Data quality is the product
Every decision your business makes from our data is only as good as the responses behind it. We treat data quality as a first-class engineering problem — measured continuously, audited independently, and guaranteed contractually.
Every respondent. Every session. Scored in real time.
Our proprietary AI Trust Score evaluates every respondent the moment they enter a survey. Drawing on 180+ behavioural signals — typing cadence, mouse entropy, response patterns, device consistency, and cross-survey history — it predicts potentially fraudulent activity before it contaminates your data. Sessions that fall below threshold are terminated instantly, and the model continuously retrains on new fraud patterns to stay ahead of bad actors.
Predictive detection
Machine learning models trained on over 200 million historical responses identify fraud patterns before they manifest — not after your study completes. Country-level thresholds ensure culturally appropriate scoring.
Continuous learning
The Trust Score model retrains weekly on new fraud patterns surfaced by our global supplier network. Novel attack vectors are identified, classified, and integrated into the scoring pipeline within 48 hours.
Instant termination
When a session's Trust Score drops below threshold — due to speed-through behaviour, inconsistent responses, or device anomalies — the session is terminated immediately and the panellist is flagged for investigation.
A comprehensive framework that keeps fraud out — and quality in — at every stage of the research lifecycle.
Identity verification
Every panellist passes multi-factor identity verification before joining our panel: device fingerprinting across 40+ browser and hardware attributes, IP geolocation matched to claimed location, and government-ID or bank-grade identity checks where available. Re-verification triggers automatically if device or behavioural profiles change — ensuring the person behind every response is who they claim to be. In 2025, our identity layer blocked over 1.2 million fraudulent registration attempts.
Behavioural fraud detection
Our AI fraud engine analyses 180+ signals per response in real time: typing cadence and rhythm patterns, mouse movement entropy, tab-switching behaviour, copy-paste detection, straight-lining and pattern-response detection, attention check performance, and cross-survey behavioural consistency. The system builds a behavioural fingerprint for each panellist and flags deviations instantly. Since deployment, behavioural detection has reduced undetected fraud by 76%.
Duplicate prevention
Multi-layered deduplication runs at three levels: device-level (browser fingerprinting with Canvas, WebGL, and audio fingerprinting), network-level (IP and ASN analysis to detect VPNs and proxy services), and behavioural-level (cross-panel pattern matching to catch the same respondent using different devices or identities). We block an average of 1.2 million duplicate attempts every month, with a false-positive rate below 0.02%.
Response quality scoring
Every open-ended response passes through fine-tuned LLM classifiers that score for coherence, relevance, length adequacy, originality, and AI-generation risk — all before the response enters your dataset. Closed-ended responses are scored against straight-lining, speeding, and pattern-matching models. Low-quality responses are quarantined and excluded automatically. In independent audits, our quality scoring achieves 96.8% agreement with expert human reviewers.
Sample composition audit
Every delivered sample is automatically audited against census benchmarks (age, gender, region, income, education) and custom quota targets before delivery. Deviation reports are surfaced in your dashboard within minutes of fieldwork completion. If a sample exceeds the agreed deviation threshold on any dimension, replacement respondents are fielded automatically — at no additional cost — before the data reaches you.
Continuous panel health
Panellists are graded weekly on a composite health score incorporating engagement consistency, response quality trend, longitudinal behaviour stability, and survey completion reliability. Underperforming panellists — those showing declining attention scores, increasing speed-through rates, or participation anomalies — are removed from the active panel. This continuous curation means panel quality compounds over time rather than degrading.
The technology that keeps your data clean
Fraud prevention isn't a single solution — it's a layered defence. Our technology stack combines proprietary AI, third-party integrations, and dedicated human oversight to create multiple independent barriers between bad actors and your research data.
Device fingerprinting
40+ browser and hardware attributes — including Canvas fingerprint, WebGL renderer, audio context, installed fonts, and WebRTC leak detection — create a unique device signature that persists across cookie clears, incognito sessions, and VPN usage.
AI behavioural engine
Our proprietary transformer-based model processes 180+ signals per response in under 120 milliseconds — typing cadence, mouse entropy, scroll behaviour, and cross-question consistency — assigning a real-time Trust Score to every session.
Secure Survey (S2S)
Server-to-server direct connections between our platform and survey endpoints eliminate client-side tampering, prevent automated bot completions, and block 90% of ghost completes — fraudulent submissions from automated scripts.
Third-party integrations
We integrate with leading fraud intelligence providers for IP reputation screening, known-bot database cross-referencing, VPN and proxy detection, and automated threat intelligence feeds — updated continuously.
Trust & Safety team
A dedicated 40-person Trust & Safety team — spanning engineering, data science, and operations — monitors platform health 24/7, investigates anomalies, refines detection models, and manages supplier quality programmes across our global network.
Automated quarantine
Responses flagged by any layer of the defence stack are automatically quarantined before entering client datasets. A secondary human review process validates the AI decision within four hours, and confirmed fraudulent respondents are permanently removed.
A living panel. Continuously curated.
A quality panel isn't built once — it's maintained every day. Our panel operations team combines automated health scoring with human oversight to ensure 6.8 million panel members stay engaged, representative, and reliable over time.
Panel sourcing is fully transparent. Every supplier undergoes a rigorous onboarding audit covering recruitment methodology, incentive practices, identity verification standards, and data handling compliance. Supplier performance is tracked monthly against quality KPIs — reversal rates, quality termination rates, abnormal completion rates, and participant satisfaction scores — with underperformers subject to probation or removal. Our panel spans 130+ countries with 400+ targeting attributes, from basic demographics to psychographic profiles and verified purchase behaviour, and our feasibility checker gives you instant estimates of reach and cost before you launch.
Your data is yours. We protect it like it's ours.
Data privacy and security are foundational to data quality — because you can't trust data that isn't handled responsibly. Our security programme is designed for the most demanding enterprise environments.
Encryption everywhere
All data is encrypted in transit (TLS 1.3) and at rest (AES-256). Database-level encryption with customer-managed keys is available for enterprise clients. API access requires short-lived OAuth 2.0 tokens with granular scope controls.
Regional data residency
Data stays where you need it to stay. EU respondent data is processed and stored in EU regions (Frankfurt, Dublin). APAC data stays in APAC (Singapore, Tokyo). Americas data stays in the Americas. We maintain regional data clusters by default, with custom residency options for enterprise clients.
We never sell data
Your research data and panellist data are never sold, shared, or monetised outside the service we provide to you. Panellists opt in to specific studies only. Client research data is logically isolated and accessible only to authorised users within your organisation. This is contractual — not just a promise.
How we compare to industry averages
Independent audits consistently show globainsight outperforming industry benchmarks across every quality dimension. Here's how we stack up against industry averages based on the most recent ESOMAR Global Data Quality Report.
Benchmark data sourced from the ESOMAR Global Data Quality Report 2025 and independent third-party audits conducted by KPMG.
Independently audited, globally certified — our quality infrastructure is validated by the most rigorous industry standards.
Frequently asked questions
Everything you need to know about how we define, measure, and guarantee data quality.
Transparent sourcing
Full supplier disclosure for every sample, with deduplication and quality scores per source. You always know where your data came from.
Real-time monitoring
Live quality dashboards showing fraud removal, completion rates, and sample health during fielding. No waiting for post-field reports.
Money-back guarantee
If a sample fails our published quality thresholds on any dimension, we replace it at no cost — full stop. This is contractual in every enterprise agreement.
Independent audits
Annual third-party panel audits conducted by KPMG, with summary reports published publicly and full reports available to clients under NDA.
Want the full quality report?
Request our latest KPMG-audited panel quality report and SOC 2 Type II attestation under NDA.