AI Software Development Services
We have successfully developed Generative AI and ML solutions offsh0re for our customers using large language models and machine learning frameworks since 2016.
AI-Powered Automation
Application Development using Computer Vision
Custom AI Model & Agent Development
Predictive Analytics & Forecasting
Predictive Analytics & Forecasting
Our Artificial Intelligence Development Services
Computer Vision
Transform your processes with Computer Vision technology. Automate quality control, reduce errors, and maintain high standards with less reliance on manual inspections.
Expert Systems
Consolidate domain knowledge, research, and data into a powerful knowledge base. Analyze information and generate reliable recommendations for autonomous actions.
Generative AI
Automate content creation, enhance user experiences, and cut production costs. Harness the power of AI to produce high-quality, original content at scale.
LLM Fine Tuning
Enhance your AI’s capabilities by fine-tuning large language models. Tailor interactions to better meet your specific business needs.
Multimodal AI
Integrate text, images, and audio for greater understanding of complex data. Discover deeper insights and hidden patterns that go beyond the capabilities of single-modal analysis.
Natural Language Processing
Analyze and extract key information from unstructured text like emails and social media. Identify trends and sentiments to drive data-driven decisions.
Reinforcement Learning
Drive innovation in autonomous systems using RL algorithms. Empower machines to make decisions and navigate complex environments independently.
We Have Built a Broad Team of Gen AI Engineers and Data Scientists
Optimize your large language models with Retrieval-Augmented Generation (RAG). Enhance accuracy, relevancy, and trust in your AI-driven solutions.
We Have Built a Broad Team of Gen AI Engineers and Data Scientists
Our track record developing AI solutions helps us attract the best developers seeking to build in AI. Data engineering talent at Ziel. We can help you proof, develop, harden, and maintain AI based solutions.
AI Architect
Designs AI systems and frameworks tailored to the customer’s needs.
ML Engineer
Designs and deploys machine learning models, enabling automation for routine or complex business processes.
Data Engineer
Builds and optimizes data pipelines and architectures, ensuring seamless data flow and accessibility for analytics and business operations.
Data Scientist
Develops algorithms and models for machine learning and predictive analysis.
MLOps Engineer
Ensures smooth deployment and management of AI models in production environments
NLP Engineer
Specializes in natural language processing for AI-powered text and speech systems
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AI-Driven Translation of Edutainment content of a Satellite Channel
In an effort to make Edutainment content of a Satellite channel more accessible to a global audience, our team embarked on a project to develop an advanced AI-driven translation system for the channel.
Why our clients love us!
Madinah Crowdfunding
CTO
Reliance Social Housing
COO
Naviti Management
Operations Head,
We Deliver Every Sprint
We develop custom enterprise-grade AI and Machine Learning solutions. From model selection, to data labeling, to deployment, we can help you design and develop custom AI solutions platforms that are tailored specifically to your needs.
Step 1
Model Selection and Implementation
Our data scientists will work with you to either build a machine learning model from scratch or select a pre-trained model that is suitable for your project. We will handle the implementation of the model using a programming language like Python.
Step 2
Data Labeling
Data preparation is a fundamental aspect of every AI model. Prior to training the machine learning model, we will meticulously label your data. This pivotal step entails assigning a class or label to a subset of your dataset and makes it ready for data analysis.
Step 3
Model Training
Our machine learning engineers will train your ML model using your labeled dataset. We will adjust the model's parameters to minimize the error between the predicted labels and the true labels.
Step 4
Model Optimization
After the initial training is complete, our data scientist will work with you to iterate on the training process and try different techniques to improve the model's accuracy. This may include adjusting the model's hyperparameters or using different AI techniques for preprocessing the data.
Step 5
Deployment to Production
Once the model is performing to your satisfaction, our team will assist with deploying machine learning models to production. This may involve integrating the model into an existing application or building a new application specifically designed to use the model.
Our Fullstack AI Development Services Expertise
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AWS
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Cohere
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Databricks
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Datastax
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Google Cloud
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Gemini
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Haystack
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AWS
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Open AI
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Python
Why Ziel for AI Software Development
Industry Experts
Businesses across industries trust Ziel. Our expertise spans industries from healthcare, finance, retail, e-commerce, media, education, manufacturing and more.
Time-Zone Aligned
Enjoy seamless collaboration with our time zone-aligned developers. Collaborate, brainstorm, and share feedback easily during your working hours.
Boost Velocity
Increase your development speed. Scale your team up or down as you need with confidence, so you can meet deadlines and market demand without compromise.
Agile Approach
We adhere to strict project management principles that guarantee outstanding software development results.
Quality Code
Benefits from our commitment to quality. Our developers receive continuous training, so they can deliver top-notch code.
Flexible Models
Our engagement models allow you to tailor our services to your budget, so you get the most value for your investment.
The latest from our den
The answers to
your questions.
What AI services does Ziel offer?
Ziel’s offerings encompass the entire AI development lifecycle, from selecting optimal models and tools for specific tasks and ensuring data quality to employing rigorous training methodologies to enhance model performance.
How does Ziel approach AI development?
Our process is deeply technical, involving data annotation, algorithm selection based on the specific use case, rigorous model training with high-quality data, and iterative model refinement for peak performance. We’ve been building, deploying and working with AI-based models since our inception in 2016 to solve all kinds of business problems for our customers.
Can Ziel integrate AI into existing applications?
Ziel specializes in embedding AI models into existing systems or creating new, bespoke applications designed around the AI model’s capabilities.