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Support & CX

Customer Support AI.Answer from your own docs and tickets, in your own voice.

Fine-tune an open-weights LLM on your product docs, past tickets, and FAQs. Deploy a support agent that understands your brand voice, and hands a conversation to your team when it should. Train it on your own GPU and customer data never goes to a third-party API.

Build Your Support AgentTalk to us
All use cases
  • Model weights, exportableYours
  • Compatible API for your stackOpenAI
  • Your data stays where you trainStays putWhen you train on your own GPU.
  • Your data is used only for the runs you startYour runs

The problem

Generic LLMs hallucinate product-specific answers, can't access your knowledge base, and require sending sensitive customer data to OpenAI or Anthropic. Every wrong answer costs you a customer.

How Langtrain helps

Purpose-built for Support & CX.

  • Domain-Specific Accuracy

    Fine-tune on your actual product documentation, past resolved tickets, and internal knowledge base. Your model knows your product, not generic platitudes.

  • Data Privacy

    Train and run the model on your own hardware and customer data stays in your infrastructure. No third-party AI provider sees it.

  • Hand-off To People

    Your helpdesk decides when to route a conversation to an agent, for example on low confidence or an angry customer. The model answers; your integration escalates.

  • Multilingual

    Open models such as Qwen and Llama are trained on many languages. Fine-tune on conversations in the languages your customers use.

  • Checked Before It Ships

    Score the fine-tuned model on held-out tickets before it answers a single customer.

  • Works With Your Stack

    Serve it with vLLM behind an OpenAI-compatible API, so your helpdesk backend and existing tools can call it.

Applications

What teams actually build.

  1. 01

    Tier-1 Ticket Deflection

    Train on your top 500 most common issues. The model handles password resets, billing questions, and basic troubleshooting without any human involvement.

  2. 02

    Internal Agent Assist

    Deploy as a co-pilot for human agents. The model surfaces relevant KB articles, suggests responses, and flags policy violations in real time.

  3. 03

    Proactive Support

    Integrate with product telemetry — when a user hits an error, the agent proactively opens a chat with the relevant solution.

  4. 04

    Returns & Refunds Automation

    Automate the full returns flow: validate eligibility, initiate RMA, update CRM, and send confirmation — all in one agent conversation.

Check it first

Don't take our word for it. Test it on your own cases.

  1. 01

    Hold back real cases

    Keep 50 to 100 real examples out of the training data, with the answers you would accept.

  2. 02

    Ask both models

    Put the same questions to the base model and to your fine-tune, and read the answers side by side.

  3. 03

    Have an expert review

    Before anything ships, a support lead checks the answers and decides whether it is good enough.

How to run it: the quick start

No certifications yet: we have not completed a SOC 2 or ISO 27001 audit. For regulated data, train in your own environment.

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Ready for Support & CX?Start with your own data.

Talk to us, or start fine-tuning on the free plan.

Build Your Support AgentTalk to us
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Fine-tune open models on your data. Keep the weights.

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