info@imetatech.ioOur Global Presence : 
India 
Dubai
Our Global Presence : India Dubai
We engineer generative AI solutions for any business use case that is tailored to your exact needs.
Make use of Generative AI to automatically generate human-like text for content creation, chatbots, and natural language processing apps. We help you to create AI content creation tools that stay accurate and contextually relevant in outputs.
Generative AI can be applied in the generation of realistic images, artworks, or even enhancing photos. We make an AI based image creation platform that works spontaneously with prompts catered to it.
We help you to reinvent software development by employing Generative AI to auto-generate code snippets, prototypes, and even entire programs. Code synthesis generative AI can accelerate the low-code and reduce manual effort.
Build a bespoke AI model that improves the quality of musical composition by employing Generative AI algorithms. Gen AI can help artists create unique tunes, harmonies, and unlock new predictions in music creation and production.
We help you to apply Generative AI solutions for the pharmaceutical industry particularly in molecular design that accelerate drug discovery processes. You can build AI tools that predict potential drug candidates and optimize molecular structures.
We implement generative AI solutions in human-like speech synthesis for developing apps such as virtual assistants, voiceovers, and interactive systems just like Alexa, Siri and Google assistant.
Our AI experts can integrate Generative AI solutions for procedural content generation, like automating the creation of game levels, characters, and scenarios. Using gen AI, you can build a game with engaging and immersive gameplay.
We help you to implement Gen AI in machine learning models for improving data augmentation, creating diverse and realistic synthetic data. This helps your Machine learning engineers to easily train datasets and boost model generalization.
You can make Canva like platforms easily when adopting generative AI solutions. Static images or textual descriptions into dynamic videos using Generative AI, opening up possibilities for automated video content creation, animation, and storytelling.
We will plot what you and our company are going to achieve in this stage. What problem are you going to solve since gen AI solutions can be applied to wide categories. Defining the outcome clearly propels us to move in the right direction. Splitting up the process in milestones helps us to deliver on time.
In this stage, we understand your core needs and choose the right AI model. Our developers would pick Popular models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Diffusion Models. Then the prepared data can be trained with the model we choose.
After testing the model in 360 degree user POV, we integrate the model into your newly developed application or existing platform. All the processes like APIs, web interfaces, or custom software can be sorted out here. Post launch of beta release, we monitor the model's performance and make adjustments as needed.
We carefully test the generative AI model on unseen data to assess its performance and identify areas for improvement. This is performed by our data scientists, AI engineers, and other technical experts to Fine-tune the model by adjusting its parameters or exploring different training configurations.
iMeta technologies, being the strong believer of AI and their impact, deliver the best AI based apps powered by Generative AI. From Saas based AI image creation tool to 24/7 answering chatbots in healthcare apps, we excel in every niche. Error free development process and the expert data scientists, analyst we have in-house are pioneering the Gen AI development forward. We’re recognized by the global brands for outsourcing their AI based application development. Even for small companies or startups, we give green signals in making their dream into reality with our generative AI development services. We implement the gen AI solutions even in dataset rich organizations without disturbing the operation.
