Corthex / Product
White-label AI chatbots that feel like your product, not a vendor skin.
Corthex lets teams create branded AI assistants with separate names, icons, tone, language, widget styling, knowledge sources, usage controls, and escalation workflows.
01
Source
02
Answer
03
Handoff
04
Improve
Page focus
White Label Ai Chatbot
white-label AI chatbot
Direct answer
white-label AI chatbot
Grounded AI support with source control, widget deployment, and staff fallback.
Corthex lets teams create branded AI assistants with separate names, icons, tone, language, widget styling, knowledge sources, usage controls, and escalation workflows.
Written for agencies, saas teams, multi-brand operators, and support teams that need branded assistants. Search intent: Evaluate a white-label AI chatbot platform.
Deploy multiple branded assistants from one platform.
Keep visual styling separate per bot or customer.
Use source-grounded answers instead of generic chatbot copy.
Offer human escalation without switching tools.
Citable facts
Concrete signals without the noise.
Short facts make the page easier to scan for buyers, operators, and search systems.
Branding
Per-bot names, icons, colors, language, and tone
Deployment
Website widget, storefront connector, and API
Trust
RAG grounding, citations, and human fallback
Best fit
Multi-brand support, agencies, and B2B SaaS teams
Workflow
From source coverage to controlled customer answers.
The Corthex operating loop stays consistent, while the emphasis changes by page intent and audience.
Step 1
01Connect the knowledge that should ground the answer
Corthex indexes files, URLs, product context, and operational policies so the assistant has a controlled evidence layer before it ever speaks to a visitor.
- Upload documents, paste text, or import URLs.
- Chunk and embed content for vector retrieval.
- Keep source names available for answer citations.
Step 2
02Answer with retrieval, page context, and tool policy
The assistant combines the user's message with relevant knowledge, current page context, and enabled tools such as commerce lookup or live site lookup.
- Prefer exact source matches before general model knowledge.
- Route unclear or risky questions to fallback behavior.
- Show source-backed answers when evidence is available.
Step 3
03Escalate, measure, and improve the coverage loop
Human teams can take over live conversations, review unresolved questions, and turn gaps into new knowledge sources or better prompts.
- Use staff handoff for high-intent or complex conversations.
- Track questions, leads, contact history, and usage.
- Improve source coverage from real support demand.
Buyer intent
Why teams search for white-label AI chatbots
Teams usually reach this page when a generic chatbot is no longer enough. They need an assistant that can answer from controlled knowledge, cite what it used, and hand off to people when confidence, compliance, or revenue risk demands it.
- Replace ungrounded answers with retrieval-backed responses.
- Make product, policy, and support content usable inside chat.
- Keep operators in control of escalation and improvement loops.
Corthex approach
Branding matters most when it is paired with operational control.
Corthex pairs widget customization with knowledge grounding, staff handoff, analytics, and API access so branded assistants can be deployed across sites without becoming isolated experiments.
- Knowledge ingestion keeps the answer surface tied to current sources.
- Page context and live lookup reduce stale responses on public sites.
- Staff console and analytics close the gap between automation and support quality.
Corthex structure
Built for clear customer answers
Each Corthex page uses a direct answer, fact table, workflow, comparison framing, related questions, and structured data. That gives buyers, operators, and AI assistants clear passages to understand and reuse.
- Short answer block near the top of the page.
- Specific feature facts instead of vague slogans.
- Internal links that make the Corthex platform map easy to follow.
FAQ
Questions this page should answer clearly.
What makes Corthex useful for white-label AI chatbots?
Corthex combines retrieval-augmented generation, source citations, embeddable chat, staff handoff, analytics, and APIs so teams can deploy assistants without losing control of answer quality.
Can Corthex answer from existing knowledge sources?
Yes. Corthex can ingest documents, URLs, and pasted text, then retrieve relevant chunks when a visitor asks a question. Storefront and widget flows can also include page context.
Can a human take over when the AI should not answer?
Yes. Corthex includes staff handoff workflows so support teams can pause the bot, continue the conversation, and preserve the full context for follow-up.
Does Corthex support developer integrations?
Yes. Corthex exposes API keys, REST endpoints, streaming chat, embeddable widgets, webhook-related workflows, and connector surfaces for production integrations.