AI Solutions
AI Solutions – Smarter Technology, Better Results
Artificial Intelligence is transforming operational workflows, decision-making, and customer engagement across industries.
At RUVINSYS GLOBAL SOLUTIONS, we deliver full-lifecycle AI development services, combining machine learning engineering, data science, and MLOps best practices to ensure your AI initiatives are production-ready, cost-efficient, and future-proof.
AI Strategy & Technical Feasibility Analysis
- Perform use case discovery with ROI projections.
Conduct data audit for availability, quality, and suitability for training.
- Select appropriate model architectures (transformers, CNNs, RNNs, GNNs, etc.) based on problem type.
- Technology stack recommendation (TensorFlow, PyTorch, Hugging Face, LangChain, etc.).
Machine Learning & Deep Learning Model Development
- Supervised, Unsupervised, and Reinforcement Learning models.
- Computer Vision: Object detection (YOLO, Faster R-CNN), semantic segmentation (U-Net, DeepLab), facial recognition pipelines.
- Natural Language Processing: Named Entity Recognition (NER), text classification, large language model (LLM) fine-tuning, embeddings for semantic search.
- Predictive analytics and forecasting with time-series models (ARIMA, Prophet, LSTMs).
Data Engineering & Feature Store Managemen
- ETL pipelines with Apache Airflow, Prefect, or AWS Glue.
- Real-time data ingestion with Apache Kafka or AWS Kinesis.
- Feature store implementation (Feast, Tecton) for consistent model training and inference
- Data versioning using DVC or MLflow.
MLOps & Deployment
- CI/CD for ML pipelines (GitHub Actions, GitLab CI, Jenkins).
- Model containerization with Docker and orchestration with Kubernetes.
- Cloud deployment: AWS Sagemaker, Azure Machine Learning, Google Vertex AI.
- Monitoring drift and performance using Prometheus, Grafana, Evidently AI.
AI Integration & API Development
- REST and GraphQL APIs for AI model consumption.
- Integration with enterprise applications (Salesforce, SAP, ServiceNow).
- AI Agents powered by LangChain, LlamaIndex, or RAG (Retrieval Augmented Generation) pipelines.
Model Maintenance & Continuous Improvement
- Periodic retraining with updated datasets.
- Hyperparameter tuning with Optuna or Ray Tune.
- Automated retraining triggers based on performance thresholds.
Why Partner With Us
- Full-Stack AI Expertise: From raw data to production deployment.
- Scalable Architectures: Optimized for both cloud and hybrid environments.
- Security Compliance: GDPR, HIPAA, SOC 2, and ISO 27001 adherence.
Performance Optimization: Low-latency inference, quantization, and model compression for cost efficiency
Industries We Serve
Healthcare
Custom medical software, telemedicine apps, and patient management systems.
Finance & Banking
Secure fintech solutions, mobile banking apps, and payment gateways.
Retail & E-commerce
Scalable e-commerce platforms, inventory management, and CRM systems.
Education & E-learning
Learning management systems (LMS), virtual classrooms, and training portals.
Logistics & Transportation
Fleet management, route optimization, and real-time tracking systems.
Our AI Solution Process
Requirements Gathering & Data Feasibility
We gather requirements and validate data to ensure precise, effective solutions.
Data Engineering & Preprocessing
We prepare and refine data to ensure accuracy, quality, and readiness
Model Design & Prototyping
We design and prototype models to validate concepts and deliver efficient, scalable solutions.
Model Training, Validation & Optimization
We train, validate, and optimize models for high accuracy and reliable performance.
Deployment via MLOps Pipelines
We deploy models seamlessly using MLOps pipelines for scalability.
Monitoring, Retraining, and Scaling
We monitor, retrain, and scale models to ensure sustained accuracy and performance.
