GLUCOSE is a fully Autonomous Customer Engagement Agentic AI platform that      transforms how consumers interact with both conventional and smart products, from home appliances to connected vehicles. The goal is simple and practical: make it as easy as possible for any captive customers to get to get the best brand and product experiences anytime, anywhere, without searching manuals, sitting on hold with a call center, or installing yet another app.      

Beyond answering questions, GLUCOSE Agentic AI orchestrates end-to-end brand and product experiences, helping users discover features, troubleshoot issues, complete tasks, and make informed decisions—autonomously, at scale, 24/7.

Klika Tech worked as the design and implementation partner to build GLUCOSE with 5.Y. The platform connects to popular messaging channels such as WhatsApp, iMessage, Instagram and Facebook Messenger so that users can get support in the channels they already use every day; no install, no sign-up. A customer can take a photo of an appliance or vehicle dashboard, describe the issue naturally, and the Agentic naturally identifies the product, configuration, and identifies the context and intent. From there, GLUCOSE either provides the right answer immediately or performs the next best action on behalf of the user.

At the core is an Agentic AI architecture. GLUCOSE is powered by a proprietary framework of AI Experience Agents, called Journeys, each configured with goals, instructions, tools and brand-specific rules. It does more than generate text responses, it autonomously orchestrates multiple AI Experience Agents to reason, adapt, and guide users through non-linear, multi-step tasks. It coordinates a set of tools and back-end systems. It can look up product specific documentation, query configuration and telemetric data for smart devices, guide users through troubleshooting flows, and when necessary, create or enrich support tickets in existing CRM systems. The agent autonomously decides when to ask clarifying questions, when to escalate, and when to trigger a workflow.

A key part of the innovation is how GLUCOSE uses existing content. Most manufacturers already have large volumes of manuals, quick start guides, FAQs, troubleshooting instructions and sales materials. Historically that information has been difficult for customers and call center agents to navigate in real time. GLUCOSE ingests and indexes this content into a unified Corpus, then uses Retrieval Augmented Generation so the AI is grounded in product specific knowledge instead of generic responses. That enables each AI Experience Agent to deliver accurate, predictable, and brand-aligned guidance and makes the platform production-ready for real consumers.    

The platform is multimodal from the ground up. Users can interact with GLUCOSE using text, voice and images. For example, a user can send a photo of a product label and have the system automatically recognize the model and region-specific configuration. They can then ask, “Why is my unit flashing this red light” and receive a fully contextual response that is tailored to their exact device and firmware, not just a generic model family. From a business perspective, GLUCOSE is designed to fit into existing support operations. It does not replace customer care teams. It makes them more efficient. The platform handles the most common “how do I” and “what does this error mean” requests and passes only complex or sensitive cases to human agents with full context already assembled. This reduces call volume, shortens handling time and improves the overall user experience without requiring a full rip and replace of existing systems.

The architecture is cloud native , single-tenant, model-agnostic, and built to scale across brands, product lines and regions. New product experiences can be onboarded and configured by adding their content and configuration data. The same core Agentic AI framework can then support them without rewriting the solution or requiring back-end upgrades. This makes GLUCOSE attractive as a reusable platform for manufacturers who want to modernize support across entire portfolios, not just a single product.

In short, GLUCOSE demonstrates how Agentic and multimodal AI can be applied in a very practical way to solve a real problem that affects both consumers and manufacturers. It is not a lab experiment or a chatbot in isolation. It is a fully operational autonomous customer engagement platform that connects real users, real products and real back-end systems to deliver better product experiences at scale.

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