Our Offerings

Before investing in AI, understand where you stand. Our AI Readiness Audit gives you a clear picture of your current data maturity, infrastructure gaps, and highest-value AI opportunities — with a prioritised roadmap and executive brief.

• Data infrastructure assessment report AI opportunity mapping (prioritised by ROI) Technical readiness scorecard Executive strategy brief (10-15 pages) 30-day implementation roadmap 1-hour debrief and Q&A session

Skip the research phase and get a working ML model deployed in production within 4-6 weeks. We handle data prep, model selection, training, evaluation, and deployment — handing you a solution that works and code you own.

• Data exploration and preprocessing pipeline Trained and evaluated ML model (your choice of cloud) Model API endpoint (REST or batch) Performance dashboard and monitoring setup Full documentation and handover session 30-day post-launch support

Whether you need a document Q&A system, intelligent assistant, content generation tool, or AI-powered search — we integrate LLMs into your existing product. We handle prompt engineering, RAG architecture, evaluation, and production deployment.

• LLM integration design and architecture review Prompt engineering and evaluation suite RAG pipeline (if applicable) with vector database Production API with rate limiting and cost controls Evaluation metrics and quality monitoring Full source code and technical documentation

Your AI ambitions start with your data. In 6 weeks, we design and build a cloud-native data platform that connects your sources, cleans and transforms your data, and makes it available for analytics and ML. Built to scale with your …

• Data source inventory and architecture design ELT pipelines (dbt + Airflow or equivalent) Centralised data warehouse or lakehouse Data quality framework and monitoring Self-serve analytics layer (dashboards) Runbook and operational documentation