Solutions
We recruit participants, manage field operations, and deliver quality-controlled datasets for AI, consumer technology and market research projects worldwide.
What we do
Voice, speech, image, video and behavioural data collection for AI model training and evaluation.
Structured participant-based studies for consumer technology products and services.
Recruitment, screening, scheduling, venue management, compensation handling, QA review and final delivery.
User study areas
Eleven areas of human data collection. Every one runs on the same operation — recruited, screened, collected and checked before anything is delivered.
Voice recorded in real conditions, with the metadata that makes it usable.
Domain reasoning and cultural judgement, from people who hold the context.
Not just accurate — natural to a speaker of the target language.
Structured labels to your schema, with agreement tracked between raters.
Whether a result actually answers the question that was asked.
Hardware used the way people actually use it, not on a bench.
Smart home and ambient scenarios, captured in real homes.
Fitness, sleep and activity data, collected with explicit consent.
Receipts, invoices and forms as they really look, with ground truth.
Whether an answer is helpful, appropriate and true across a whole exchange.
Audited against your policy, by reviewers briefed on what they will see.
How we deliver
The order matters. QC that runs after delivery is just an apology — ours runs before anything leaves the pipeline.
You brief us on study requirements, demographics, locations, timelines and compliance needs. We return a project plan within 48 hours.
We activate our participant network and targeted outreach channels to find qualified candidates.
Every applicant passes through screening before scheduling, so only qualified participants reach a session slot.
Our field operations team manages venue coordination, participant handling, session logistics and compensation.
All data passes internal quality review before delivery, so what you receive already meets project specification.
Selected work
Client names withheld under NDA. What is shown is the collection design, the tooling built for it, and what came out the other side.
Participant intake, prompt delivery and recording pipeline for an automotive voice assistant study. Prompts served per locale, recordings uploaded from the vehicle, and transcription review run as a second pass with speaker and noise-condition metadata attached to every clip.
A crowd-sourced barcode capture programme where participants photograph retail packaging at home. Legibility scoring and duplicate detection run at upload, and each accepted asset carries its decoded value, product category and capture conditions.
A batch-based collection app where participants submit purchase receipts and invoices against per-market quota rules. Acceptance logic runs at upload — merchant match, legibility, duplicate detection — so rejected images never enter the delivery set.
A structured intake form for contributors, an automated QC pass that scores every submission, and an operations dashboard showing acceptance rate, reviewer queue depth and progress against quota — so problems surface on day two, not week six.
Point-of-interest and road names converted into a standard phoneset for navigation voice output, with a mapped phoneme inventory, automated flagging for out-of-set symbols, and validation against how names actually play back in the target voice engine.
Pre-screened participants across demographics and geographies.
Active network across 18+ countries and 54+ cities.
Studies launched within 48 hours of project confirmation.
Multi-layer QC before delivery, at a 95% approval rate.
Custom screeners, quotas and collection methods per project.
An assigned manager for every study, start to finish.
Recruitment, screening, scheduling and QA handled end to end. Whether you need 50 or 5,000 participants.
