Dserve AI Service

Multi-Modal Data Collection

Multi-Modal Data Collection Services by Dserve AI capture diverse, real-world training data across audio, video, LiDAR, and text. We source highly ethical and compliant datasets globally, enabling your machine learning models to perform reliably across all modalities and edge cases.

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Live Data Collection

Project Brief

Dataset typeMulti-modal

Target volume250,000 units

Languages12 languages

ComplianceGDPR, CCPA

Collection Active

Dataset Ready

1M+

Data units collected across all modalities

30+

Countries sourced across 6 continents

50+

Dataset categories and specializations

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Comprehensive Modality Coverage

Modern foundation models require vast, diverse, and perfectly aligned multi-modal inputs. We capture synchronized data streams across all major sensor types including DICOM, EHR, Biometric, Sensor, and Egocentric Data.

Dicom & EHR

HIPAA-compliant medical imaging, de-identified patient records, and clinical diagnostic histories.

Video & Image

In-cabin driver monitoring, retail shelf scanning, and diverse facial datasets captured in varying lighting conditions.

LiDAR & 3D

Point cloud capture, sensor fusion (Camera + LiDAR), and spatial mapping for autonomous vehicles and robotics.

Text & Audio

Domain-specific document curation, handwriting collection, and multilingual conversational corpora for model pre-training.

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End-to-End Multi-Modal Collection

Interact with the nodes below to explore our end-to-end data collection and fusion pipeline.

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Define Requirements

We align on exactly what you need before a single asset is captured.

Every project starts with a structured brief covering data types, volume targets, demographics, languages, and compliance constraints. Your project manager confirms the spec before any collection begins. No ambiguity, no rework.

Data modalityVolume targetsDemographicsCompliance scope

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Metadata Tagging & QA

Every asset is reviewed, tagged with structured metadata, and quality-checked before entering your dataset.

Raw collected data passes through our QA layer before it ever counts toward your volume commitment. We attach rich metadata (location, device, lighting conditions, speaker demographics, timestamps) to every asset and verify it against your brief. Nothing ships without passing this gate.

Rich metadataQA gateProvenance trackingBrief verification

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Global Collection Campaign

Our specialist network captures data across the exact environments your model needs to learn from.

We deploy field teams and digital collection channels across 30+ countries. Whether you need street-level video in rain, native speech recordings across dialects, or structured text, we capture it to your exact specification. Real-time dashboards keep your team informed.

30+ countriesMulti-modalReal-time trackingEnvironmental diversity

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Structured Delivery

Packaged, documented, and delivered to your cloud storage in your chosen format.

We bundle your dataset with full provenance documentation, a collection summary report, and metadata index. Delivery goes directly to your S3 bucket, GCS, Azure Blob, or SFTP endpoint. We include one revision cycle so if anything needs adjustment, we handle it without extra charges.

AWS S3GCSAzure BlobProvenance docsRevision included

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Ethical Sourcing & Fair Pay

Dataset provenance and consent are non-negotiable. Our collection campaigns operate under a strict ethical protocol ensuring every contributor is informed, compensated fairly, and legally protected.

→ Explicit, auditable opt-in consent for all PII data.
→ Above-market compensation for specialized field contributors.
→ Full legal provenance tracking and copyright clearance.
→ Transparent demographic reporting to prevent model bias.

100% Opt-In

Fully auditable contributor consent

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Global Field Operations

We deploy trained collection teams and crowdsourced channels across the globe, ensuring your dataset reflects the true geographic and environmental diversity of your end-users.

Region	Primary Modalities Collected	Key Specialties
North America	Video, LiDAR, Speech, Sensor, Egocentric Data	Autonomous driving (urban/highway), retail shelf, smart home.
Europe (EU)	Speech, Text, Image, DICOM, EHR	GDPR-compliant facial datasets, multilingual NLP corpora.
APAC	Video, Speech, Text	High-density pedestrian tracking, tonal dialect voice collection.
LATAM / MENA	Image, Speech, Biometric	Diverse demographic capture, low-resource language corpora.

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Accelerate your AI roadmap.

Deploy enterprise-grade data pipelines. Speak with our engineering team to architect a custom solution for your proprietary models.

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