Train a Private LLM That Thinks Like Your Business

Give your model your data and your attitude—so it answers with your standards, your tone, and your goals.
Your customers don’t need “an AI.” They need your AI.
Turn your content, SOPs, policies, and decision logic into a custom model that can hold long conversations, stay on-brand, and handle real-world nuance with emotional intelligence.
Primary CTA: Start your research → (See how it works)
Secondary CTA: Request a sandbox demo
Micro-credibility bar:
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Built for 250+ turn conversations
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Designed for small businesses (content-heavy + process-heavy)
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Private model training & deployment options
If you’re using a generic LLM, you’re renting someone else’s brain.
Even with prompts and “brand voice” instructions, most systems fall apart when:
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conversations go long,
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emotions get involved,
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edge cases show up,
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a user asks the same thing three different ways,
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or the assistant needs to apply your judgment, not generic advice.
Prompting can steer. It can’t internalize.
A SaaS for training business-specific LLM behavior
Bring your:
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Data (docs, KBs, emails, transcripts, policies)
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Processes (SOPs, checklists, decision trees, QA rubrics)
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Voice (tone examples, do/don’t, brand boundaries)
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Intent (what outcomes you want the model to drive)
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Standards (what “good” looks like in your business)
…and train a private model that consistently:
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answers like you,
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reasons the way you do,
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and handles human conversations without sounding robotic or reckless.
What you can use it for (no fluff)
Customer-facing
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Answer FAQs with your exact policies
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Calmly handle upset customers with consistent language
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Book appointments, pre-qualify leads, and collect needed details
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Provide quotes or next steps using your rules (with human review if you want)
Internal team
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How do we handle this?” SOP assistant
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New employee onboarding helper
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Reduce repeated questions in Slack/text/email
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Draft customer responses in your voice, ready to send
Owner-facing
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Turn messy notes into clean emails, estimates, or proposals
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Summarize calls and suggest next steps
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Keep your brand voice consistent across everything
Full dataset
JSON + JSONL
JSON + JSONL
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