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Helm Express vs Simile
Simile builds simulated agents from a model it trains on consented responses from real people and on behavioural data, and sells them to large enterprises through a demo-led process. Helm Express builds simulated twins from the make-up of a US place. Both simulate, but they start from different things.
As of September 2026, from each company’s public site and documentation.
| Simile | Helm Express | |
|---|---|---|
| Who answers | Simulated agents from a model Simile trains on consented responses from real people and on behavioural data; a population can be tailored with your own customer data. No real person is asked your question. | In a reading, simulated twins of a place’s residents or businesses; no real person is contacted for a reading. Interviews and short studies with the public and credential-checked experts are run by arrangement, labelled as real people and kept separate. |
| Where | Populations described in plain language, including by place (its example is Floridians who order food delivery), or built from a customer's own customer types, including hard-to-reach groups. Its examples include the US and Brazil. Its site does not describe a map view. | Any of 12,759 US places — cities, counties, metros and states — with a neighbourhood map for most of them. US only. |
| Questions you can ask | Plain-language scenarios with a set of possible actions, comparisons across concepts, pricing or messaging, and conversations with simulated customers. | Yes/no, a pick among up to 12 options, or a belief question; an A/B of two messages or two pieces of news; an interview with up to five twins from a reading. |
| What comes back | A spread of answers across the possible actions, with a confidence tier on each result, plus simulated open-ended answers. | Which way the place leans, breakdowns by group and neighbourhood, and an interval and a read-quality grade on every poll result. |
| How you start | "Run a simulation" opens a form to book a demo. The site has no public pricing, sign-up or API documentation. | Book a call, or sign in. Planning a question and previewing its cost come before anything runs. |
| Best when | A large enterprise wants agents modelled on consented data from real people and a custom model trained on its own customer data. | You need a fast, low-cost direction on a local question, with its cost shown before it runs — which way the simulated place leans, and among whom — before spending on real fieldwork. |
Choose Simile when
You want agents modelled on consented data from real people.
You want a custom model trained on your own customer data, such as loyalty or account histories.
Your audience is defined by behaviour or customer type, or it sits outside the US.
Choose Helm Express when
Your question is about a place: who lives or does business in a specific US city, county, metro or state.
You want to see each question's cost before it runs, and a plan you can read before anything is spent.
You want breakdowns by neighbourhood on a map, with an interval and a read-quality grade on every poll result.
What we say about Simile is taken from its own public site and documentation. Check the current version at simile.com, and tell us if anything here is out of date.
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