Three copilots, one contract

Turn scattered signal intodecisions you can defend

Unicorn Nexus reads what your customers ask, what they complain about, and what your team agreed to then hands you a claim, a count, and the receipts. Never a number without the quotes behind it.

  • Zero hallucinations grounded or silent
  • ~6 KB widget, one script tag
  • Free to start, no card

0 KB

Widget size

zero dependencies

0

Embedding dims

per chunk, re-normalised

0

LLM providers

automatic failover

0/mo

Free queries

no card required

Three copilots

Nova answers. Echo listens. Atlas carries.

Three places company signal hides, one thing they all owe you: a claim, a count, and the quotes underneath it.

Nova answers

Embeds on your site and answers only from your own documents. When it cannot answer, it says so and that silence becomes the list of what to write next.

Reads
Your docs, PDFs and pages
Hands back
Grounded answers + knowledge gaps

Echo listens

Reads reviews, tickets and call transcripts, groups what people actually mean, and ranks it twice by volume, and separately by churn risk.

Reads
Reviews, tickets, calls
Hands back
Ranked pain points + receipts

Atlas carries

Beta

Turns meeting talk into tracked commitments, each pinned to the second it was said. Nothing is tracked until a human confirms it.

Reads
Meeting transcripts
Hands back
Confirmed commitments + decisions

How it works

From something someone said to something you can act on

  1. Signal arrives

    A visitor asks Nova a question. A customer leaves a two-star review. Someone says "I'll send it Thursday" in a meeting. Three sources, one shape.

  2. It gets embedded and grouped

    Everything is embedded in the same vector space and assigned to the nearest topic cluster, or starts a new one. One clustering engine serves all three copilots.

  3. A claim is written

    A model writes one sentence naming what the group is about. That sentence is the only thing a model contributes it is never allowed to produce a number.

  4. The count comes from SQL

    Counts are computed by aggregating rows, not generated. "12 of 50" is arithmetic. The twelve quotes sit underneath, stored exactly as they were written.

Unicorn Nexus, Where Accuracy Meets Brand.

We're not just wiring up an LLM. We combine grounded retrieval, your brand's look, and real usage data to make a chatbot your customers and your team actually rely on. Whether it's a support widget or an internal docs assistant, we build it to answer honestly or not at all.

Setup, protected brand accuracy, and conversion growth shown as three connected stages
See it in action

This is what your site could sound like.

A preview conversation from a real UnicornCraftStudios workspace grounded answers, on-brand colors, one script tag. Yours can be live in minutes.

Start free and try it →

FAQs

  • Unicorn Nexus is an AI Knowledge Intelligence Platform by UnicornCraftStudios. Its assistant, Nova, is a retrieval-augmented generation (RAG) AI you embed on your website with one script tag. Nova answers questions using only the documents, PDFs, and pages you upload it never invents facts.

  • Every answer is generated only from the passages retrieved from your knowledge base for that specific question. If nothing relevant is found, Nova says it doesn't know instead of guessing.

  • Upload a document or paste a URL, copy one script tag into your site, and Nova is live typically under five minutes, with no build step or framework required.

  • 100 queries per month, unlimited documents, and full analytics including which questions Nova could not answer.

  • Yes. The analytics dashboard tracks your "I don't know" rate and groups unanswered questions together, so you know exactly what content to add next.

  • No. Every workspace documents, embeddings, and chat logs is isolated at the database level with row-level security. Cross-tenant access is not possible.

Have a knowledge base? Let's turn it into a chatbot.

Free to start, live in minutes, and it never answers with something that isn't in your content.