(Medical Imaging Analysis) Enhance early diagnosis and therapy planning by finding abnormalities in medical images like MRIs and X-rays using generative AI.
(Algorithmic Trading) Apply gen AI in forecasting market trends and optimizing trading methods by automating investing decisions and reducing risk.
(Content Generation) Create personalized and engaging marketing materials, such as social media postings, email campaigns, and product descriptions.
(Autonomous Vehicles) Self-driving cars powered by generative AI provide smooth and human-like interactions, boosting driver and passenger experience.
(Procedural Content Generation) Use generative AI to create characters, gaming areas, and interactive features for video games, offering countless gameplay options.
(Inventory Optimization) Optimize your stock levels by automating demand forecast reporting and streamlining inventory management.
(Music and Art Generation) Artists have more creative ideation opportunities due to generative AI solutions that help in producing music, video, and digital artwork.
(Document Generation) Generative AI helps law companies generate contracts, case summaries, and legal papers, streamlining the production of documents.
(Product Design and Prototyping) Gen AI solutions speed up product development, helping with fast product design, 3D modeling, and prototype simulation.
(Crop Management ) AI-driven agriculture gets optimized through automating insights on crop health, irrigation, and soil conditions.
Our team of architects and designers, generative AI developers, software engineers, and QA specialists are experienced in using the most up-to-date technologies.
At Waverley Software, we develop projects while adhering to the timeless standards of software efficiency, scalability, and dependability by utilizing tried and tested technologies and development methodologies.
In addition to working on a variety of software products, our committed development team of specialists in AI, ML, and data science, has earned numerous PhDs and excelled as conference speakers and tech leaders.
Waverley is your one-stop shop for software development services. In addition to AI architects, we have data labeling experts, QA engineers, designers, mobile developers, business analysts, and other essential talent.
We have three decades of experience working on Silicon Valley-born projects helping both startups and established companies with high-quality software product development.
Innovate at scale and automate business operations with award-winning AI software solutions that help companies stay ahead of the curve globally.
As a ChatGPT integration provider, we help other businesses use ChatGPT and NLP technology for data analysis, customer relationship improvement, business intelligence, SEO automation, and more.
As an ML app development company, we help clients develop and customize ML algorithms, collect and prepare domain-specific datasets, and integrate ML models into their solutions.
A subfield of artificial intelligence called “generative AI” is dedicated to producing unique text copy, images, video, and other content that closely resembles one created by a human. It entails teaching algorithms to produce original content – such as pictures, text, or even music—instead of simply repeating or copying plain data.
It is possible to integrate generative AI solutions with already-in-use software or systems. These solutions can be tailored to seamlessly connect and improve your systems, depending on the way your software application is set up.
You can take a look at the portfolio of our past and current generative AI projects, featuring our clients’ requests, the technology expertise we provided, the project team composition, and the results we delivered.
Generative AI is a subfield of “general” AI, focused on very specific tasks, such as producing text and visual content, extracting specific data or data in specific format from larger portions of data, summarising, classification, and rewriting text in response to requests made in natural language. Meanwhile “Traditional” AI encompasses these and other aspects of using large sets of data to build and train ML models that enable natural language processing, computer vision, autonomous decision making, pattern detection, and prediction functionality.
To create and train generative AI models, software engineers take the deep learning approach using neural networks, specifically GANs (Generative Adversarial Networks) and RNNs (Recurrent Neural Networks), that “feed” on large datasets of preprocessed (i.e. sorted and labeled) general or domain-specific data so that they can recognize patterns and produce outputs based on those patterns. This way, they are “taught” to take in any text, image, audio, video, and code content to create new unique content in any of these formats.
Generative AI is widely applicable in practically any field. It can help industries including marketing (content development), healthcare (medical imaging analysis), finance (algorithmic trading), entertainment (creative content generation), and more. Visit the Industries tab on our Main Menu to find out how your business domain can benefit from our software development services and generative AI development in particular.
In addition to producing unique text content, generative AI may help with image and video content creation, generating natural language text, speech, and visual digital materials flawlessly and in the blink of an eye. Also, generative AI can help you better process and understand big volumes of data, providing fresh insights and unexpected solutions for challenging issues.
