Enterprise data operating system for physical AI

The standard for
smart dataset delivery.

Find, evaluate, request, and export high-quality multimodal datasets for robotics, autonomous systems, and real-world perception models. Built for the modern ML stack.

Multiple
Curated modalities
Video, audio, sensor, metadata
Secure
Delivery routes
Direct downloads, expiring links
Clip-level
Quality checks
QA, PII, annotation coverage
Managed
Buyer workflow
Requests, approvals, audit trail

Product surface

A catalog that helps ML teams decide, not just browse.

Atlas makes every dataset legible at a glance: what it contains, how it was captured, how clean it is, and how it can be delivered to your training cluster.

Marketplace catalog

A searchable operating catalog for approved collections, private samples, and custom data requests.

Dataset trust layer

Version, consent, PII, QA, annotation, and provenance fields visible before procurement signs off.

ML delivery surface

Manifest exports, secure links, API routes, and package formats designed for model-training teams.

Atlas marketplace

Dataset evaluation view

QA cleared

Fodder cutting (chaff cutter)

LeRobot

9m available with sample media, metadata, and export manifest.

VerifiedVersioned

Fodder cutting (chaff cutter)

LeRobot

5m available with sample media, metadata, and export manifest.

VerifiedVersioned

Cattle/buffalo feeding

LeRobot

3m available with sample media, metadata, and export manifest.

VerifiedVersioned

Explore full catalog

1,400+ specialized datasets

Workforce & Scale

Enterprise scale, ready now.

10k+Trained Workforce
32k+Recruitable Pool
10+Years Community Trust

Why Locara Atlas

Built for production ML, not gig-work.

Atlas is designed for teams that need reliable, high-fidelity data at scale, without compromising on consent or privacy.

Retained, Not Gig

10+ years with the same community. Quality holds steady project after project.

Consent by Default

Every collection follows a documented consent and PII-clearance protocol.

Multi-Modal Scale

Conversational, egocentric, and sensor data without stitching together multiple suppliers.

Access Architecture

Strict role-based access for every dataset.

Atlas provides granular control over who sees what. Superadmins manage the platform, Organization Admins manage their tenants, and Dataset Clients only access explicitly authorized collections.

Access architecture

Locara Atlas IAM

RLS enforced

Platform superadmin

Full platform authority

Locara Atlas organization

Tenant boundary for datasets, members, and access policies

Organization admin

Manages members and owned datasets.

Dataset clients

Use only explicitly authorized data.

Organization isolationAudited policy changesSecure downloads

Data Security & Law

Strict compliance with DPDP & global standards.

We ensure that every byte of data processed and delivered adheres to the Digital Personal Data Protection (DPDP) Act, GDPR, and enterprise security policies. Privacy isn't an afterthought; it's our foundational layer.

DPDP Act Compliant

Consent management and data fiduciary responsibilities fully handled.

Automated PII Masking

Faces, license plates, and sensitive audio are redacted at the source.

Compliance StatusActive
Data LocalizationVerified
Consent LogsAuditable
Data RetentionPolicy Enforced

Powering domain-specific AI

HealthcareEducationE-commerceAgricultureHousehold / ResidentialRobotics & Physical AI

Licensing

Enterprise-friendly terms.

Clear, non-exclusive terms designed to pass procurement smoothly.

Non-Exclusive

Data can be licensed and used alongside other sources, with no exclusivity lock-in.

Sample Availability

Samples available on request prior to purchase for evaluation.

Immediate Delivery

Instant for catalog datasets; custom collections scoped by volume and domain.

Workflow

From discovery to delivery.

The strongest product experience shortens the path from a buyer's question to an engineer's usable dataset.

01

Discover

Search video, audio, sensor, and environment metadata with filters tuned for robotics teams.

02

Evaluate

Inspect samples, QA status, PII checks, annotations, collection context, and dataset composition.

03

Request

Submit scope, volume, deadline, and compliance requirements through a managed access workflow.

04

Export

Deliver manifests and training-ready package formats that engineers can plug into pipelines.

Get Access

Request secure access.

Tell us which organization, role, and dataset scope you need. Every Atlas account is provisioned through an auditable access workflow.

Requested role
What should we provision?