Data Collection
Collect the real world.
Build what comes next.
Sentious plans and runs multimodal data collection in the physical world — environments, hardware, operators, and protocols working as one system, so the data arrives model-ready.
Run collections with your own team, tap into specialized experts, or let Sentious manage the entire program.
Multimodal
Every sensor and signal, captured together.
Expert-led
Trained operators and domain specialists.
Built for scale
From pilot episodes to full programs.
Quality by design
Checks built into capture, not bolted on.
01The Challenge
The data you need
usually doesn’t exist yet.
The datasets that teach real-world behavior can’t be scraped — they have to be created, physically, under conditions that are hard to get right and harder to repeat. Four things make collection genuinely difficult.
02Design
Define the experience
your model needs.
Start from what the model should learn, and Sentious turns it into a structured collection plan — tasks, environments, embodiments, modalities, edge cases, outcomes, and coverage targets.
Collection Objective
Collection Objective
Task
Object classes
Environments
Collection method
Target episodes
Coverage Plan
03Configure
Capture the signals
that matter.
Choose the sensors and metadata your setup needs, and Sentious keeps every stream synchronized against a single clock — from the first frame to the last.
04Capture
Run collections
anywhere the work happens.
From controlled labs to warehouses, homes, and the field — Sentious adapts to the setup, tracks throughput in real time, and scales as the program grows.
05Domain Expertise
The right data
requires the right people.
Sentious can help source, train, manage, and quality-control specialized contributors for your program.
06Managed Services
Your collection program,
run end to end.
Tell us what your model needs. Sentious can design the collection, source and train contributors, deploy workflows, manage operations, validate quality, and deliver the resulting dataset.
Scope
Define what the model needs to learn.
Design
Turn goals into a structured plan.
Recruit
Source the right contributors.
Train
Certify operators on the protocol.
Collect
Run capture across every site.
QA
Validate quality as data lands.
Deliver
Hand off a model-ready dataset.
Flexible by design
One platform. Two ways to work with us.
Use Sentious as a self-serve SaaS platform or partner with us for end-to-end managed services.
The same powerful infrastructure, tailored to your needs.
Same
platform.
Different
approaches.
Hybrid
supported
Turn physical experience into intelligence
07Validate
Know when data is good
before collection ends.
Quality is measured while capture is still running — so problems surface as hundreds of episodes, not hundreds of thousands.
08Coverage
Know what you’ve collected—
and what’s still missing.
Visualize coverage across objects, environments, conditions, and outcomes to guide the next collection.
Reflective objects in cluttered, low-light environments are underrepresented.
Create collection target09Operate
Run collection like
a production system.
Throughput, acceptance, and site health, live — the program is observable the way production infrastructure is.
10One Continuous Platform
Collection is only the beginning.
Get started
The data your model needs
is waiting to be created.
Build and operate collections yourself, or partner with Sentious for a fully managed program — from design and expert sourcing to quality assurance and dataset delivery.