AI Solutions Design, Develop, and Deploy services
AI Solution Design Services (Strategy & Architecture)
AI Solution Develop Services (Model & System Building)
AI Solution Develop Services (Model & System Building)
Our scientist and engineers in Axcelia help our customers define what problem AI will solve and how, then build a strategy and architecture to achieve that.
Problem Definition
Identify business goals and success metrics
Understand data availability and constraints
Solution Architecture
Choose the AI/ML paradigm: supervised, unsupervised, reinforcement
Select model type: traditional ML, deep learning, LLMs, etc.
Design high-level system architecture (data pipeline, inference layer, APIs)
Tech Stack Decisions
Programming languages: Python, R, etc.
Frameworks: TensorFlow, PyTorch, OpenVino, Scikit-learn
Cloud vs On-prem vs Hybrid
ROI Study for AI solutions
Study the total cost of the AI solution, revenue, benefits, and ROI
AI Solution Develop Services (Model & System Building)
AI Solution Develop Services (Model & System Building)
AI Solution Develop Services (Model & System Building)
Using Axcelia AI platform and AI tools to build and train the AI model, integrate it into an application, add security, UI, and test, validate, debug, optimize, live retrain.
Data Engineering
Collect, clean, and preprocess data
Feature engineering and data augmentation
Integrate data sources, and interfaces
Add security features for data safety
Model Training & Evaluation
Using Axcelia AI tools, we train AI models on historical and live data
Cross-validation, hyperparameter tuning
Evaluate with accuracy, precision, recall, F1-score, etc.
System Development
Integrate the model into back-end systems
Build APIs or microservices for model inference
Add observability: logs, metrics, error tracking
AI Solution Deploy Services (Operationalize & Monitor)
AI Solution Develop Services (Model & System Building)
AI Solution Deploy Services (Operationalize & Monitor)
Axcelia will help you make the AI system available, scalable, and reliable to your customers, factories, cities, business, etc.
Deployment Options
Cloud platforms: AWS SageMaker, Azure ML, Google AI Platform.
Edge deployment: Axcelia Edge, and mini data centers in prem.
Interfaces: IoT devices, cameras, mobile, etc.)
CI/CD for ML (MLOps)
Automate training → validation → deployment
Use Axcelia AI platform and tools in addition to other partners AI tools if needed
Monitoring & Maintenance
Model drift detection and retraining pipelines
API health checks and response time tracking
User feedback loop integration
AI-as-a-Service (AIaaS)