Data Labeling and Annotation

Reliable ground truth for Physical AI.

Execo runs managed, in-person labeling pods for the 3D, video, and spatial workflows behind autonomous vehicles, robotics, and embodied AI — deployed fast, and built to hold up under your QA, not just ours.

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Built for Physical AI pipelines that demand sustained precision.

We partner with perception and robotics teams who prioritize predictable throughput and edge-case knowledge retention. Execo provides the managed, in-person pods that keep your Inter-Annotator Agreement high and your internal engineers focused on shipping models, not troubleshooting data-induced failure modes.

Our Model

1

In-Person, Managed Pods

Dedicated project managers and quality reviewers sit inside every pod, catching drift against your SLA before it reaches your dataset, not after.

2

Retained Expertise

Sub-0.5% annotator attrition keeps the people who learned your edge cases on your pod, so Inter-Annotator Agreement (IAA) holds instead of resetting every time someone new joins.

3

Plug-and-Play Execution

We work inside existing annotation tooling. No new platform for your team to learn, no migration project before we can start. Our agile pods proactively adapt to your internal workflows and operational edge cases.

4

Fast, Risk-Free Pilots

See real turnaround and precision numbers on your own workflow with a short benchmark pilot, priced upfront, before any sustained commitment.

5

Weeks to Full Volume

Pre-trained annotator benches and a dedicated ops layer mean going from a 10-person pilot to a 100-person production pod in weeks, not months. No hiring cycle between sign-off and full volume.

Our Services

3D LiDAR & Sensor Fusion

Point clouds and multi-sensor feeds labeled to the accuracy demands of your perception stack: 3D point-cloud semantic segmentation, 3D cuboid tracking, vectorized Lane Topology Detection (LTD), and alignment across LiDAR, camera, and radar.

Embodied AI & VLA Datasets

Purpose-built training data for imitation learning and VLA pipelines: egocentric video triage, task-isolation trimming, temporal segmentation, hand-object interaction captioning, and temporally grounded voice narration.

Images & Video Streams

Continuous spatial and semantic perception beyond basic object recognition: polygons, segmentation, and frame-by-frame interpolated tracking, with motion, behavior, and activity recognition layered in.

Quality Audit & Review

A systematic and data-driven quality layer highly calibrated to your standards: tailored IAA tracking, proactive edge-case triage, and closed-loop feedback that stops drift at the source.

How It Works

From first call to production.

Connect

We learn about your client program, volume, and annotation requirements.

Scope

We define guidelines, quality benchmarks, and team structure for the engagement.

Pilot

Rapid sampling or a structured pilot, scoped to your needs, that lets the delivery quality speak for itself.

Production

Full-scale delivery with direct PM access, proactive updates, and consistent output.

Platform & Channel Partnerships

The managed execution layer for AI platforms and data infrastructure.

Whether you need an agile delivery partner to unlock fast-moving, complex opportunities or a trusted execution engine to drive customer adoption and success on your tooling, Execo provides the managed pods to scale your ecosystem.

Let's talk about what your next program needs.

Whether you're scaling an existing engagement or evaluating a new delivery partner, we're happy to start with a conversation about fit.

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Looking for legal AI services?

Data labeling is where our story started. Today, Execo has applied our AI expertise to make legal AI work, from contract data foundation through CLM implementation to managed operations.

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