Higher-quality respondents, finally verifiable, not just claimed.

We only recontact panelists we already know — profiled, quality-checked, and matched to your study. Never anonymous traffic. You see the reasoning behind each invitation before fieldwork even starts.

Every study ships with its receipts.

We don't ask you to take quality on faith — no sample provider should. You hold the proof at both ends: the quote before fieldwork, the fieldwork analysis after.

01 · Before fieldwork — the quote, free in 24h

Every panelist we'd recontact, with the evidence behind each match — Proven, Likely, or Unknown, criterion by criterion — a confident floor per target, and transparent pricing. When our pool can't cover your full ask, the quote says so, and you choose how the gap gets filled. Billed per delivered complete.

02 · After fieldwork — the fieldwork analysis

Incidence, disqualification, completion, drop-off — and who qualified and why, per source. Built to be forwarded: your client sees the same provenance you do.

A real Enlightn quote for a demo study, US adults 18–50 with PlayStation or Xbox: full request of 100 completes covered from Enlightn-vetted panelists, blended CPI $6.00, estimated feasibility of ~117 completes at 95% incidence, with the targeting criteria listed

A real quote — demo study shown. Password-gated per client, and every number explains itself on hover.

The same suppliers. A smarter order of operations.

Most research recruitment still works the old way: push anonymous traffic into a screener, let it filter. 60–70% termination rates. Respondents learning to game screeners. Data you can't fully defend.

Enlightn flips the order. We profile panelists with open-ended, AI-assisted questions, translate your brief into a structured targeting spec, rank the pool for fit, and recontact only strong matches through permissioned supplier systems. Every activation is logged — the fieldwork analysis ties spend to outcome, per source.

Legacy sampling
Anonymous traffic Screener filter Completes
You discover the damage after fielding
Enlightn sampling
Known panelists Matched before invite Completes, logged
You see quality before, during, and after fielding

Across the projects we've run so far, the data consistently points the same way.

The approach produces higher-quality respondents — and the kind of transparency that lets you verify the quality claim instead of taking it on faith.

01
0.0×

Good-to-bad quality ratio, vs. benchmark

On the studies we've run, the ratio of good-quality to bad-quality completes from Enlightn-activated respondents has come in at 2.1× that of benchmark supplier traffic on the same studies.

02
0%

Lower disqualification rate, vs. benchmark

Evidence that matching before the invitation identifies the right respondents for the right study — so fewer get terminated and removed once they're in the survey.

03
0%

Of panelists pass our AI-powered data cleaning

Every participant runs through an AI-powered cleaning layer that checks for genuine engagement and answer quality. Only the ones we're confident in are re-engaged on client studies. We know this leaves some false positives on the table — we'd rather be conservative than pad the pool.

Averages across the projects we've run to date. Results vary by study; we share the full per-project picture openly.

The engine is live. The interface is you and me.

The recruitment engine is live — AI-powered profiling, match-first ranking, provenance logging. I run your study through it directly, and you work with one person who owns the result. On your side, it's as simple as it gets:

  1. Day 0

    Send your brief

    A spec, a screener, quotas — whatever you have. No procurement project, no integration, no form to learn.

  2. Within 24h

    You get the quote

    Who we'd recontact, the evidence behind each match, a confident floor per target, transparent pricing. Feasibility answered before you commit anything — free on a live brief.

  3. Fieldwork

    We recontact strong matches

    Only strong matches are invited — through our supplier partners' permissioned recontact flows. Billed per delivered complete.

  4. After field

    You get the fieldwork analysis

    Incidence, disqualification, completion, drop-off — and who qualified and why. Forward it to your client.

Enlightn is for research teams who care about who actually ends up in their studies.

Research agencies first — the teams who have to produce confidence for their own end clients. Insights managers, research directors, fieldwork leads: if you're tired of defending data you can't fully see behind, we'll have that conversation honestly. Also a fit: qual-at-scale and AI-interview platforms that need participants who actually want to talk.

Adrien Vermeirsch, founder of Enlightn

Built from what I saw, not what I read.

I'm Adrien, a French founder based in Montreal. Five years across insights, innovation, and sampling operations taught me how sampling actually breaks: blind routing, opaque supply chains, fraud that suppliers are economically incentivized to ignore. Enlightn is what I built to fix the part I couldn't stop thinking about.

More on LinkedIn

What buyers ask us.

The honest versions, including the numbers and the caveats. Anything else — .

How is this different from Cint, Dynata, or my current suppliers?

Marketplaces and most panels route anonymous traffic into your screener and filter after the click — you never know whether a panelist was properly profiled or just pushed through a pre-screener tuned to qualify. We only recontact panelists we already know — profiled, quality-checked, and matched to your study before any invitation goes out — and we show you the evidence behind each one. The result: higher quality and higher incidence, from the same suppliers underneath. A smarter order of operations.

Everyone claims quality. Why is this different?

Agreed — every supplier says it. That's why we don't ask you to believe us: run a pilot alongside your current supplier, same study, a slice of the sample, verdict metrics agreed upfront. The fieldwork analysis decides, not the pitch.

What happens when respondents misrepresent themselves?

Your data gets quietly distorted. Respondents who learned to game screeners answer as whoever qualifies — segments get polluted, incidence reads wrong, and the business decisions built on that data don't maximize the outcomes they were supposed to. It's not even always malicious: panelists get terminated so often that misrepresenting becomes rational. Our model removes that incentive — the panelists we recontact were profiled with open-ended questions long before your study existed, and they're only invited when their real profile matches.

Where do your panelists come from?

From panel suppliers we've tested for quality, through permissioned partnerships. Panelists opt into profiling with explicit consent, answer open-ended AI-assisted questions, and pass a cleaning layer before entering the pool — 61% make it through. We'd rather be conservative than pad the pool.

Do recontacted panelists actually respond months later?

That's the mechanism the model rests on, so we measure it. In our latest recontact test, 69% of panelists profiled four months earlier completed a new survey within about a week, at a normal incentive, with quality holding. One cohort, one supplier — we treat it as an upper bound, and we keep measuring.

What exactly is the quote?

A feasibility answer on a live brief, delivered within 24 hours as an interactive page: who we'd recontact, the evidence behind each match, a confident floor per target — matched × recontact rate × incidence, with the math shown — and transparent pricing. It's free, and you're billed only for delivered completes.

What's in the fieldwork analysis?

The after-fieldwork deliverable on every project: incidence, disqualification rate, completion, drop-off — and who qualified and why, per source. It's built to be forwarded: your client sees the same provenance you do. And because every study reports the same metrics the same way, you can compare our performance against your other suppliers on facts, not impressions.

Can you fill my target in my market?

The quote answers that in 24 hours, with evidence — and when the answer is no, you hear it fast. When we're thin on a cell, the quote says so, and you choose: Enlightn-vetted panelists only, or full coverage where the gap is filled from external partner sources, labeled and priced separately. Nothing is blended without you seeing it.

What CPI can I expect?

We're a premium sample provider, with real costs behind the quality — AI-assisted profiling, AI-powered data cleaning, fraud detection. Our approach also produces much higher incidence rates, which pulls our variable costs down. All in, expect a CPI about 20–30% higher than what you're used to. When we need external providers to cover a gap — always transparently, with your prior approval — we apply a margin on top of our real costs, much lower than our competitors', and disclosed.

Can you cover B2B studies?

We're focusing on consumer surveys, and working with suppliers focused on consumer acquisition. That said, two-thirds of our profiled panelists are in the active population, so we can fulfill B2B projects. Send us the brief and we'll answer transparently.

See it on your next study.

Send a brief — you'll have your quote in 24 hours: who we'd recontact, the evidence, the price. Free on a live brief, no commitment.