"CREASE helped us transition a research proof into a production-grade ML pipeline in under 3 months. Their approach to observability is industry-leading."
We design & build trustworthy AI products that scale businesses.
CREASE COMMUNICATIONS LIMITED is a boutique agency blending rigorous engineering with product strategy — from prototypes to production-grade systems supporting AI-first experiences.
Selected engagements
We partner with product teams to operationalize AI responsibly — measurable outcomes, reliable infrastructure, and human-centered design.
"They balanced clinical compliance and engineering velocity—delivering a model-backed offering with robust monitoring and privacy controls."
"Pragmatic, product-first team. Designed a personalization engine that increased conversion and lowered latency for peak traffic."
How we move from idea to impact
A compact, repeatable process tailored for responsible AI — strategy, build, and operational excellence.
Discovery & Strategy
Cross-functional workshops unearth opportunity, constraints, and measurable KPIs before engineering begins.
Prototype & Validate
Rapid prototypes validate feasibility and value; we iterate with real users to de-risk product decisions.
Scale & Operate
Production engineering, deployment pipelines, observability, and governance to support long-lived systems.
What we do
End-to-end product and engineering services for AI-first digital products.
ML system design
Architecture, data strategy, and production pipelines designed for reliability and observability.
Product strategy
Roadmaps, prioritisation, and validation to ensure every engineering dollar drives outcomes.
Secure infrastructure
Cloud-native platforms, deployments, and secret management for compliant production systems.
Human-centered UX
Interfaces and experiences that make complex AI behavior interpretable and useful to people.
Integration & APIs
Robust APIs, SDKs, and integration layers enabling reliable product ecosystems.
Governance & compliance
Policy design, documentation, and tooling for ethical, auditable AI deployments.
Start a conversation
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Frequently asked
Concise answers to common questions about our process and engagement model.