Generative AI Software Development
Generative AI Software Development
Work With Top Software Developers
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What you get with ELEKS' generative
AI development services

01
Optimisation of complex design processes

Custom generative AI solutions can streamline even the most intricate creative processes, allowing designers and engineers to identify optimal solutions faster and more effectively than traditional methods. The potential use cases of generative AI for designers are diverse, from parametric design optimisation and adaptive design to content and image generation, rapid prototyping, conceptualisation and help with complex systems integration.

02
Automated content generation and dynamic personalisation

Generative AI systems, powered by machine learning and advanced Natural Language Processing (NLP) models, can revolutionise content creation, localisation and personalisation, including multimedia content like realistic images, videos, sounds and interactive elements. And generative models can transform all kinds of sectors, from e-commerce to media to marketing and more, helping businesses analyse customer behaviour, create dynamic, customised product recommendations, generate code or text, run adaptive email marketing campaigns and facilitate A/B testing.

03
Improved engagement with tailored customer experiences

Businesses can use generative AI to create custom interfaces and innovative, interactive user experiences tailored to individual preferences, behaviours and needs. For example, chatbots and intelligent assistants can use AI models for speech generation to engage with customers using natural language, providing personalised responses, recommendations and support by analysing historical interactions and individual preferences.

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Customer feedback

ELEKS is a top notched engineering company that offers critical resourcing needs for technology companies, including startups. ELEKS has been a strong collaborative partner in our journey.
Sek Chai
Sek Chai
CTO / Co-founder
Ready to unlock the potential of generative AI systems for your business?
Contact ELEKS
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Our Generative AI solutions

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Conversational AI systems

ELEKS offers custom сonversational AI solutions like intelligent chatbots and virtual assistants powered by NLP. These solutions simplify the collection and analysis of data, enabling you to streamline your customer services. So you can focus your human resources on more complex tasks while optimising business operations and reducing overheads.

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Natural Language Generation (NLG) tools
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Speech synthesis and signal processing
MLOps
Text-to-Image generative AI solutions
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Industry-specific use cases
for generative AI

Healthcare
Retail
Finance
Media and entertainment
Insurance
Logistics
Manufacturing
Automotive
Oil, gas, and mining
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Generative AI in healthcare

  • Generative AI-based image synthesis in medical imaging
  • Machine learning-based drug discovery and development
  • Personalised treatment and diet plans
  • Text, clinical documentation and summary production
  • Predictive analytics for patient outcomes
  • Virtual patient simulations for medical training
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Generative AI in retail

  • Machine learning-based dynamic pricing optimisation
  • Visual merchandising optimisation using generative AI models
  • Generative AI for tailored loyalty programs and rewards
  • Recommendation engines for personalised offers
  • Inventory management and demand forecasting
  • Chatbots and intelligent assistants
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Generative AI in finance

  • Automated credit scoring and risk assessment
  • Personalised financial advice based on generative AI models
  • Chatbots for customer support
  • Data-driven portfolio optimisation
  • Automated compliance and regulatory reporting
  • Automated fraud detection and prevention
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Generative AI in media and entertainment

  • Text generation, content recommendations and personalisation
  • Automated video editing with generative AI models
  • Realistic computer-generated imagery (CGI), text, sound, video, AI-generated art
  • Closed captioning and subtitling with natural language processing
  • AI-generated content and personalised streaming
  • Generation of marketing copy, personalised advertising and monetisation
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Generative AI in insurance

  • Risk assessment and underwriting optimisation
  • Generative models for automated claims processing
  • Personalised insurance products
  • Predictive analytics for loss prevention
  • Machine learning-based automated quote generation
  • Customer service chatbots
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Generative AI in logistics

  • Route optimisation and planning based on machine learning algorithm
  • Inventory management and demand forecasting
  • Predictive maintenance for logistics fleets
  • Automating warehouse operations
  • Data-driven last-mile delivery optimisation
  • Dynamic pricing strategies based on machine learning models
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Generative AI in manufacturing

  • Generative design for product prototyping
  • Automated quality control and defect detection
  • Data-driven predictive maintenance for equipment
  • Machine learning models for supply chain optimisation
  • Suggesting energy consumption optimisation strategies
  • Automated process planning and optimisation
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Generative AI in automotive

  • Generative design for vehicle components using AI algorithms
  • Generative models for autonomous vehicle simulation
  • Customised vehicle personalisation using a generative AI models
  • Supply chain optimisation for automotive manufacturing
  • Automated inspection and quality control
  • Machine learning-based predictive maintenance for fleets
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Generative AI in oil, gas, and mining

  • Reservoir modelling and simulations using generative models
  • Data-driven predictive maintenance for equipment
  • Optimising logistics and procurement with machine learning
  • Automated safety and risk assessment
  • Environmental impact assessment for oil and gas operations
  • Artificial intelligence for energy consumption optimisation
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How we deliver generative AI solutions 

  • Discovery

    We allocate a team of generative artificial intelligence and machine learning experts to conduct discovery sessions in which they analyse your existing training data and delve deep into your organisational ecosystem. In doing so, we’re able to uncover the challenges and opportunities unique to your business so that we can determine where AI tools can deliver the most value.

  • Generative AI solution design

    This stage of the generative AI model development process involves crafting a comprehensive project roadmap. We provide a detailed plan involving solution architecture design and a strategy for building and integrating a generative AI model within your infrastructure.

  • Development and deployment

    Our expert team will develop and deploy a generative AI model tailored to the exact requirements created during the discovery and solution design phases. We’ll ensure the generative AI system seamlessly integrates into your existing infrastructure, providing complete convergence with your operational framework.

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Case studies

Generative AI development success stories

Providing Data Science Expertise to Help Edge AI Startup Mature and Meet Market Demand
latent ai
Providing Data Science Expertise to Help Edge AI Startup Mature and Meet Market Demand
As Latent AI grew, it was able to leverage ELEKS' technical expertise and adaptability
ELEKS has delivered niche skills to a prominent edge AI tech startup
View case study
Enhancing Customer Support Efficiency with AI-Powered Knowledge Management
Enhancing Customer Support Efficiency with AI-Powered Knowledge Management
20% reduction in root cause analysis time
Enhanced knowledge management and improved support engineer productivity
ELEKS implemented an AI-powered knowledge management solution to optimize customer support operations, leveraging Microsoft Copilot Agent. This innovative tool enhances issue categorization, accelerates root cause analysis, and streamlines access to historical resolutions.
View case study