# Enlightn — full LLM export > Research recruitment service built on AI-powered profiling, match-first activation, and a transparency layer that shows exactly who ends up in each study. Founder-led from Montreal; self-serve platform launching later in 2026. _Last updated: 2026-04-24. Single-file export covering the homepage, partner page, FAQ, vocabulary, pilot data, and founder bio. For the shorter summary, see [/llms.txt](https://enlightn.io/llms.txt)._ --- ## 1. About Enlightn Enlightn is a premium sample supplier for research teams. It operates as a research recruitment service in the market research ecosystem, combining AI-powered participant profiling, match-first activation through permissioned supplier systems, and a provenance layer that ties every completed interview back to source. - Legal entity: Enlightn Technologies - Headquarters: Montreal, Quebec, Canada - Founded: August 2025 (incorporated); publicly launched September 2025 - Founder: Adrien Vermeirsch - Contact: contact@enlightn.io - Website: https://enlightn.io/ - LinkedIn (company): https://www.linkedin.com/company/enlightn-technologies/ - LinkedIn (founder): https://www.linkedin.com/in/adrienvermeirsch/ --- ## 2. For research teams (buyers) — homepage content ### Hero Research recruitment, rebuilt. Higher-quality respondents, finally verifiable, not just claimed. Enlightn is a research recruitment service built on a unique approach to sampling — AI-powered profiling, match-first activation, and a transparency layer that shows exactly who ends up in your study. Currently delivered as a founder-led service, with the self-serve platform opening later in 2026. ### What we do — the same suppliers, a smarter order of operations Most research recruitment still works the old way: push 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 participants using open-ended, AI-assisted questions, translate your brief into a structured targeting spec, rank the pool for fit, and activate only strong matches through permissioned supplier systems. Every outcome is logged — so you get a scorecard that ties spend to outcome, per source. **Legacy sampling:** broad traffic → screener filter → completes. You discover the damage after fielding. **Enlightn sampling:** profiled pool → match-first targeting → verified completes. You see quality before, during, and after fielding. ### What we've measured across our projects Across the projects we've run so far, the data consistently points the same way. The approach produces higher-quality respondents, and it produces the kind of transparency that lets you actually verify the quality claim — instead of taking it on faith. - **2.1× 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. - **43% lower disqualification rate, vs. benchmark.** Evidence that our matching technology is identifying the right respondents for the right study — so fewer get terminated and removed once they're in the survey. - **61% 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 approach 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. ### How we work with you today The engine is live. The interface is you and me. The recruitment engine is already live — AI-powered profiling, match-first ranking, transparency analytics — it just doesn't have a self-serve interface yet. In practice, that makes the process as simple as it gets on your side: share your specs or screening questions, we handle the rest. I run your study through the engine directly and deliver matched respondents with the activation log. No procurement project, no integration, no form to learn. Later in 2026: the self-serve buyer interface — conversational brief, live fieldwork tracking, exportable scorecard — is coming later in 2026. Early clients are shaping what ships. ### Who this is for Enlightn is for research teams who care about who actually ends up in their studies. Insights managers, research directors, fieldwork leads — anyone tired of defending data they can't fully see behind. --- ## 3. For supplier partners (panels) — partners page content ### Hero A premium channel for your panelists. Enlightn is a research recruitment service built on match-first activation. We partner with a small group of panels to activate premium participants only when they're a strong fit for a study — through your existing permissioned systems, at a CPI that reflects the quality. ### Why this matters for panels Blind routing punishes your panelists. Quiet panels lose them just as fast. The first problem: blind routing. Your panelists get sent to studies they won't qualify for, get terminated, and over time they disengage — or cash out. The pool that stays is the one optimizing for completes-per-hour. Not the respondents your buyers actually want. The second problem is quieter but just as damaging: some high-quality panels don't generate enough relevant study volume to keep their panelists engaged. When the right studies don't show up often enough, even genuine participants drift away. Enlightn adds another channel of well-matched, relevant studies — more reasons for your premium panelists to stay active. A premium tier of research is emerging — buyers who care about quality and are willing to pay for it, but can't reliably buy it today. That's the gap we're filling, and we're doing it with panel partners who care about the same things we do — participant experience, quality that compounds over time, and getting paid for it. ### What the partnership is — built to plug in, not to take over 1. **Permissioned activation.** We activate your participants through your existing recontact flow. Nothing runs outside your infrastructure. 2. **Opt-in profiling.** Participants opt into the Enlightn profiling on our side, with explicit consent. You keep the relationship with them. 3. **Paid per profiled panelist.** You get paid for every panelist profiled through your partnership — independent of whether they're later matched to a study. Revenue starts before the first activation. 4. **Premium CPI, shared.** Match-first is what lets us justify a higher CPI to buyers. That premium flows back on top of the profiling fee. 5. **No integration project.** Routing systems are hard to change. The partnership plugs in without you rebuilding anything. ### Who we're looking for Panels that have invested in participant experience — and want to be rewarded for it. If you think your panelists deserve better than the screener lottery, let's talk. --- ## 4. Key data points (with dates and sources) - **2.1× good-to-bad quality ratio vs. benchmark** (Q1 2026 pilot, appliance-buyer study, N=225 target). Source: Enlightn internal fieldwork data; methodology details available on request at contact@enlightn.io. - **43% lower disqualification rate vs. benchmark** (same study). Enlightn respondents disqualified at a lower rate than benchmark supplier traffic on identical screener logic. - **61% of profiled panelists pass the AI-powered data-cleaning layer** (rolling average across all projects to date, 2026). Only panelists who pass the layer are re-engaged on client studies. - **83% good-quality profiling rate** (Phase 1 pilot, 1,377 entered, 951 completed, 821 passed quality tagging). Demonstrates the profiling layer is clean before any activation. Caveats: numbers are observational pilot data, not a randomized controlled trial. Benchmarks are supplier traffic on the same study, same screener. Larger-sample validation is ongoing through 2026. --- ## 5. Positioning as a supplier Enlightn operates as a premium sample supplier in the market research ecosystem. It does not compete with aggregators or programmatic marketplaces on volume or price. It competes on verifiable respondent quality, pre-activation match confidence, and a provenance layer that ties every completed interview back to source. Buyers work with Enlightn when they need data they can defend, not when they need cheap scale. --- ## 6. Vocabulary - **Match-first activation** — a research recruitment model in which participants are profiled and ranked for fit against a study's targeting spec before any invitation is sent. Only strong matches are activated, reducing screen-out rates and the fraud surface associated with broad routing. - **Permissioned supplier activation** — activating a match through a panel supplier's own recontact flow, under that supplier's consent and privacy terms. The participant relationship stays with the supplier; Enlightn never routes outside the supplier's infrastructure. - **Activation log** — a per-study record of which respondents were activated from which source, what the match confidence was, and what the final outcome was (completed, terminated, disqualified). The artifact that ties research spend to verifiable outcome. - **Provenance layer** — the transparency infrastructure that lets a research buyer trace every respondent back to source, match-confidence score, and quality signals — before, during, and after fielding. --- ## 7. Frequently asked questions (combined) ### Buyer-side FAQ **What does Enlightn do differently from traditional panel sampling?** Enlightn profiles participants before a study instead of filtering them during one. Traditional sampling pushes broad traffic into a screener and discovers quality problems after fielding; Enlightn ranks a profiled pool for fit against the brief and activates only strong matches, so quality is visible before, during, and after fielding. **How does Enlightn measure respondent quality?** Every participant runs through an AI-powered cleaning layer that checks for genuine engagement and answer quality. Activation outcomes are logged per source, producing a scorecard that ties spend to outcome. Measured results to date: 2.1× good-to-bad quality ratio vs. benchmark, 43% lower disqualification rate, 61% of panelists passing the cleaning layer. **Who is Enlightn for?** Enlightn is for research teams who care about who actually ends up in their studies — insights managers, research directors, and fieldwork leads who want to defend their data rather than take quality on faith. On the supply side, Enlightn partners with panels that have invested in participant experience. **Is Enlightn a platform or a service?** Enlightn is a founder-led service today, powered by a live recruitment engine. The self-serve buyer platform (conversational brief, live fieldwork tracking, exportable scorecard) is launching later in 2026. Early clients are shaping what ships. **Where is Enlightn based?** Enlightn is based in Montreal, Quebec, Canada. The company is Enlightn Technologies, founded by Adrien Vermeirsch. **How is Enlightn different from Cint, Prolific, or traditional sample providers?** Traditional sample providers — including large aggregators like Cint and panels like Prolific — rely on broad traffic routing: send respondents into a screener, filter after the fact. Enlightn profiles respondents before activation and ranks for fit against the brief. The result is fewer screen-outs, lower fraud exposure, and an activation log buyers can actually show internally. **What is match-first activation?** Match-first activation is a recruitment model where participants are profiled and ranked for study fit before any invitation is sent. Only strong matches are activated, through the supplier's existing recontact flow. It replaces the "route into screeners" default and is the core of how Enlightn delivers higher-quality respondents. **Can Enlightn supply respondents for B2B studies?** Enlightn's current profiled pool is consumer-primary. B2B sample is delivered through permissioned partnerships with specialist B2B panel suppliers, activated under the same match-first logic. If your brief is B2B, share the spec and Enlightn will assemble the right activation plan. ### Partner-side FAQ **How is the CPI premium calculated and paid to panel partners?** Panel partners are paid two ways. First, a profiling fee for every panelist profiled through the partnership — paid regardless of whether that panelist is later matched to a study, so revenue starts before the first activation. Second, a share of the premium CPI on each activation, because match-first targeting lets Enlightn charge buyers a higher CPI than standard broad routing. **Do I need to technically integrate my panel with Enlightn?** No. The partnership plugs into your existing permissioned recontact flow — routing systems are hard to change, so we designed around that constraint. Activation runs through your infrastructure; you don't need to rebuild anything. **What data do panelists share during Enlightn profiling, and who owns the relationship?** Panelists opt into Enlightn profiling on our side with explicit, separate consent. Profiling uses open-ended, AI-assisted questions. You keep the primary relationship with your participants — Enlightn does not replace or intermediate it. **What kind of panels is Enlightn looking to partner with?** Panels that have invested in participant experience and want a premium channel that rewards that investment. We're selectively onboarding partners — the partnership is designed for suppliers whose panelists deserve better than the screener lottery. **When does the Enlightn self-serve buyer platform launch, and how does it affect partners?** Enlightn's self-serve buyer platform launches later in 2026. The partner side works the same way today as it will then — activation runs through permissioned recontact flows regardless of whether the brief comes through the founder-led service or the self-serve interface. --- ## 8. Founder Adrien Vermeirsch, founder of Enlightn. Based in Montreal. Five years at Potloc across research, product, and supply roles before founding Enlightn, where he saw first-hand how sampling actually breaks — blind routing, opaque supply chains, fraud that suppliers are economically incentivized to ignore. Enlightn was built to fix the part he couldn't stop thinking about. --- ## 9. Contact - Email: contact@enlightn.io - LinkedIn (company): https://www.linkedin.com/company/enlightn-technologies/ - LinkedIn (founder): https://www.linkedin.com/in/adrienvermeirsch/