AI-Augmented Development
Build Software That Thinks
From custom LLM integrations to autonomous AI agents, we engineer intelligent systems that transform how your business operates.
AI is no longer a feature; it's an architectural layer. At Corelix, we embed advanced AI capabilities into the core of enterprise software, building systems that learn, reason, and act. Our AI engineering practice combines deep machine learning expertise with production-grade software craftsmanship.
Whether you're integrating large language models into customer workflows, building autonomous agents that handle complex business processes, or creating retrieval-augmented systems that turn unstructured data into actionable intelligence, our team delivers AI that ships and scales — with the evaluation harnesses, observability and guardrails that production demands.
Capabilities
What we deliver
LLM Integration & Orchestration
Production-ready integrations with OpenAI, Anthropic Claude, and open-source models. Custom prompt engineering, fine-tuning, and multi-model orchestration.
Custom AI Agents
Autonomous agents that handle complex multi-step workflows. From research assistants to operational copilots, built with reliability and observability in mind.
RAG Systems & Knowledge Bases
Retrieval-augmented generation systems that turn your documents, databases, and APIs into queryable AI knowledge layers using vector databases and semantic search.
AI-Powered Analytics
Predictive models, anomaly detection, and forecasting systems. From customer churn prediction to demand forecasting, built on solid statistical foundations.
Computer Vision Applications
Image classification, object detection, OCR, and document understanding systems. Real-time inference pipelines for production workloads.
AI Strategy & Readiness
Pre-engagement strategic consulting to identify high-value AI opportunities, assess data readiness, and design responsible AI governance frameworks.
Our approach
Our AI engineering methodology
Discovery & Use Case Validation
We start by deeply understanding your business context, identifying use cases where AI delivers measurable value and validating technical feasibility before committing to architecture.
Data Assessment & Architecture Design
We audit your data sources, design the AI architecture, and select appropriate models. This phase produces clear technical specifications and risk assessments.
Iterative Development & Evaluation
We build in tight iteration cycles with continuous evaluation. Every model deployment is measured against business metrics, not just accuracy scores.
Production Deployment & Monitoring
We deploy with proper observability, A/B testing infrastructure, and feedback loops. Models in production require ongoing care; we set you up for long-term success.
Technologies
Technologies we work with
LLM Providers
Frameworks
Vector Databases
ML Platforms
Infrastructure
Observability
Sample deliverables
What you receive
Every engagement concludes with concrete artefacts your team can act on. We hand over documentation, code, and capability — not just slides.
- AI architecture documentation and ADRs
- Production-ready model integrations and APIs
- Evaluation framework with task-specific benchmarks
- Monitoring and observability dashboards
- Cost optimisation analysis with token-spend modelling
- Knowledge transfer sessions and runbooks
Where we apply this
Where this service excels
Financial Services
Document understanding, risk analysis, fraud detection, and regulatory monitoring across banking and insurance.
Healthcare
Clinical decision support, medical record analysis, and claims processing aligned with privacy regulations.
E-commerce
Personalisation engines, intelligent search, customer support copilots, and dynamic merchandising.
Legal & Compliance
Contract analysis, regulatory monitoring, and discovery workflows that scale across thousands of documents.
Featured case study
HealthBridge AI Claims Engine
We built a production-grade AI system that processes complex healthcare claims end-to-end, integrating with legacy systems and clinical guidelines. The result transformed a 5-day manual process into near-instant straight-through processing with full auditability.
Read full case studyPricing
Engagement options
AI engagements typically begin at the Professional tier. For ongoing AI platform work we recommend the Enterprise Partnership.
Essentials AI Consultation
Strategic AI readiness assessment, use-case prioritisation and a written recommendation report.
Professional AI Engagement
Working prototype, evaluation harness, and production deployment plan delivered over 4–8 weeks.
Enterprise AI Partnership
Embedded senior AI team, ongoing platform development, and continuous optimisation.
FAQ
Common questions
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Cloud Architecture
Build the cloud platform that AI workloads require — GPU clusters, vector databases, low-latency APIs.
Digital Transformation
Embed AI into wider modernisation programmes for compounding business impact.
Technical Consulting
Independent AI strategy, vendor selection and architecture review by senior engineers.
Ready to discuss your AI engineering needs?
Ready to engineer your competitive edge?
Submit an inquiry through our contact form. We respond within 1 business day.