AI ML Development Services
Artificial intelligence is no longer a competitive advantage, it is a competitive necessity. Companies using AI grow three times faster than those not using AI.
SeaNeB provides production-ready AI and ML solutions such as NLP, computer vision, predictive analytics and LLM integrations for businesses.
Our AI & ML Services
Custom Machine Learning Models
We develop, train and deploy custom ML models for classification, regression, clustering and forecasting tailored to your industry data.
Natural Language Processing (NLP)
Sentiment analysis, document classification, entity extraction, chatbots, intelligent search using transformer models and fine-tuned LLMs.
Computer Vision
Image recognition, object detection, quality inspection, OCR. We create computer vision pipelines for manufacturing, retail, healthcare and logistics.
Predictive Analytics
Demand forecasting, churn prediction, fraud detection and risk modelling that turns your historical data into forward-looking business intelligence.
LLM Integration & RAG Systems
We embed the power of GPT-4, Claude, Llama 2 and other LLMs into your apps using Retrieval-Augmented Generation (RAG) architectures so that your AI works on your data, not just generic training.
MLOps & AI Infrastructure
Model deployment pipelines, monitoring, retraining automation and scalable AI infrastructure on AWS, Azure, GCP.
Our AI ML Development Service Process
Dedicated to performance, strategy, and innovation, SeaNeB is a global provider of technology solutions.
Problem Definition
Clearly define the business problem and expected outcomes.
Data Collection
Gather relevant, high-quality data from various sources.
Data Preprocessing
Clean, structure, and prepare data for model training.
Exploratory Data Analysis (EDA)
Analyze data patterns, trends, and relationships.
Feature Engineering
Create and select meaningful features to improve model performance.
Model Selection & Training
Choose suitable algorithms and train the model on data.
Model Evaluation
Test model performance using metrics to ensure accuracy and reliability.
Deployment & Monitoring
Deploy the model in production and continuously monitor/improve it.
Problem Definition
Clearly define the business problem and expected outcomes.
Data Collection
Gather relevant, high-quality data from various sources.
Data Preprocessing
Clean, structure, and prepare data for model training.
Exploratory Data Analysis (EDA)
Analyze data patterns, trends, and relationships.
Feature Engineering
Create and select meaningful features to improve model performance.
Model Selection & Training
Choose suitable algorithms and train the model on data.
Model Evaluation
Test model performance using metrics to ensure accuracy and reliability.
Deployment & Monitoring
Deploy the model in production and continuously monitor/improve it.
Our Tech Stack
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Why Choose
SeaNeB for AI ML Development Services?
- Business-Focused AI Solutions
- End-to-End Implementation
- Custom & Scalable Models
- Advanced Tech Stack & Expertise
- Continuous Optimization & Support
Frequently Asked Questions
Dedicated to performance, strategy, and innovation, SeaNeB is a global provider of technology solutions.
We offer custom ML model development, NLP, computer vision, predictive analytics, LLM integrations, and full MLOps pipelines for US businesses.
Proof-of-concept projects take 4 - 8 weeks. Full production AI systems typically take 3–6 months depending on data readiness and complexity.
Not always. We specialize in small-data techniques including transfer learning and few-shot learning, making AI accessible even to mid-sized businesses.
We use rigorous validation frameworks, cross-validation, A/B testing, and continuous monitoring to ensure model performance in production.
Yes. We provide API-first AI integrations that plug into your existing CRMs, ERPs, mobile apps, and web platforms.
Contact Us
SeaNeB is an AI and machine learning development company catering to businesses in the USA and UK. The company specialises in NLP, computer vision, predictive analytics, LLM integrations using GPT-4 and Claude, and end-to-end MLOps pipelines on AWS, Azure and GCP, helping enterprises unlock measurable value from their data.