We help businesses build reliable data platforms, automate workflows and deploy production-ready AI solutions that solve real operational challenges into flow designes.
Average client results through our AI solutions
Across 15 different industries worldwide
For all our managed services and solutions
Comprehensive AI and IT solutions designed to propel your business forward
Build predictive models, intelligent automation and computer vision applications for real business use cases.
Explore AI solutions
Modernize infrastructure, plan cloud adoption and improve the reliability of business systems.
Explore IT consulting
Turn fragmented data into dashboards, reporting and insights that support better decisions.
Explore analytics
Develop AI assistants, retrieval-augmented generation applications and workflow automation.
Explore Generative AI
Create dependable data pipelines, cloud data platforms and architectures that support analytics and AI.
Explore data engineering
Deploy, monitor and maintain machine learning models with reproducible, scalable workflows.
Explore MLOpsWe listen carefully, build with you at every milestone, prepare your team to take ownership and keep improving based on real use.
Understand your goals, workflows, data, systems and constraints.
Agree on architecture, scope, milestones and measures of success.
Develop and validate in visible milestones, shaped by your feedback.
Integrate, document and prepare your team to adopt the solution.
Monitor performance, resolve issues and improve from actual usage.
Real impact, real results — here’s what our clients say about working with us.
Neomlytics helped us move from concept to a production-ready AI solution faster than expected. Their ability to translate business needs into scalable tech made a real impact.
CEO, TechInvent Global
Neomlytics strengthened both our learning outcomes and operations. Their CRM-driven insights and curriculum support improved efficiency across the board.
CEO, SkillEnable
Neomlytics built a centralized academic system for tracking attendance, performance, and institutional data — improving visibility and decision-making.
Founder & Chairman, DCTM College
Discover how Neomlytics applies AI, machine learning and data engineering to solve complex business challenges and deliver measurable outcomes.
Clients
Across industries
Projects Delivered
From concept to deployment
Client Retention
Long-term partnerships
System Uptime
Reported availability
A financial institution faced fraudulent transactions and time-consuming manual reviews, increasing operational workload and financial risk.
Developed an AI-powered detection system using transaction patterns, historical data and machine learning to identify suspicious activity and support faster investigations.
Reported Results
Fraud reduction
Faster investigations
Healthcare professionals needed efficient access to medical information and support for reviewing complex imaging and patient records.
Designed an AI-assisted platform to analyze medical images, retrieve relevant patient information and provide summarized insights for clinician review.
Reported Results
Improvement in diagnostic accuracy
Information review
A retail business struggled with inaccurate demand forecasts, excess inventory and stockouts, resulting in increased operating costs and inefficient replenishment.
Built a machine learning forecasting system using historical sales, seasonality and relevant operational data to support inventory planning and replenishment.
Reported Results
Reduction in inventory costs
Forecast accuracy improvement
A direct-to-consumer brand needed a better understanding of customer behavior to improve audience targeting, engagement and marketing campaign performance.
Developed data-driven customer segments using transactional and behavioral data, enabling more relevant targeting and personalized marketing campaigns.
Reported Results
Campaign ROI improvement
Audience targeting
Data Platforms
Business data lived across disconnected systems, slowing reporting and making trusted insights difficult to access.
Built cloud pipelines and a centralized data platform to bring key sources together for analytics teams.
Business Impact
Trusted data access
For analytics and AI
MLOps
A team needed a repeatable way to move machine learning models from experiments into production.
Introduced automated deployment, model monitoring and versioned workflows across the ML lifecycle.
Business Impact
Model releases
Production performance
Explore how we’ve delivered real impact across industries
View All Case Studies
AWS
Azure
Python
TensorFlow
React
Node.js
PyTorch
Scikit-Learn
Apache Spark
Airflow
PostgreSQL
MongoDB
Docker
Kubernetes
Git
Terraform
FastAPI
Jupyter
Google Analytics
Search Console
Google Ads
Semrush
JavaScript
TypeScript
Next.js
WordPress
Schedule a consultation with our experts to discuss how we can help you leverage AI and IT solutions.
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