Unum11 FAQ
Every answer below is self-contained and dated, because the systems most likely to quote one will show it without the rest of the page. Figures were measured .
What is Unum11?
Unum11 is an automated business-intelligence pipeline. Give it a company name and location; it researches the company from public sources, simulates its customer base as tens of thousands of decision agents, and returns a sourced strategy report where every factual claim carries an evidence label and every gap is printed as a gap.
How is Unum11 different from asking ChatGPT about a company?
A chatbot answers from memory in one pass. Unum11 resolves 136 named fields from live sources, labels each as verified, estimated, or a documented gap, runs a statistical choice simulation, then red-teams every claim it wrote. The output is a 700KB sourced document, not a chat reply.
How accurate are Unum11 reports?
Unum11 grades every report on its own 1,000-point rubric across nine categories. The best to date scored 887 on 2026-08-22. That number is self-administered, not externally audited — a real McKinsey Global Institute report scores 409 on the same rubric, which measures our house bias rather than McKinsey.
Does Unum11 make up numbers?
It is built specifically not to. Every resolved field carries one of four states: VERIFIED, CREDIBLE_ESTIMATE, DOCUMENTED_GAP, or NOT_APPLICABLE_BY_BUSINESS_MODEL. A figure with no evidence is printed as a documented gap, in the body text, next to the claim it would have supported. An adversarial red team re-tests every extracted claim before delivery.
How long does a Unum11 report take?
A deep run has an eight-hour wall-clock budget and typically uses most of it. Research, simulation, composition, design, red-teaming and three validation gates run in sequence. It is not a real-time tool: you send a company name and the deliverables arrive later the same day.
How many customers does the simulation model?
It varies with the company and run depth. The largest run to date modelled 40,200 individual personas producing 2,046,200 discrete choices. Agent choices are computed by a multinomial-logit model rather than one language-model call per agent, which is why populations this size are affordable.
What does Unum11 cost to run?
Measured on real runs: 1.29M input and 1.17M output tokens per report across roughly 400-500 billable model calls. That is $1.61 per report on MiniMax M3, $6.95 on GLM 5.3, and $18.21 on Kimi K3. Seats are $500 per month for the early cohort.
Who is Unum11 for?
Consultants, corporate development teams, and investors who need a defensible written view on a specific company and would otherwise spend weeks assembling one. It is aimed at small- and mid-cap public companies and established private businesses where a public record exists to research.
Does Unum11 have customers or case studies?
No. It is pre-revenue and onboarding its first cohort by hand. Every figure published on this site comes from internal runs against real public companies, not from client work. There are no testimonials on this page because there are no customers to quote.
Still unanswered? Email reports@unum11.com. Related: what Unum11 is, how it compares to consulting, what a report contains.