End-to-end data collection.
Built for the complexity AI demands.

Locales supported across speech, text, vision, and behavioral data

Secure, certified facilities across 8+ global regions

Core collection capability areas, all delivered in-house

One program lead from scoping through final delivery

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The workforce behind the data matters.

Data collection is 90% operations. Facilities, scheduling, compliance, participant logistics, and on-the-ground or remote management: Welo Data owns all of it, so you don’t have to.

Consultative Scoping

We work with your team to map requirements, participant demographics, timelines, and compliance needs, building the program architecture before a single session begins.

Secure Facility Infrastructure

On-demand access to 14+ certified labs worldwide, plus the ability to source and configure partner locations. IP protections, device security, and access controls in place from day one.

Precise Participant Sourcing

Demographic-specific recruitment across body types, skin types, age ranges, ability profiles, and language backgrounds. Every participant reviewed before engagement. Not bulk-recruited.

Legal & Governance Built In

Data consent, participant privacy, and handling protocols finalized before collection begins. Non-negotiable for biometric, skin-type, and minor-participant programs. Standard on every engagement.

Experienced Program Leads

Program managers who have run complex, high-stakes collection for decades. Edge cases, disruptions, and hard launch deadlines are standard operating procedure, not escalations.

QA Embedded Throughout

Pilot samples and calibration rounds run before full-scale collection. QA runs in parallel throughout. Issues surface during the program, when they can still be fixed.

Six capability areas.
All under one program.

Whether your model handles speech, vision, or physical interaction: we’ve collected it before, at scale, under controlled conditions, across the locales that matter.

  • Speech & Audio
  • Multi-accent, multi-dialect speech across 155+ locales. Command recognition, voice interaction, and conversational AI training data, in controlled and natural environments.
  • Text & Language
  • Domain-specific text with expert annotation. Legal, medical, financial, and technical verticals, written and reviewed at linguist level, not crowd level.
  • Vision & Multimodal
  • Image, video, and combined modality datasets. Object detection, scene understanding, and action recognition, collected at scale with demographic precision.
  • Physical Interaction
  • Human motion and gesture for robotics, embodied AI, and assistive technology programs. Secure lab settings, safety protocols, and certified facilities included as standard.
  • Biometric & Behavioral
  • Certified facilities, compliant recruitment, and trained program leads for biometric, skin-type, eye-tracking, and other sensitive collection types, with legal and comms frameworks specific to each.
  • Synthetic + Human Hybrid
  • Synthetic generation paired with human ground-truth validation. Scale without sacrificing quality. Real-world coverage where synthetic alone falls short.

The infrastructure behind every program.

Built for teams that need volume, precision, and the operational depth to deliver both.

Speech, text, vision, and behavioral collection across languages, dialects, and geographies.

Certified, controlled labs across 8+ global regions, plus the ability to source and configure partner locations.

Speech, text, vision, physical interaction, biometric, and synthetic hybrid: all in-house.

On-the-ground teams and offices in low-cost and high-demand collection markets worldwide.

One program lead from scoping through final delivery. No handoffs, no gaps in accountability.

Pilot calibration and embedded QA mean spec issues surface during the program, not when you open the final dataset.

What makes a data collection program
actually work.

Most programs don’t fail on model quality. They fail on operations. Here’s where Welo Data is built differently.

Operational infrastructure already in place

Certified labs, global offices, and on-the-ground teams across 8+ regions. We don’t build the program from scratch when you call. The infrastructure exists and is ready to deploy.

Experienced leads, not coordinators

Program managers who have run large-scale, complex collection for decades, including robotics, biometric, and high-sensitivity programs. Disruptions and hard deadlines are handled on site.

Sensitive collection handled correctly

Skin type, biometric, minor-participant, and other sensitive demographics require specific legal frameworks, recruitment language, and data handling protocols. Ours are built and tested, not assembled per engagement.

Quality embedded, not applied at the end

Pilot samples and calibration rounds run before full-scale collection begins. QA runs in parallel throughout. Issues surface during the program, when they can be fixed.

Multilingual depth where it counts

155+ locales with native-speaker access and dialect coverage. Welo Data’s multilingual infrastructure, built over decades, extends into data collection programs where language precision directly affects model performance.

Flexible when requirements evolve

Specs changed mid-program are handled through structured re-calibration, not rework from scratch. We realign on requirements, run a new pilot sample, and continue. Timelines are discussed transparently.

Common questions. Straight answers.

One program lead owns everything: scoping, facility access, participant sourcing, scheduling, collection management — whether on-site or remote — QA, annotation, and final delivery. You bring the use case. We return a model-ready dataset. No coordinating between vendors, no managing logistics yourself.

Certified facilities or verified remote environments, compliant recruitment, and legal frameworks specific to the data type, built before collection starts, not assembled per engagement. For biometric, skin-type, eye-tracking, and minor-participant programs, the compliance infrastructure, recruitment language, and data handling protocols are already in place and tested.

Yes. Secure lab access, hardware handling protocols, and safety infrastructure for human-robot interaction are standard. We’ve managed programs involving pre-commercial robotics hardware: IP protection, device security, controlled access, and certified facilities are built into the program from day one.

155+ locales, supported through both on-site certified facilities and remote collection modes, giving you flexible access across 8+ global regions including low-cost markets. Scaling to new locales doesn’t require building infrastructure from scratch. The teams and facilities are already there. Timeline depends on program complexity; we scope that in the first conversation.

QA starts at vetting: every participant and QA reviewer is screened before the program begins. A pilot sample runs first, reviewed and calibrated with you before full-scale collection starts. QA runs in parallel throughout, with ongoing feedback to collectors. Final delivery includes automated checks on naming, formatting, and spec compliance.

Scope changes are handled through structured re-calibration. We pause, realign on updated requirements, run a new pilot sample for your approval, and resume full-scale collection. Timeline implications are scoped and communicated transparently, including time needed on your side for sign-off.

All collected data belongs to you. NDAs, data pipeline audits, device-level restrictions, and controlled access protocols are standard across every program. For pre-commercial hardware or proprietary datasets, additional InfoSec layers are scoped into the program design from the outset.