Generative AI Development Services
Leading the charge in Generative AI with a commitment to ethical practices and a deep respect for its societal impact, ensuring that innovation is conducted transparently and responsibly.
Generative AI Development – Beyond Text, Images & Videos
Language-driven innovation is the next big thing. It empowers enterprises to get rid of data complexity & learning curve involved in queries. Simply ask the questions in your words and let gen AI & LLM do magic. Our LLM consulting & Gen AI development services are designed to empower enterprises with both public & tailored-made models to craft compelling narratives, automate tasks, and create seamless conversational experiences on top of your proprietary data.
Azilen Generative AI Development Services
We blend advanced algorithms with your unique requirements & dataset to craft models that are both powerful & precise.
- Neural Network Architectures
- Domain-Specific Models
- Models Pre-Training & Fine-tuning
- Model Evolution & Optimization
Ensuring that Gen AI solutions blend effortlessly with your current infrastructure, enhancing functionality.
- Generative AI Custom Integration
- Data Preparation & Integration
- GenAI Integration into Workflows
- API-based Model Integration
Our approach guarantees that your data infrastructure supports the scalability and adaptability of your AI initiatives.
- Data Annotation & Labelling
- Model Training Pipelines
- Data Bias Mitigation
- Data Governance Framework
We manage the deployment process, ensuring that your models are integrated smoothly into your environment.
- Generative AI – ModelOps
- Models Deployment Pipelines
- Models Monitoring & Governance
- Continuous Model Validation
Our RESPONSIBLE AI Framework as Leading Generative AI Development Company
LLM Models We Work with as Part of Our Gen AI Development Services
Where GPT 3.5 left off, GPT-4 takes the next giant leap in Al language generation, pushing the boundaries of text-based Al even further.
- Handles complex, nuanced tasks
- Excels in high-quality text generation
- Ideal for sophisticated AI applications
- Elevates natural language understanding
Google's experimental conversational Al service powered by LaMDA. It fetches data from the web to offer fresh, high-quality responses.
- Integrates real-time web data
- Delivers engaging, interactive responses
- Optimized for conversational experiences
- Provides accurate, fresh outputs
Straight from Meta, it’s next generation of open-source large language model, trained on 40% more data than LLaMA 1. It is fine-tuned for dialog, called LLaMA-2 Chat.
- Trained on 40% more data
- Fine-tuned for effective dialogues
- Offers open-source flexibility
- Suitable for diverse applications
Targeting advanced reasoning tasks, including code and math, classification and question answering, it was launched by Google. Google claims it to be bias-free.
- Excels in code, math tasks
- Reduces bias in AI interactions
- Designed for advanced problem solving
- Perfect for specialized industry needs
with Cutting-Edge Generative AI?
Unleash Strategic Innovations
Leading-Edge Tech Fueling Our Generative AI Development Services
- Generative Adversarial Networks (GANs)
- Variational Autoencoders (VAEs)
- Transformers
- Diffusion Models
- Language Models (e.g., GPT)
- Neural Radiance Fields (NeRF)
- OpenAI GPT-4 API
- Hugging Face Transformers
- PyTorch Lightning
- TensorFlow
- DeepMind JAX
- Runway ML
- Google Cloud Vertex AI
- AWS SageMaker
- Azure OpenAI Service
- NVIDIA DGX Systems
- Databricks for Gen AI
- Paperspace Gradient
Meet the Team Behind Our Gen AI Development Services
Researchers
Engineers
Engineers
Experts
Scientists
- AI-First Strategy
- Adaptive AI Solutions
- AI-Powered Personalization
- AI Security and Trust
- AI-Enabled Sustainability
- Parallel Engineering
- Agile AI Development
- Reduced AI Biased
- Enhanced Personalization
- Innovation and Creativity
- Scalability
- Real-Time Insights
- Adaptive Learning
Our Gen AI Development Process
Identification
Assessment
Engagement
Definition
Assessment
Collection
Cleaning
Transformation
Labeling
Checks
Selection
Setup
Training
Tuning
and Testing
with Systems
Testing
Monitoring
Loop
Optimization
Sound Reasons to Place Your Confidence in Azilen - Top Generative AI Development Company
Since 2009
in DNA
Understanding & SMEs
Security Mechanism
Less Than Excellence
Unfiltered Customer Reviews
In the rapidly evolving world of technology, finding a reliable software development partner is like finding a needle in a haystack. But with Azilen, we found a team that constantly seeks to understand our complex environment and requirements while translating them into practical, efficient solutions.
Their team of skilled developers has consistently delivered high-quality software. Their ability to adapt to changes and provide innovative solutions has greatly contributed to our success.
We are satisfied with our partnership with Azilen and look forward to achieving greater milestones together.
The Azilen team helped develop a complex cross-platform mobile application. We were more than happy with the professional project management and transparent communication. Scoping and implementation were as easy as working with local staff. The results delivered were always on time and of high quality. We look forward to working with Azilen on our next project.
We appreciate our relationship with Azilen. We are just getting going, ClearingBid is going to democratize the IPO market for all, this is where Azilen has helped and played an important role with us. For a big vision, we did not have a design team to start, so number of our solutions were driven by Azilen. I want to give a big shout out the structured product management skills and the necessary follow up efforts from the team.
We are extremely satisfied with the competence technical expertise that Azilen has shown us, this is combined with great customer service.
Case Studies: Real Transformations, Real Results
In healthcare, the ability to scale services and ensure reliable delivery of applications is highly crucial. HealthTech platforms, tasked with handling sensitive patient data and providing critical services, face unique challenges that demand innovative solutions. This is where automated Kubernetes optimization comes into play.
As customer expectations shift, businesses must architect omnichannel customer experience solution that deliver unmatched digital experiences. This case study delves into a platform that leverages high-performance architecture to seamlessly integrate channels, ultimately redefining the omnichannel customer journey.
In the world of assisted reproduction, the fusion of technology and medicine is creating exciting new possibilities. This case study dives into a cutting-edge project that combines EHR and EMR with an AI-based platform designed to predict IVF success rates.
For enterprise platforms, where high availability, security, and scalability are paramount, managing these demands can be a complex challenge. This is where managed DevOps services come into play. It can offload the complexities of infrastructure management and focus on innovation and growth.
Frequently Asked Questions (FAQ's)
Generative AI refers to algorithms that can create new content, such as text, images, or designs, based on input data. For product owners, this technology can enhance user experiences, automate content creation, personalize interactions, and drive innovation by generating new ideas or solutions.
We ensure quality and relevance by using high-quality, diverse datasets for training, continuously refining the models through iterative testing, and incorporating feedback loops. We also employ validation techniques to assess the accuracy and appropriateness of the generated content.
We generally need access to domain-specific data relevant to your product’s context. This might include customer data, product details, existing content, or any other information that can help in training the AI models to align with your objectives.
The timeline varies based on the complexity of the project and the specific requirements. Typically, development can range from a few weeks to several months, including stages like data preparation, model training, testing, and integration.
We adhere to strict data privacy and security protocols, including encryption, anonymization, and compliance with relevant regulations. Your data is handled with the utmost confidentiality, and we ensure that all measures are in place to protect it.
Model drift, where AI performance degrades due to changing data patterns, is managed through continuous monitoring and periodic retraining. We implement robust monitoring systems to track model performance and use adaptive techniques to update models as new data becomes available.
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