Market & consumer intelligence that finds the mechanism, not the pattern.
Every big call you make about your market — which message, which channel, which partner, which segment — is a bet placed with incomplete information. Askar changes the odds. It’s a market & consumer intelligence agent: delegate it the question behind the decision, and it returns the kind of answer you’d expect from a commissioned study — real, named sources, the causal mechanisms underneath, working shown — ready to put in front of your board.
And it doesn’t start from a blank page. Askar investigates from its own proprietary intelligence base, built and expanded through every piece of research it conducts — so you’re not just hiring a researcher, you’re gaining access to a body of market understanding that grows by the day. What it learns about your market stays in your own private, siloed base, making every answer sharper than the last.
No six-week wait, no £10k invoice. Early access opens this month: bring the decision you’re facing, and get your first piece of intelligence free.
Illustrative — the shape of every Askar answer. Real examples coming from live sessions.
The industry stops at “what”.
Surveys find patterns. Analytics track behaviour. Focus groups record what people say. None of them reach why consumers act — under what conditions, and what would change it.
A commissioned study costs £10k–100k and takes weeks. Askar answers in under an hour.
Nobody explains why.
Patterns and dashboards tell you what is happening — not the causal mechanism underneath it, which is the only part you can actually act on.
It’s too slow and too costly.
A commissioned study takes weeks and runs into five or six figures. So the big questions get asked rarely, and most of the rest get answered on gut — or the decision never justified research budget at all, so it gets made on instinct.
The understanding walks out of the door.
Every agency hands you a report and keeps the learning. Next quarter, you pay for the same understanding again.
Most tools tell you what happened. Askar tells you why.
Askar runs the whole workflow — question to recommendation — on one reasoning architecture built on Systems Realism — our method for tracing behaviour to its cause. Two ways to use it.
A quick call to your consultant.
Ask a question, get a structured answer drawn from Askar’s knowledge base and the business context you share at onboarding — with a clear sense of how strongly the evidence supports each finding.
A commissioned study.
Submit a brief and Askar scopes and runs the work — searching its evidence base, gathering and verifying fresh external sources, and running the analysis — then delivers a structured intelligence briefing. (Research-tier, early-access accounts.)
It runs the research itself.
Ask a question and Askar plans the approach, gathers the evidence, runs the analysis, and delivers the answer. You delegate the question, not the legwork.
It doesn’t start from a blank page.
Ask a general-purpose chatbot the same question and you get its best guess from training data. Askar reasons from its own proprietary intelligence base — an accumulated body of consumer evidence and the mechanisms behind it, built through every piece of research it conducts, not a language model’s best guess.
It finds causes, not correlations.
Systems Realism — our method for tracing behaviour to the mechanisms that drive it — gives you an explanation you can act on, not a chart you’re left to interpret.
From question to structured intelligence.
Ask
Put a business question about consumer behaviour to Askar. It scopes the work and confirms before it runs.
Gather & analyse
It pulls evidence from monitored sources and analyses it against an accumulated body of UK consumer knowledge.
Trace to why
It finds patterns and contradictions, then traces them to the causal mechanisms underneath — structured enough to brief an MD, specific enough to act on Monday.
Accumulate
Every engagement feeds your intelligence base — per-client and institutional. The next answer is sharper than the last. This is where it compounds ↓
Intelligence that compounds.
Every study Askar runs makes it a better researcher. Its proprietary intelligence base — the evidence, findings, and causal mechanisms accumulated across everything it has ever investigated — grows by the day, so each new question starts from a stronger position than the last.
Your own intelligence grows in parallel: everything Askar learns about your market, your customers, and your category lives in a private base that only your organisation can draw on. Two bodies of knowledge, both always growing — one you share in, one you own.
Yours stays yours.
Everything Askar learns about your market lives in your own private, siloed base — never pooled with anyone else’s by default. It’s accessed only through your agent: your data, your sessions, your account. The only thing that ever leaves your silo is an anonymised pattern that clears a strict evidential threshold — stripped of anything that could identify you or your customers — and even then, it enters nothing but the shared intelligence base every organisation draws on. Your competitive detail stays exactly where you put it: with you.
Only anonymised patterns that clear a strict threshold ever reach the shared base. Every other organisation’s silo follows the same isolated path.
Every answer shows its working.
Askar’s findings move through three layers: what we found (evidence from real, named sources), what it means (the pattern behind the numbers), and why it happens (the causal mechanism underneath — the thing you can actually act on). Most research hands you the first layer and calls it an answer.
Real, named sources — not a language model’s best guess. What the evidence actually says, on the record.
The interpreted layer: what the evidence actually means for your audience — the pattern beneath the numbers, reasoned through rather than asserted.
The causal mechanism underneath — the part you can act on. It accumulates per-client and institutionally, so the understanding of your audience keeps deepening with use.
This is Systems Realism — Askar’s method for tracing behaviour to its cause.
The advantage was never the agent. It’s the intelligence you feed it.
A multiplier on the effectiveness of your other agents.
As you wire AI agents into your operations, the knowledge they pull from base models is commodity — the same intelligence your competitors get. Askar is the specialist layer: headless-first, consumable directly over an API, at the same price whether the caller is a person or a machine.
# same answer, human or agent POST /v1/intelligence/ask { "question": "why do lapsed subscribers churn?", "audience": "uk_25_44" } → structured intelligence, evidence chains, mechanisms # discover — agents self-register, # up to 5 free Insight queries: # /.well-known/agent-card.json # /auth.md · /pricing.md
What it replaces.
For context: a commissioned study runs £10,000–100,000 and takes weeks. Askar delivers the equivalent in under an hour — final pricing shared during onboarding.
We’re finalising pricing with our early-access partners. Exact figures are agreed during onboarding.
Pay as you go
Overflow Research credits with no commitment. Same price whether the caller is a person or an AI agent.
Monthly subscription
A monthly allowance of Research studies. Insight questions are free within fair-use on every plan.
For teams at scale
Higher volume and deeper engagement for teams running continuous intelligence.
Request early access.
We’re onboarding a small number of brands to the beta. Bring the decision you’re facing, and we’ll work closely with you on it as we go.