Success Story

Wake Up Technology

Singapore Wake Up Technology Pte. Ltd. (wakeup-ai.com) is a Singapore-based B2B AI platform that gives enterprises a one-stop solution for conversational workflows, customer service, and content production. Its products power AI customer service, agent control systems, and knowledge-base automation for clients across e-commerce, education, retail, and consumer electronics — including large e-commerce operators serving millions of end users.

As demand grew, Wake Up needed its conversational AI to reason more reliably across multi-turn support cases and to scale its knowledge base without sacrificing answer quality or data control. Elite Cloud, as an AWS partner and AI infrastructure integrator, was engaged to bring frontier-grade language models into Wake Up's stack on a managed, enterprise-grade footing.

Challenges Faced:
Multi-turn reasoning quality
Customer support threads often span many turns with shifting intent. Wake Up needed a model that could hold context and resolve complex cases without escalating to human agents.
Knowledge-base scale and accuracy
Serving enterprise clients meant indexing large, fast-changing document sets and returning grounded, citable answers — not generic responses.
Cost and latency at scale
With conversation volume climbing, Wake Up needed a model strategy that kept response times fast and per-conversation cost in check at peak load.
Elite Cloud x Claude Solutions
Multi-turn reasoning that holds context
Multi-turn reasoning that holds context
Claude sustains intent and context across long support threads, resolving complex cases that previously broke shifting-intent dialogues and forced human escalation.
Strong instruction-following and grounded answers
Strong instruction-following and grounded answers
Claude reliably stays on Wake Up's policies and answers from retrieved knowledge-base content rather than improvising — reducing hallucination on enterprise queries.
Agentic tool use
Agentic tool use
Claude drives Wake Up's agent control system through multi-step workflows — looking up records, calling internal tools, and completing tasks, not just replying.
Claude Sonnet
Claude Sonnet
For core customer-service and agent reasoning: multi-turn dialogue, intent resolution, and grounded responses against the knowledge base.
Claude Haiku
Claude Haiku
For high-frequency tasks such as intent classification and routing, keeping cost and response time low at volume.
Technical
implementation
Model routing
High-frequency messages are classified with Claude Haiku; complex, multi-turn cases are handed to Claude Sonnet for full reasoning.
Grounded answers.
Claude is paired with Wake Up's knowledge base, so responses draw on the customer's own content rather than generic output.
Agent loop
Claude drives multi-step tasks through Wake Up's agent system across turns until a case is resolved.
Wake Up Technology solution architecture
Results
Higher self-service resolution — more support cases handled end to end without escalating to a human agent.
Faster, more consistent responses — high-frequency queries answered quickly, while complex cases get full multi-turn reasoning.
Grounded, on-policy answers — responses draw on Wake Up's own knowledge base rather than generic output.
A fast path to production — Elite Cloud's managed deployment took the build live in weeks.
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