Building AI is one thing—engineering it to be reliable, secure, and scalable is another. At USPC, we deliver production-grade AI engineering to help you move from prototype to enterprise-ready solutions.
Our focus: robust pipelines, operational efficiency, and measurable performance.
Full lifecycle pipelines for training, tuning, deploying, and monitoring language and machine learning models with CI/CD, version control, and rollback capabilities.
Hardening AI systems with security, latency optimisation, monitoring, failover, and data validation to ensure reliability in live enterprise environments.
Design of scalable, cloud-native AI architectures integrating models, vector stores, APIs, and business systems across Azure, AWS, GCP, and hybrid deployments.
Integration of AI services into existing workflows and platforms (ERP, CRM, intranet, support systems) using secure, well-documented APIs and SDKs.
Benchmarking large language models for accuracy, hallucination rate, response quality, and cost efficiency using real-world prompts and task simulations.
Governance of GenAI applications including prompt design, output validation, usage monitoring, and ongoing model fine-tuning for domain performance.
Empower your brand with AI transformation, with effective big data analytics, protected by first class actionable cyber security.
We help you achieve and maintain ISO 27001 compliance to benchmark your ISMS with security best practice
Built AI transformation programmes with AI governance operating models aligned with ISO 42001 and EU AI Act
We help you achieve Data-as-a-Product transformation using data mesh and data fabric architecture and unlock insights with Ai-driven data analytics