digital systems for real-world applications
AI, ML, Cloud & Digital Solutions
Infiquity delivers AI, machine learning, cloud, and digital engineering solutions that help organisations build intelligent systems, modernise platforms, and extract value from data. Our focus is on practical implementation, scalable architectures, and engineering-led execution—not experimental prototypes.
We work across industries including automotive, industrial, enterprise, and connected systems.
Our AI, Cloud & Digital Capabilities
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Artificial Intelligence & Machine Learning
Design and deployment of ML models for prediction, classification, anomaly detection, computer vision, and data-driven decision systems.
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Model development and evaluation
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Feature engineering and data pipelines
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Edge AI and inference optimisation
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Model integration into applications
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Performance monitoring and tuning
2
Data Engineering & Data Labeling
Reliable data pipelines and high-quality datasets that form the foundation for AI systems.
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Data ingestion, cleaning, and transformation
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Structured and unstructured data labeling
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Annotation workflows and quality checks
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Dataset preparation for training and validation
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Cloud Engineering & DevOps
Design and implementation of secure, scalable cloud-native systems.
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Cloud architecture design
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Backend services and APIs
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CI/CD pipelines and automation
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Infrastructure as code
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Monitoring and reliability engineering
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Application Development
End-to-end development of robust, user-focused digital applications.
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Web and backend application development
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API and microservices design
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System integration and middleware
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Performance and scalability optimisation
5
Digital Platforms & System Integration
Integration of AI, cloud, and applications into cohesive digital platforms.
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AI-to-cloud integration
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Device-to-cloud data pipelines
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Dashboarding and analytics platforms
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Enterprise system integration
IQ AI/ML, Cloud & Digital Services
Engineering & Validation CAPABILITIES
1. Data Processing & Intelligence Enablement
Transform raw data into actionable insights through structured processing, analytics, and intelligence layers.
2. AI Model Integration & Inference Systems
Seamless integration of trained models into applications, services, and edge environments for real-time and batch inference.
3. Cloud Platforms & Backend Services
Development of resilient backend platforms supporting APIs, services, workflows, and distributed applications.
4. Digital Application Enablement
Design and integration of digital applications that consume data, intelligence, and cloud services reliably.
5. Observability, Monitoring & Optimisation
System visibility through logging, metrics, performance monitoring, and continuous optimisation.
6. Deployment, Operations & Lifecycle Support
Production rollout, version management, operational support, and lifecycle maintenance for digital systems.
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Improved design reliability
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Faster compliance readiness
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Smoother transition to production
Coverage Areas
End-to-end coverage across data, intelligence, platforms, and operations.
Data Acquisition & Pipelines
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Design and implementation of reliable data ingestion, streaming, transformation, and storage pipelines supporting real-time and batch workloads.
Model Development & Lifecycle Management
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Machine learning model development, validation, deployment, monitoring, and lifecycle management for production-grade AI systems.
Cloud-Native Architecture & Platforms
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Scalable cloud architectures including backend services, APIs, microservices, and distributed systems built for reliability and growth.
Edge AI & Intelligent Systems
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Deployment of AI models on edge and embedded platforms with optimisation for performance, latency, and resource constraints.
Security, Reliability & Scalability
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Secure system design with access control, monitoring, fault tolerance, and performance optimisation across digital platforms.
System Integration & Operations
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End-to-end integration of AI, cloud, applications, and devices with CI/CD pipelines, observability, and operational support.
TECHNOLOGIES & PLATFORMS
AI / ML:
Python, TensorFlow, PyTorch, scikit-learn, OpenCV
Cloud & DevOps:
AWS, Azure, Docker, Kubernetes, Terraform, CI/CD pipelines
Data & Analytics:
SQL/NoSQL databases, data lakes, streaming platforms, dashboards
Application Stack:
REST APIs, microservices, backend frameworks, modern web stacks
ENGAGEMENT MODELS
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Proof-of-concept to production deployments
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AI/ML model development and integration
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Cloud platform build and migration
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Dedicated engineering teams
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Long-term platform support and optimisation
Sample Test Scenarios
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Predictive analytics and anomaly detection systems
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AI-assisted quality inspection and monitoring
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Cloud platforms for connected devices and data aggregation
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Edge AI deployment for real-time decision-making
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Enterprise dashboards and analytics platforms
Why Choose Us?
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Engineering-first approach to AI and cloud systems
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Strong focus on scalable, production-ready solutions
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Experience integrating AI with embedded and digital platforms
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Practical understanding of data, infrastructure, and deployment
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Flexible engagement models aligned to real project needs
Let’s Build the Future Together
Whether you’re developing an automotive platform, designing new electronics, or scaling digital systems — INFIQUITY brings the expertise to move faster.
