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Generative AI that speaks in your business's voice.

Generative AI becomes useful to a business when it is grounded in that business's own information. TrillUP connects large language models to your curated knowledge base, so every generated answer reflects your services, policies and tone rather than generic internet text.

Inside the TrillUP workspace you configure agents with clear instructions, upload the documents and facts they may rely on, and test their responses before anything reaches a customer. The result is generative AI you can actually supervise.

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Use cases

What Generative AI Solutions can do for you.

Knowledge-grounded answers

Agents retrieve from your uploaded business knowledge before they write, so answers stay accurate and on-policy.

Conversation summaries

Long customer conversations become short, readable summaries your team can act on.

Drafting assistance

Generate first drafts of customer replies, follow-up notes and internal documentation for human review.

Consistent voice at scale

Every agent follows the same instructions and approved knowledge, so quality does not depend on who is on shift.

Capabilities

What is included.

  • Large language model integration through a managed, secure connection
  • Retrieval-augmented generation (RAG) over your private knowledge base
  • Per-agent instructions, tone and boundary configuration
  • A supervised test console before any agent goes live
  • Usage quotas and workspace-level isolation

How it works

From first conversation to working system.

  1. 01

    Add your knowledge

    Upload the documents, FAQs and policies your agents are allowed to use.

  2. 02

    Configure the agent

    Set its role, instructions and boundaries, then test real questions in the console.

  3. 03

    Review and refine

    Read conversation history, correct gaps in knowledge, and improve over time.

Questions

Common questions.

Does TrillUP train a model on my data?
No. TrillUP uses existing large language models and grounds them in your knowledge base at request time. Your documents stay inside your workspace and are not used to train a model.
How do I stop the AI from making things up?
Agents are instructed to answer from your approved knowledge and to say when they do not know. You review conversations and can tighten instructions or knowledge at any time.
Can I test generative AI before customers see it?
Yes. Every agent has a test console inside your workspace, and test activity is clearly labeled and separated from real customer activity.

Related services

Explore more of the platform.

Agentic AI Solutions

Agentic AI for business: autonomous AI agents that plan and execute multi-step work within defined permissions, approvals and human oversight.

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Conversational AI

Conversational AI for business: AI chat agents and virtual assistants that answer customers from your knowledge and hand off to humans visibly.

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Custom AI Development & Integration

Custom AI development and integration: tailored AI applications, LLM features and system integrations designed and built for your business.

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