Our clients from diverse background
Our AI Services
Transform Your Brand with Proven AI Technology!
By integrating AI into traditional consulting services, we provide efficiency gains and showcase an innovative blend of human expertise with machine intelligence.
AI Consultation & Strategy
We accompany companies from strategy to operations and adoption. We leverage all types of data across organizations to accelerate their transformation and create value. Our hackathons, GenAI Academy and School of Data help companies educate and train their teams.
Machine Learning & Data Analysis
We create a foundation for effective data governance and management through a framework that drives value and compliance. Our data analytics and BI tools help enterprises work smarter and drive better results. We also combine data and environmental transformations for greater impact.
Data Engineering & Automation
Industry-specific solutions: By creating customised applications built by our Industry subject-matter experts. Working together between marketing specialists with data scientists and data analysts, we manage campaigns and marketing objectives using advanced cross-channel mechanisms.
OUR STORY
Predictive Maintenance for ship building
Predictive maintenance in shipbuilding leverages advanced data analytics and AI to anticipate equipment failures before they occur, reducing downtime and enhancing vessel safety. By continuously monitoring machinery performance and integrating digital tools such as sensors and digital twins, shipbuilders and marine engineers can optimize vessel operations, extend the lifespan of critical components, and lower maintenance costs.
- Easy to integrate with any existing platform!
- Proven method with reputed ship builders & management
- Find out why equipment failures and ways to prevent it
Services
Tailored Services Designed to Fit Your Business Needs
EigenAI offers services across the entire Artificial Intelligence lifecycle, from initial strategy and data preparation to model deployment and governance.
AI Strategy and Advisory
AI Roadmapping: Identifying high-impact use cases, prioritizing projects based on business value (ROI), and defining a long-term AI adoption plan.
Data Annotation and Labeling: Providing services to accurately label and categorize large datasets, which is critical for training supervised learning models.
Ethical AI Governance: Establishing frameworks and guidelines for responsible AI development, ensuring models are compliant, fair, and transparent.
Data Engineering and Preparation
Data Pipeline Construction (ETL/ELT): Building robust, scalable pipelines to consolidate, clean, and transform disparate data sources into machine learning-ready formats.
Data Annotation and Labeling: Providing services to accurately label and categorize large datasets, which is critical for training supervised learning models.
Cloud Infrastructure Setup: Designing and implementing cloud environments (AWS, Azure, GCP) optimized for machine learning training and inference workloads.
Machine Learning Model Development
Computer Vision (CV): Developing models for image recognition, object detection, facial recognition, and video analytics (e.g., quality control in manufacturing).
Natural Language Processing (NLP) / Generative AI: Creating solutions for text classification, sentiment analysis, custom chatbots, automated content generation, and document summarization.
Predictive Analytics: Building models to forecast key business metrics, such as demand forecasting, customer churn prediction, and predictive maintenance.
Deployment and MLOps
MLOps (Machine Learning Operations): Implementing automated CI/CD pipelines for models, ensuring continuous training, testing, and deployment into production environments.
Model Monitoring: Setting up systems to monitor model performance drift, data drift, and bias in real-time to ensure accuracy and reliability post-deployment.
Integration: Integrating developed AI models with existing core enterprise systems (ERP, CRM) via scalable APIs to ensure seamless business adoption.
AI Training and Change Management
Workforce Upskilling: Developing customized training modules for internal teams (data scientists, engineers, and business users) to build internal AI literacy and operational capability.
Organizational Change Strategy: Planning and executing change management strategies to ensure smooth adoption of new AI-driven workflows and tools across the organization.
Center of Excellence (CoE) Setup: Assisting clients in establishing internal AI leadership structures, best practices, and governance bodies to scale AI deployment independently.
Managed Services and Continuous Improvement
24/7 Model Support: Providing ongoing, dedicated technical support and incident response for production models, ensuring maximum uptime and reliability.
Model Retraining and Fine-Tuning: Continuously retraining models using fresh data to combat model decay and maintain prediction accuracy over time as business and environmental data shifts.
Feature Engineering & Optimization: Identifying and implementing new data features or algorithmic improvements to continually boost model performance and extract further business value from deployed systems.
Portfolio
Explore Our
Project Highlights
We have done multiple AI projects in different domains like ship building, predictive maintenance, AI agents, logistics solutions, AI automation process for freight forwarding and eCommerce customer churn predictions.
SUPPLY CHAIN
ECOMMERCE
SHIP BUILDINg
ECommerce
ECOMMERCE
RELOCATION
Portfolio Title
Portfolio Title
How we work
Our Structured Process to Achieve Your Goals
01
Initial Consultation
The initial consultation process is a structured, low-risk discovery phase designed to bridge the gap between business challenges and technical solutions. It begins with Problem Definition and Value Mapping…
02
Strategy Development & Implementation
A comprehensive partner for the entire Artificial Intelligence lifecycle. We bridge the gap between ambition and automation, delivering measurable ROI through data engineering, model development, and managed services.
03
Reviews & Finalization
The success of an entire AI project is measured not just by the initial deployment, but by its sustained, measurable business impact.
Pricing & Plans
Affordable Options, Great Value!
Engage our AI consultation services to improve your business process,
Standard
Identifying high-impact use cases and defining long-term adoption plans.
$400
/Month
- Feasibility Assessments:
- AI Roadmapping
- Workforce Upskilling
- AI Chatbot Integration
- Organizational Change Strategy
Professional
Standard features with real time AI implementation for your use cases
$1490
/Month
- Data Pipeline Construction
- Data Annotation and Labeling
- Cloud Infrastructure Setup
- Integration with any platform
- AI Process Automation
Business
Intuitive, world-class support tools for growing teams and agency
$2490
/Month
- Live Chat for support
- Ticketing Workflows
- Service Level Agreement Rules
- Role Based Permissions
- Outcome Reporting
TESTIMONIALS
Hear From the Happy Clients Who Trust Us!
The EigenAI solution addressed a key and relevant need for Growsari, combining a mature churn/retention model with easy no-code drag and drop user experience that lets our customer teams tweak and rerun the models as and when needed for different user cohorts, and with different data points. We gained a deeper understanding of the attributes that provide predictive signals to churn, helping us target our interventions more sharply at the right customers.
CTO, Growsari
BLOGS
Explore Our
Latest Articles
Stay ahead of the curve with our latest insights into the evolving landscape of AI and machine learning.
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Case Study: Boosting Sales Efficiency for APAC Relocations with Predictive Lead Scoring
The Challenge: Finding the “Signal” in the Noise In the competitive world of international relocation, volume is high but conversion windows…
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Case Study: Empowering Shopify Merchants with Predictive Analytics and Conversational Intelligence
The Challenge: Data Rich, Insight Poor Shopify store owners sit on a goldmine of data—transaction histories, inventory levels, and customer behaviors.…
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Case Study: Driving High-Value Conversions for Southeast Asia’s Leading D2C Furniture Platform
The Challenge: Navigating the “Long Cycle” of Luxury Retail In the e-commerce furniture industry, customer behavior is unique. Unlike grocery or…
Contact Us
Have Questions? Get in Touch!
32 Pekin St,
#05-01, Singapore 048762
+65 96343448
info@eigenai.co
FAQ
Frequently Asked Question?
Your AI journey, simplified. Find clear answers to common questions about our strategy, training, and data engineering solutions.
We don’t have an AI strategy yet—where do we start?
We accompany you from the very beginning. Through our AI Consultation & Strategy phase, we help you identify high-value use cases, assess your data readiness, and create a roadmap that moves from initial theory to full-scale operations.
How do you handle data governance and compliance?
We build a custom framework for every project that prioritizes both value and compliance. Our data management strategies are designed to meet industry standards while ensuring your data remains a secure and accessible asset.
How does your data engineering benefit our marketing department?
We bridge the gap between marketing specialists and data analysts. Our team builds cross-channel mechanisms that allow you to manage complex campaigns and objectives using real-time data insights and automation.
Ready To Build Your
AI-Powered Future?
Join forces with our experts to integrate AI and optimize your data architecture.