Custom human data collection for AI teams

Human behavior data for models that need to act.

selano helps AI labs and product teams source consented, rights-cleared human data across mobile use, computer use, voice interaction, real-world media, and expert workflows.

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Data categories

Hard-to-source human data for training, evaluation, and agent performance.

We build custom contributor panels and collection workflows for AI teams that need real human behavior, real device interaction, real speech, and real-world context.

01 / Flagship

Mobile and computer-use behavior

Real user journeys captured across phones, laptops, apps, browsers, and digital workflows. Built for AI agents that need to understand how people search, compare, message, purchase, complete tasks, and move across interfaces.

  • End-to-end task trajectories across mobile apps, browsers, and desktop workflows
  • Tap, scroll, click, dwell, screen state, and multi-step context
  • Commerce, productivity, fintech, messaging, travel, search, and social workflows
  • Optional annotation, intent labeling, success criteria, and outcome scoring
02

Voice and speech interaction data

Natural speech, voice commands, conversations, accents, languages, and task-based voice interactions collected from real contributors. Built for voice AI systems, assistants, call agents, speech models, and multimodal products.

  • Scripted and unscripted speech collection
  • Conversational voice tasks and assistant-style interactions
  • Accent, language, age-range, and market-specific contributor panels
  • Transcription, labeling, quality review, and metadata available on request
03

Real-world media, documents, and expert workflows

Photos, videos, documents, and specialist task data contributed by real people in real environments. Useful for multimodal models, document understanding, workflow automation, and domain-specific evaluation.

  • Photos, videos, receipts, forms, handwriting, screenshots, and workflow records
  • Domain-specific tasks from finance, healthcare, legal, operations, and customer support
  • Native-speaker and multilingual review across underrepresented languages
  • Custom collection design based on your model, task, and evaluation needs
Use cases

Built for teams training models that interact with people, devices, and workflows.

AI systems are moving from answering questions to completing tasks. That shift requires datasets that show how real people behave across screens, apps, speech, documents, and real-world environments.

selano designs and manages custom data collection programs for teams building AI agents, voice products, multimodal systems, and workflow automation models.

You define the target behavior, market, language, device, task, or domain. We source contributors, run the collection, review quality, and deliver structured datasets ready for training, evaluation, or post-training.

Why us

Custom collection without building your own field operation.

Built around your model need

We start with the task your model needs to learn or evaluate, then design the collection flow, contributor profile, metadata, and review process around that requirement.

Real users, real devices, real workflows

We collect behavior from actual contributors using real phones, computers, apps, browsers, documents, and voice environments, not simulated panel responses.

Consent and usage rights from day one

Contributor consent, data usage permissions, provenance, and compensation are built into the collection process before any dataset is delivered.

Flexible by market, language, and task

Collections can be scoped by geography, language, device type, app category, domain expertise, demographic range, or workflow complexity.

Quality control for model teams

We can provide structured metadata, task labels, outcome labels, human review, rejection criteria, and delivery formats aligned with your training or evaluation pipeline.

From pilot to recurring supply

Start with a small pilot dataset, then expand into recurring collection panels for ongoing training, evaluation, refreshes, and new model releases.

Start a collection

Need a human dataset that does not exist yet?

Tell us what your model needs to learn, evaluate, or improve. We can help design the collection, source the contributors, and deliver the dataset.

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