transfer

People and capability

Our Team

The team combines engineering, manufacturing, research and technology capabilities to support project delivery.

Dr. Eshwar Reddy Cholleti

Founder

Narender Reddy Naredla

Co-Founder

Professor Ian Gibson

Research Adviser

Vishal Polu

Team Leader

Anukar Reddy N

Team Member

Anoohiya

Team Member

Malla Reddy Cholleti

Team Member

Ajay Kumar V

Team Member

Project consultation

Book a Consultation

Choose an available time to discuss your engineering, manufacturing or AI project with the 3D Srishti team.

Discuss a project

Start a practical conversation about your technical challenge

Tell us what you need to design, analyse, manufacture, improve or investigate. We will review the enquiry and respond with suitable next steps for an initial discussion.

Enquiries we welcome

Engineering design, composite materials, prototyping, manufacturing support, applied AI, technical consulting and research support.

Helpful information to include

Your objective, current constraints, available information, expected deliverables and preferred timeline.

Your details will be used only to review and respond to this enquiry.

Ready to explore the opportunity?

Turn an engineering challenge into a practical implementation plan

Book a Consultation