Case Study
Internal Knowledge Platform + RAG + White-Label PaaS

Grape AI: a white-label knowledge platform running on the client’s own infrastructure.

We built an internal AI platform that turns institutional knowledge into a searchable, agent-powered system for onboarding and day-to-day work — while keeping the knowledge base and platform inside the client-controlled environment.

Grape AI Case Study

Grape had accumulated years of operational knowledge, procedures, documentation and client context, but that knowledge was spread across people and files. We deployed a white-label Growww AI platform on the client’s infrastructure, built a shared RAG knowledge base and created agents for onboarding and knowledge retrieval.

The knowledge existed. Access to it did not.

Grape had built up a substantial amount of institutional knowledge across experienced team members, internal procedures, documentation and years of operational practice. The problem was that this knowledge was not structured or available in one place.

New employees repeatedly had to ask senior colleagues the same questions, search for documents and reconstruct context that already existed somewhere inside the organization. That slowed onboarding and consumed the time of the people with the most experience.

The client also had a non-negotiable infrastructure requirement: its internal knowledge could not be placed on a generic third-party SaaS platform. The system had to run under the client’s brand and inside the client-controlled environment.

A white-label AI knowledge platform built around the client’s own data.

We deployed the Growww AI platform on Grape’s infrastructure and configured it as an internal, white-label knowledge system. The team can add documents, procedures, FAQs, historical cases and internal guidance into a shared RAG knowledge base.

AI agents then retrieve from that knowledge in real time. New employees use the onboarding agent to understand processes and navigate the organization, while experienced team members use the same knowledge layer to find procedures, documents and historical context without searching manually through folders or asking colleagues.

Knowledge Sources

Documents · Procedures · FAQs · Historical cases · Internal guidelines · Client and project context

RAG Layer

Institutional knowledge structured, indexed and retrievable in real time

Agent Layer

StartujPlanetno onboarding agent · Knowledge Search Agent · Additional agents as needed

Infrastructure

White-label platform deployed inside the client-controlled environment

Not an external chatbot. An internal knowledge system under the client’s brand and control.

The value is not simply that employees can chat with AI. The platform converts organizational knowledge into an operational layer that can support onboarding, internal search and day-to-day decision-making.

The licensing model is also different from per-user SaaS. According to the source brief, the client pays for the platform license and AI-token usage, while the internal team can use the platform without individual user subscriptions.

The PaaS deployment model is central to the case study. The source states that the platform and RAG knowledge base operate within the client’s environment, so internal procedures, documents and organizational knowledge remain under client control rather than being stored in a separate generic SaaS knowledge platform.

Working with Growww gave us a platform that truly understands our business. Our team can now access company knowledge, get instant answers and use specialized AI agents in one secure, easy-to-use system.

Grape Devel AI

CEO

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