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.
We turned scattered institutional knowledge into an internal AI platform the whole team can search.
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.
Grape
PaaS + License
Client Infrastructure
In Production
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.
Documents · Procedures · FAQs · Historical cases · Internal guidelines · Client and project context
Institutional knowledge structured, indexed and retrievable in real time
StartujPlanetno onboarding agent · Knowledge Search Agent · Additional agents as needed
White-label platform deployed inside the client-controlled environment
What we built.
StartujPlanetno
StartujPlanetno is designed for new employees. It guides them through onboarding from the first day, giving them access to the organization’s accumulated knowledge in a conversational interface.
- Onboarding flow
- RAG-powered retrieval
- Internal-system support
- Real-time Q&A
- Procedural guidance
- Client and project context
Knowledge Search Agent
The Knowledge Search Agent is available to the wider team, not only new hires. Experienced employees can use it to find procedures, documents, historical decisions and internal context without manually searching through repositories.
- Full-team access
- Procedure lookup
- Shared RAG knowledge base
- Document search
- Historical context retrieval
- Knowledge expands over time
How organizational knowledge becomes an answer.
Documents, procedures, FAQs, historical cases and internal guidance are added to the platform.
The knowledge base makes that internal content searchable and retrievable by the agents.
A new hire or experienced team member uses the white-label interface to ask for guidance or context.
The system searches the shared knowledge base for the most relevant internal information.
The employee gets an explanation, procedural guidance or the relevant knowledge without manual searching.
New procedures and organizational learning can be added so future users can retrieve them as well.
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.
CEO
How we deployed it.
Identify what the organization already knows
Mapped the types of institutional knowledge the platform needed to hold: procedures, documents, internal guidance, historical context and onboarding information.
Deploy the white-label platform in the client environment
Set up the Growww AI platform so the system, storage and knowledge layer operate under client control.
Structure institutional knowledge for retrieval
Configured the shared RAG layer so agents could search and retrieve the organization’s internal content in real time.
Build onboarding and knowledge-search workflows
Developed StartujPlanetno and the Knowledge Search Agent around the same knowledge base and platform.
Put the platform into daily team use
The platform is in production, with the team continuously adding knowledge and using the agents to retrieve it.
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.
Want an internal AI knowledge platform for your team?
We build white-label knowledge systems that run on your infrastructure, turn internal documentation into a searchable RAG layer and give your team AI agents for onboarding and everyday knowledge retrieval.
