Generative AI Software Development
Our generative AI solutions
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.
With NLG software solutions, you can automatically generate coherent, contextually relevant written content based on predefined rules. Our AI developers will create custom NLG solutions suited to your unique needs. Whether it's creating reports, summaries, or personalised communication, you'll craft natural-sounding messages with ease.
From intelligent assistants and smart devices capable of interacting with users through spoken responses to smart navigation systems and voice-enabled interfaces, speech synthesis has powerful applications in various fields and industries. With our artificial intelligence software development services, you can add the innovative features of text-to-speech AI to your products and gain a competitive advantage.
AI solutions based on diffusion or autoregressive models, also called ‘text-to-image generative models’, are powerful tools for converting textual descriptions into visual representations such as images, artwork or designs. With this, you can create personalised visual content, prototype products and streamline your creative processes. A wealth of industries, including retail and e-commerce, advertising and fashion can use generative AI models for automated image generation to enhance concept visualisation, product design and prototyping.
Industry-specific use cases
for generative AI
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
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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