We collect the data your model needs.

Tell us what data you need, where it has to come from, and the format your team needs. Deepen scopes the requirement, runs the collection workflow, verifies the result, and delivers usable data for your pipeline.

Start with the data your team needs.

Some teams need text. Others need voice, images, point clouds, motion, or synchronized sensor streams. Collect as a Service starts with the requirement and works backward into the right collection workflow.

Language & sound
  • Text & documents

    Prompts, transcripts, structured records and domain text, to your schema and language mix.

  • Voice & audio

    Speech, commands, ambient and acoustic events, paired with video when the task needs it.

Scenes & space
  • Images & video

    Across cameras, scenes, lighting, motion and operating conditions.

  • 2D, 3D & spatial

    Point clouds, depth and multi-view captures for perception and reconstruction.

  • Geospatial & aerial

    Drone, mapping, survey and infrastructure data for large environments.

Motion & machines
  • Sensor streams

    Camera, LiDAR, radar, IMU and GNSS, synchronized for systems that fuse signals.

  • Motion & mocap

    Pose, gesture, activity and object interaction for models that learn behavior.

  • Ego-centric & wearable

    First-person and device-mounted capture for embodied AI, robotics and AR.

  • Telemetry, logs & events

    Time-series, machine logs and operational signals around the patterns that matter.

When the dataset does not exist yet.

Teams come to Deepen when the data they need is missing, rare, hard to capture, or trapped outside the format their pipeline expects.

01 · Fill a dataset gap

Target the missing edge cases, environments, languages, motions or scenarios.

02 · Build from zero

A new dataset for a model, task or domain where usable data does not exist yet.

03 · Capture the long tail

Rare, hard-to-repeat examples that matter more than another million easy frames.

04 · Match the environment

The region, language, lighting, weather, facility or route your system actually sees.

05 · Combine modalities

Text, voice, video, sensor streams, point clouds, motion or telemetry, paired.

06 · Deliver to spec

Packaged to the schema, format, metadata and workflow your team already uses.

From data request to usable dataset.

One clear path from the requirement to data you can build on, run by a dedicated team with a shared plan.

Define

Modality, source, environment, volume, format, rights, and downstream use.

Design

Collection approach, capture requirements, review process, metadata, delivery.

Collect

Deepen manages the workflow across the modalities and environments required.

Verify

Each batch is checked against the agreed quality bar before it moves on.

Usable
Delivered · schema, format, structure

Tell us the data you need.

Share the modality, source, format, environment, and downstream use case. We will scope the collection and route it to the right team.

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