No-Code White-Label Chatbot Platform (PaaS)
What it is
A platform where businesses, agencies, and creators can launch their own branded AI chatbot product with deep control over knowledge, behavior, and UI - without coding.
This is not "just a widget." It is a complete hosted product + admin panel + deployment system.
What it solves
Most chatbot solutions fail because they are:
- Not truly brandable - you still feel it's someone else's tool
- Shallow in customization - you can't control how it behaves reliably
- Weak in knowledge - answers are generic or hallucinated
- Not built for real workflows - no actions, no structured flows, no analytics
This platform solves: ownership + customization + private knowledge + real productization.
How it works
1. Create a bot workspace
- User creates a new bot, selects a base style/personality, and sets business purpose (support, sales, internal ops, etc.)
- User chooses interaction mode: fast answers vs deep reasoning mode
2. Add private knowledge
- Upload documents / paste links / connect sources
- The platform turns that into a structured knowledge base
- User can organize knowledge into "collections" (ex: policies vs product docs vs contracts)
3. Choose how the bot should retrieve and answer
User chooses a retrieval approach:
- Standard knowledge lookup (simple Q&A)
- "Deep research" mode (more thorough, multi-step)
- Advanced: hybrid retrieval methods (vector + graph-style connections) for better accuracy
4. Customize behavior and guardrails
- Define what it can and cannot do
- Define escalation rules (when to say "I don't know" or "contact support")
- Define tone and strictness
5. Customize UI + deploy
- Fully white-labeled frontend (theme, logo, domain)
- Embed on website or deploy as a standalone hosted chatbot page
- Shareable link for clients/users
6. Operate and improve
- Analytics show what users ask, what fails, and what converts
- User improves knowledge and behavior without redeploying code
Key features
White-labeling + branding
- Full theme control (colors, typography, layout feel)
- Logo, name, domain mapping / CNAME support
- Client-ready dashboards for agencies managing multiple bots
Knowledge + "RAG-style" answers
- Knowledge ingestion from uploads and links
- Multiple knowledge bases per bot
- "Citations mode" so answers can show where they came from
- Control what sources are allowed for answering
Agentic workflows
- The bot can run structured workflows (multi-step tasks) instead of only talking
- "Quick actions" and guided flows to reduce user prompting
UI element responses
- Bot can respond with interactive UI elements (buttons, options, forms, cards)
- Turns chat into an app-like experience, not a text box
Multi-model choice
- Option to connect multiple model providers and choose per bot or per task
- Helps with cost control and performance tuning
Operational controls
- Versioning (draft vs published behavior)
- Change history and rollbacks
- Built-in feedback loops (thumbs up/down, "wrong answer" flag)
Monetization readiness
- Subscription plans (Starter / Pro / Enterprise)
- Usage-based pricing (message credits, knowledge size, etc.)
- Optional marketplace later (templates and workflows)
Primary audiences
- Agencies building chatbots for many clients
- Professional services (law/accounting/HR)
- SaaS companies adding an AI assistant without rebuilding their stack
- Universities/training portals with controlled knowledge
Differentiator
Most platforms do either: "no-code chatbot" OR "RAG pipelines" OR "white-label UI"
This platform combines: white-label product + advanced knowledge retrieval + agentic workflows + UI elements in one system.
