See the signal. Before the market does.

ChatGPT predicts the next word. FishDog simulates how real people think and decide. Each population is built from census data, behavioural patterns, cultural context and live market signals, so it carries the contradictions of real humans, not the averages of internet text. That is why "just prompt ChatGPT" does not reproduce it: the input is a different class of data, not a better model.

A simulated population that mirrors a real one. Every persona is grounded in official statistics, behavioural data, cultural context and live signals, and they do not just answer in isolation. They discuss, disagree and shift position the way real people do in a room together.

Frontier models freeze at their training cutoff. Ours do not. A live pipeline feeds each archetype real signals: market data, cultural shifts, even today's weather where they live. So when you ask a question today, you get an answer grounded in today's reality.

We run generalisation checks, test-retest stability and wording-sensitivity analysis on every population, and keep results aligned to real-world signals like sentiment and market movement. Because the populations are fed live data, reliability does not decay the way a static panel does. Every answer ships with traceable rationales, so you can see the reasoning, not just a score.

Every response comes with traceable rationales and segment-level drivers, so you see the reasoning behind the number. Outputs stay grounded in real population data, and we flag low-confidence areas rather than fabricating certainty.

We recruit audiences, we never create them. Every audience is drawn from a standing population calibrated against official statistics, so its composition is set by real-world data, not by what a model imagines your customers look like. Creation is where bias lives; recruitment is where representativeness lives. Then we check the output, not just the input: results are validated against external ground truth like the University of Michigan consumer sentiment index and live prediction markets, and we preserve disagreement instead of averaging it away. When a real population skews, ours skews with it, and we tell you rather than smoothing it out.

When the question has nothing we can ground it in: a genuinely unprecedented product with no comparable market, a decision that turns on one named individual rather than a population, or a claim that needs lab measurement or jurisdiction-specific legal advice. We would rather tell you that up front than sell you a confident answer we can't stand behind. For high-stakes calls we can also validate direction with a small real-world study before you commit.

Usually, and we tell you up front when we can't. Audiences are recruited from the standing population, never invented to fit a brief: that is what keeps them representative. For specialist groups (hedge-fund analysts, category buyers, clinicians) we check recruitability before anything runs, validate against signals you share such as pipeline mix or win/loss, and say so honestly when a group is too narrow for the population to carry.

Yes. FishDog runs behind a full API, and some clients take their signal as a live feed straight into their own stack. You never integrate alone, though: our engineers design and build the integration with you, so what lands in your systems is signal your teams can use, not a raw endpoint and a manual.

We use your uploads to run your work inside your private workspace, nothing more. We do not sell your data or use it to train public models. Production runs on AWS, with full DPAs and NDAs available.