Accepting New Pilot Programs

Multimodal Annotation Teams That Scale

Image, video, 3D, text, and speech labeling—delivered by trained specialists. Built for AI teams and annotation platforms.

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300+ Trained Annotators
98%+ QC Pass Rate*
<5% Rework Rate*
100% On-time Delivery*

Capabilities

Multimodal Data Annotation

Production-ready training and evaluation data. Our teams handle complex edge cases with documented guidelines and multi-stage QA.

Vision

  • Object detection & tracking
  • Semantic segmentation
  • Scene classification
  • Video QA and auditing

3D & Sensor

  • LiDAR point clouds
  • 3D cuboids & BEV
  • Sensor fusion
  • 4D temporal sequences

Language

  • Transcription & OCR
  • Text classification
  • Entity extraction
  • RLHF ranking

Generative AI

  • Model evaluation
  • AIGC filtering
  • Safety & Policy
  • Adversarial sets

Quality You Can Audit,
Capacity You Can Rely On

Metric Typical Notes
QC pass rate* 98%+ Defined per guideline; sampled or full QA gates
On-time delivery* 100% Batch delivery against agreed timeline
Rework rate* <5% % returned for correction post-QA

Scale & Operations

  • 300+ trained annotators (distributed delivery)
  • Dedicated team leads and multi-layer QA
  • Flexible team sizing (scale up/down with demand)
  • Timezone coverage for fast iteration

Simple Process, Predictable Results

1

Scope

Share requirements and sample data. We align on specs, edge cases, acceptance criteria, and reporting.

2

Pilot

Start with a representative batch to validate quality, turnaround, and workflow fit—before scaling.

3

Scale

Ramp dedicated teams with steady throughput, consistent guidelines, and continuous QA.

Built for AI Teams

1

For AI Teams

Dedicated pods that own your spec, QA gates, and delivery cadence. We become an extension of your team.

2

For Platforms

Teams that operate inside your tooling and processes when required. Seamless integration into your workflow.

Security First

Standard NDAs and DPAs
Client-controlled environments (VPN/VDI)
Least-privilege access & RBAC
Documented incident handling

Proven in Production

Use Case

Autonomy / Physical AI

2D/3D/4D labeling workflows including segmentation, fusion tasks, and long-sequence annotation—with consistent QA gates.

Use Case

Trust & Safety

High-throughput image/video/text review and labeling with policy taxonomy alignment, QA auditing, and escalation workflows.

Use Case

GenAI Evaluation

Multimodal evaluation sets, output auditing, and AIGC filtering to improve model quality and safety.